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Volumn 8, Issue , 2006, Pages 567-599

Prognosis in critical care

Author keywords

Critical care; Logistic regression; Neural networks; Predictive modeling; Prognostication; Risk modeling; Severity of illness

Indexed keywords

DECISION MAKING; INTENSIVE CARE UNITS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL METHODS;

EID: 33748323431     PISSN: 15239829     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev.bioeng.8.061505.095842     Document Type: Review
Times cited : (55)

References (211)
  • 1
    • 0020173301 scopus 로고
    • Assessment of pediatric intensive care - Application of the Therapeutic Intervention Scoring System
    • Yeh TS, Pollack MM, Holbrook PR, Fields AI, Ruttiman U. 1982. Assessment of pediatric intensive care-application of the Therapeutic Intervention Scoring System. Crit. Care Med. 10(8):497-500
    • (1982) Crit. Care Med. , vol.10 , Issue.8 , pp. 497-500
    • Yeh, T.S.1    Pollack, M.M.2    Holbrook, P.R.3    Fields, A.I.4    Ruttiman, U.5
  • 2
    • 0016044643 scopus 로고
    • Therapeutic intervention scoring system: A method for quantitative comparison of patient care
    • Cullen DJ, Civetta JM, Briggs BA, Ferrara LC. 1974. Therapeutic intervention scoring system: a method for quantitative comparison of patient care. Crit. Care Med. 2(2):57-60
    • (1974) Crit. Care Med. , vol.2 , Issue.2 , pp. 57-60
    • Cullen, D.J.1    Civetta, J.M.2    Briggs, B.A.3    Ferrara, L.C.4
  • 3
    • 0020959670 scopus 로고
    • Therapeutic Intervention Scoring System: Update 1983
    • Keene AR, Cullen DJ. 1983. Therapeutic Intervention Scoring System: update 1983. Crit. Care Med. 11(1):1-3
    • (1983) Crit. Care Med. , vol.11 , Issue.1 , pp. 1-3
    • Keene, A.R.1    Cullen, D.J.2
  • 4
    • 0026409568 scopus 로고
    • The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults
    • Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, et al. 1991. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 100(6):1619-36
    • (1991) Chest , vol.100 , Issue.6 , pp. 1619-1636
    • Knaus, W.A.1    Wagner, D.P.2    Draper, E.A.3    Zimmerman, J.E.4    Bergner, M.5
  • 5
    • 0027422556 scopus 로고
    • Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients
    • Lemeshow S, Teres D, Klar J, Avrunin JS, Gehlbach SH, Rapoport J. 1993. Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. JAMA. 270(20):2478-86
    • (1993) JAMA. , vol.270 , Issue.20 , pp. 2478-2486
    • Lemeshow, S.1    Teres, D.2    Klar, J.3    Avrunin, J.S.4    Gehlbach, S.H.5    Rapoport, J.6
  • 7
    • 0029931329 scopus 로고    scopus 로고
    • PRISM III: An updated pediatric risk of mortality score
    • Pollack MM, Patel KM, Ruttimann UE. 1996. PRISM III: an updated pediatric risk of mortality score. Crit. Care Med. 24(5):743-52
    • (1996) Crit. Care Med. , vol.24 , Issue.5 , pp. 743-752
    • Pollack, M.M.1    Patel, K.M.2    Ruttimann, U.E.3
  • 8
    • 0024804285 scopus 로고
    • Peer review, publication policy, and APACHE
    • Teres D. 1989. Peer review, publication policy, and APACHE. Crit. Care Med. 17(12 Pt. 2):S169-172
    • (1989) Crit. Care Med. , vol.17 , Issue.12 PART 2
    • Teres, D.1
  • 9
    • 0032783880 scopus 로고    scopus 로고
    • Outcomes research in critical care: Results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research
    • The Members of the Outcomes Research Workshop
    • Rubenfeld GD, Angus DC, Pinsky MR, Curtis JR, Connors AF Jr, Bernard GR. 1999. Outcomes research in critical care: results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research. The Members of the Outcomes Research Workshop. Am. J. Respir. Crit. Care Med. 160(1):358-67
    • (1999) Am. J. Respir. Crit. Care Med. , vol.160 , Issue.1 , pp. 358-367
    • Rubenfeld, G.D.1    Angus, D.C.2    Pinsky, M.R.3    Curtis, J.R.4    Connors Jr., A.F.5    Bernard, G.R.6
  • 10
    • 0031178260 scopus 로고    scopus 로고
    • Predicting survival in the intensive care unit
    • Hunt JP, Meyer AA. 1997. Predicting survival in the intensive care unit. Curr. Prob. Surg. 34(7):527-99
    • (1997) Curr. Prob. Surg. , vol.34 , Issue.7 , pp. 527-599
    • Hunt, J.P.1    Meyer, A.A.2
  • 11
    • 0031918615 scopus 로고    scopus 로고
    • Understanding articles comparing outcomes among intensive care units to rate quality of care
    • Evidence Based Medicine in Critical Care Group
    • Randolph AG, Guyatt GH, Carlet J. 1998. Understanding articles comparing outcomes among intensive care units to rate quality of care. Evidence Based Medicine in Critical Care Group. Crit. Care Med. 26(4):773-81
    • (1998) Crit. Care Med. , vol.26 , Issue.4 , pp. 773-781
    • Randolph, A.G.1    Guyatt, G.H.2    Carlet, J.3
  • 12
    • 0025972691 scopus 로고
    • Patterns of resource consumption in medical intensive care
    • Oye RK, Bellamy PE. 1991. Patterns of resource consumption in medical intensive care. Chest 99(3):685-89
    • (1991) Chest , vol.99 , Issue.3 , pp. 685-689
    • Oye, R.K.1    Bellamy, P.E.2
  • 13
    • 0028799431 scopus 로고
    • Potentially ineffective care. A new outcome to assess the limits of critical care
    • Esserman L, Belkora J, Lenert L. 1995. Potentially ineffective care. A new outcome to assess the limits of critical care. JAMA. 274(19):1544-51
    • (1995) JAMA. , vol.274 , Issue.19 , pp. 1544-1551
    • Esserman, L.1    Belkora, J.2    Lenert, L.3
  • 14
    • 0030883070 scopus 로고    scopus 로고
    • Method of Medicare reimbursement and the rate of potentially ineffective care of critically ill patients
    • Cher DJ, Lenert LA. 1997. Method of Medicare reimbursement and the rate of potentially ineffective care of critically ill patients. JAMA. 278(12):1001-7.
    • (1997) JAMA. , vol.278 , Issue.12 , pp. 1001-1007
    • Cher, D.J.1    Lenert, L.A.2
  • 15
    • 85136396034 scopus 로고    scopus 로고
    • Erratum
    • Erratum. 1998. JAMA 279(23):1876
    • (1998) JAMA , vol.279 , Issue.23 , pp. 1876
  • 16
    • 13244258275 scopus 로고    scopus 로고
    • Predicting patient outcomes, futility, and resource utilization in the intensive care unit: The role of severity scoring systems and general outcome prediction models
    • Mendez-Tellez PA, Dorman T. 2005. Predicting patient outcomes, futility, and resource utilization in the intensive care unit: the role of severity scoring systems and general outcome prediction models. Mayo Clin. Proc. 80(2):161-63
    • (2005) Mayo Clin. Proc. , vol.80 , Issue.2 , pp. 161-163
    • Mendez-Tellez, P.A.1    Dorman, T.2
  • 17
    • 0028850811 scopus 로고
    • Round table conference on clinical trials for the treatment of sepsis
    • Sibbald WJ, Vincent JL. 1995. Round table conference on clinical trials for the treatment of sepsis. Crit. Care Med. 23(2):394-99
    • (1995) Crit. Care Med. , vol.23 , Issue.2 , pp. 394-399
    • Sibbald, W.J.1    Vincent, J.L.2
  • 18
    • 0021297733 scopus 로고
    • The value of measuring severity of disease in clinical research on acutely ill patients
    • Knaus WA, Wagner DP, Draper EA. 1984. The value of measuring severity of disease in clinical research on acutely ill patients. J. Chronic Dis. 37(6):455-63
    • (1984) J. Chronic Dis. , vol.37 , Issue.6 , pp. 455-463
    • Knaus, W.A.1    Wagner, D.P.2    Draper, E.A.3
  • 19
    • 0031858715 scopus 로고    scopus 로고
    • An evidence-based approach to round tables and consensus conferences
    • Vincent JL, Berre J. 1998. An evidence-based approach to round tables and consensus conferences. Crit. Care Clin. 14(3):539-47
    • (1998) Crit. Care Clin. , vol.14 , Issue.3 , pp. 539-547
    • Vincent, J.L.1    Berre, J.2
  • 20
    • 0034780647 scopus 로고    scopus 로고
    • End-of-life care in the intensive care unit: A research agenda
    • Rubenfeld GD, Randall Curtis J, End-of-Life Care in the ICU Working Group. 2001. End-of-life care in the intensive care unit: a research agenda. Crit. Care Med. 29(10):2001-6
    • (2001) Crit. Care Med. , vol.29 , Issue.10 , pp. 2001-2006
    • Rubenfeld, G.D.1    Randall Curtis, J.2
  • 21
    • 0027366981 scopus 로고
    • Do-not-resuscitate orders in intensive care units. Current practices and recent changes
    • Jayes RL, Zimmerman JE, Wagner DP, Draper EA, Knaus WA. 1993.Do-not-resuscitate orders in intensive care units. Current practices and recent changes. JAMA 270(18):2213-17
    • (1993) JAMA , vol.270 , Issue.18 , pp. 2213-2217
    • Jayes, R.L.1    Zimmerman, J.E.2    Wagner, D.P.3    Draper, E.A.4    Knaus, W.A.5
  • 22
    • 0030889201 scopus 로고    scopus 로고
    • The illusion of end-of-life resource savings with advance directives. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment
    • Teno J, Lynn J, Connors AF Jr, Wenger N, Phillips RS, et al. 1997. The illusion of end-of-life resource savings with advance directives. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. J. Am. Geriatr. Soc. 45(4):513-18
    • (1997) J. Am. Geriatr. Soc. , vol.45 , Issue.4 , pp. 513-518
    • Teno, J.1    Lynn, J.2    Connors Jr., A.F.3    Wenger, N.4    Phillips, R.S.5
  • 23
    • 0026715586 scopus 로고
    • Predicting outcome after ICU admission. The art and science of assessing risk
    • Schuster DP. 1992. Predicting outcome after ICU admission. The art and science of assessing risk. Chest 102(6):1861-70
    • (1992) Chest , vol.102 , Issue.6 , pp. 1861-1870
    • Schuster, D.P.1
  • 24
    • 84942383855 scopus 로고
    • Modeling the severity of illness of ICU patients. A systems update
    • Lemeshow S, Le Gall JR. 1994. Modeling the severity of illness of ICU patients. A systems update. JAMA. 272(13):1049-55
    • (1994) JAMA , vol.272 , Issue.13 , pp. 1049-1055
    • Lemeshow, S.1    Le Gall, J.R.2
  • 26
    • 0028227224 scopus 로고
    • Predicting outcome in ICU patients
    • 2nd European Consensus Conference in Intensive Care Medicine
    • Anonymous. 1994. Predicting outcome in ICU patients. 2nd European Consensus Conference in Intensive Care Medicine. Intensive Care Med. 20(5):390-97
    • (1994) Intensive Care Med. , vol.20 , Issue.5 , pp. 390-397
  • 27
    • 0034657861 scopus 로고    scopus 로고
    • Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians
    • Carpenter J, Bithell J. 2000. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat. Med. 19(9):1141-64
    • (2000) Stat. Med. , vol.19 , Issue.9 , pp. 1141-1164
    • Carpenter, J.1    Bithell, J.2
  • 28
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley JA, McNeil BJ. 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1):29-36
    • (1982) Radiology. , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 29
    • 0027457620 scopus 로고
    • Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine
    • Zweig MH, Campbell G. 1993. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39(4):561-77.
    • (1993) Clin. Chem. , vol.39 , Issue.4 , pp. 561-577
    • Zweig, M.H.1    Campbell, G.2
  • 30
    • 0027216912 scopus 로고
    • Erratum
    • Erratum. 1993. Clin. Chem. 39(8):1589
    • (1993) Clin. Chem. , vol.39 , Issue.8 , pp. 1589
  • 31
    • 0031941805 scopus 로고    scopus 로고
    • Prognosis in the intensive care unit: Finding accurate and useful estimates for counseling patients
    • Randolph AG, Guyatt GH, Richardson WS. 1998. Prognosis in the intensive care unit: finding accurate and useful estimates for counseling patients. Crit. Care Med. 26(4):767-72
    • (1998) Crit. Care Med. , vol.26 , Issue.4 , pp. 767-772
    • Randolph, A.G.1    Guyatt, G.H.2    Richardson, W.S.3
  • 33
    • 0020063002 scopus 로고
    • Review of goodness of fit statistics for use in the development of logistic regression models
    • Lemeshow A. 1982. Review of goodness of fit statistics for use in the development of logistic regression models. Am. J. Epidemiol. 115:92-106
    • (1982) Am. J. Epidemiol. , vol.115 , pp. 92-106
    • Lemeshow, A.1
  • 34
    • 0028047812 scopus 로고
    • Statistical approaches to development and validation of predictive instruments
    • Ruttimann UE. 1994. Statistical approaches to development and validation of predictive instruments. Crit. Care Clin. 10(1):19-35
    • (1994) Crit. Care Clin. , vol.10 , Issue.1 , pp. 19-35
    • Ruttimann, U.E.1
  • 35
    • 0033574245 scopus 로고    scopus 로고
    • Assessing the generalizability of prognostic information
    • Justice AC, Covinsky KE, Berlin JA. 1999. Assessing the generalizability of prognostic information. Ann. Intern. Med. 16 130(6):515-24
    • (1999) Ann. Intern. Med. , vol.130 , Issue.6 , pp. 515-524
    • Justice, A.C.1    Covinsky, K.E.2    Berlin, J.A.3
  • 37
    • 0028135316 scopus 로고
    • Approaches to predictive modeling
    • Steen PM. 1994. Approaches to predictive modeling. Ann. Thorac. Surg. 58(6):1836-40
    • (1994) Ann. Thorac. Surg. , vol.58 , Issue.6 , pp. 1836-1840
    • Steen, P.M.1
  • 38
    • 0034728356 scopus 로고    scopus 로고
    • What do we mean by validating a prognostic model?
    • 19
    • Altman DG, Royston P. 2000. What do we mean by validating a prognostic model? Stat. Med. 29 19(4):453-73
    • (2000) Stat. Med. , vol.29 , Issue.4 , pp. 453-473
    • Altman, D.G.1    Royston, P.2
  • 39
    • 0033965501 scopus 로고    scopus 로고
    • Prognostic systems in intensive care: How do you interpret an observed mortality that is higher than expected?
    • Zimmerman JE, Wagner DP. 2000. Prognostic systems in intensive care: how do you interpret an observed mortality that is higher than expected? Crit. Care Med. 28(1):258-60
    • (2000) Crit. Care Med. , vol.28 , Issue.1 , pp. 258-260
    • Zimmerman, J.E.1    Wagner, D.P.2
  • 40
    • 0028012831 scopus 로고
    • Why severity models should be used with caution
    • discussion pp. 111-15
    • Teres D, Lemeshow S. 1994. Why severity models should be used with caution. Crit. Care Clin. 10(1):93-110; discussion pp. 111-15
    • (1994) Crit. Care Clin. , vol.10 , Issue.1 , pp. 93-110
    • Teres, D.1    Lemeshow, S.2
  • 41
    • 0027504704 scopus 로고
    • Intensive Care Society's APACHE II study in Britain and Ireland-II: Outcome comparisons of intensive care units after adjustment for case mix by the American APACHE II method
    • Rowan KM, Kerr JH, Major E, McPherson K, Short A, Vessey MP. 1993. Intensive Care Society's APACHE II study in Britain and Ireland-II: outcome comparisons of intensive care units after adjustment for case mix by the American APACHE II method. BMJ 307(6910):977-81
    • (1993) BMJ , vol.307 , Issue.6910 , pp. 977-981
    • Rowan, K.M.1    Kerr, J.H.2    Major, E.3    McPherson, K.4    Short, A.5    Vessey, M.P.6
  • 42
    • 0033786576 scopus 로고    scopus 로고
    • Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: A simulation study
    • Glance LG, Osler TM, Papadakos P. 2000. Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: a simulation study. Crit. Care Med. 28(10):3424-28
    • (2000) Crit. Care Med. , vol.28 , Issue.10 , pp. 3424-3428
    • Glance, L.G.1    Osler, T.M.2    Papadakos, P.3
  • 43
    • 0033786579 scopus 로고    scopus 로고
    • What if your hospital informatics department could provide a severity adjuster?
    • Teres D, Higgins TL. 2000. What if your hospital informatics department could provide a severity adjuster? Crit. Care Med. 28(10):3570-71
    • (2000) Crit. Care Med. , vol.28 , Issue.10 , pp. 3570-3571
    • Teres, D.1    Higgins, T.L.2
  • 44
    • 0024835169 scopus 로고
    • APACHE III study design: Analytic plan for evaluation of severity and outcome in intensive care unit patients. Study design-data collection
    • Draper E, Wagner D, Russo M, Bergner M, Shortell S, et al. 1989. APACHE III study design: analytic plan for evaluation of severity and outcome in intensive care unit patients. Study design-data collection. Crit. Care Med. 17(12 Pt. 2):S186-93
    • (1989) Crit. Care Med. , vol.17 , Issue.12 PART 2
    • Draper, E.1    Wagner, D.2    Russo, M.3    Bergner, M.4    Shortell, S.5
  • 46
    • 0035145324 scopus 로고    scopus 로고
    • Accuracy and reliability of APACHE II scoring in two intensive care units. Problems and pitfalls in the use of APACHE II and suggestions for improvement
    • Polderman KH, Girbes AR, Thijs LG, Strack van Schijndel RJ. 2001. Accuracy and reliability of APACHE II scoring in two intensive care units. Problems and pitfalls in the use of APACHE II and suggestions for improvement. Anaesthesia 56(1):47-50
    • (2001) Anaesthesia , vol.56 , Issue.1 , pp. 47-50
    • Polderman, K.H.1    Girbes, A.R.2    Thijs, L.G.3    Strack Van Schijndel, R.J.4
  • 47
    • 0029001520 scopus 로고
    • Evaluation of severity scoring systems in ICUs-translation, conversion and definition ambiguities as a source of inter-observer variability in Apache II, SAPS and OSF
    • Fery-Lemonnier E, Landais P, Loirat P, Kleinknecht D, Brivet F. 1995. Evaluation of severity scoring systems in ICUs-translation, conversion and definition ambiguities as a source of inter-observer variability in Apache II, SAPS and OSF. Intensive Care Med. 21(4):356-60
    • (1995) Intensive Care Med. , vol.21 , Issue.4 , pp. 356-360
    • Fery-Lemonnier, E.1    Landais, P.2    Loirat, P.3    Kleinknecht, D.4    Brivet, F.5
  • 48
    • 0030239603 scopus 로고    scopus 로고
    • Predicting clinical states in individual patients
    • Braitman LE, Davidoff F. 1996. Predicting clinical states in individual patients. Ann. Intern. Med. 125(5):406-12
    • (1996) Ann. Intern. Med. , vol.125 , Issue.5 , pp. 406-412
    • Braitman, L.E.1    Davidoff, F.2
  • 49
    • 0034975866 scopus 로고    scopus 로고
    • Problems in the development, validation and adaptation of prognostic models for acute renal failure
    • Lins RL, Elseviers M, Daelemans R, De Broe ME. 2001. Problems in the development, validation and adaptation of prognostic models for acute renal failure. Nephrol. Dial. Transplant. 16(6):1098-101
    • (2001) Nephrol. Dial. Transplant. , vol.16 , Issue.6 , pp. 1098-1101
    • Lins, R.L.1    Elseviers, M.2    Daelemans, R.3    De Broe, M.E.4
  • 50
    • 0019602768 scopus 로고
    • APACHE-acute physiology and chronic health evaluation: A physiologically based classification system
    • Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE. 1981. APACHE-acute physiology and chronic health evaluation: a physiologically based classification system. Crit. Care Med. 9(8):591-97
    • (1981) Crit. Care Med. , vol.9 , Issue.8 , pp. 591-597
    • Knaus, W.A.1    Zimmerman, J.E.2    Wagner, D.P.3    Draper, E.A.4    Lawrence, D.E.5
  • 51
    • 0020603929 scopus 로고
    • Statistical validation of a severity of illness measure
    • Wagner DP, Knaus WA, Draper EA. 1983. Statistical validation of a severity of illness measure. Am. J. Public Health 73(8):878-84
    • (1983) Am. J. Public Health , vol.73 , Issue.8 , pp. 878-884
    • Wagner, D.P.1    Knaus, W.A.2    Draper, E.A.3
  • 54
    • 0023217564 scopus 로고
    • One year's experience with the APACHE II severity of disease classification system in a general intensive care unit
    • Jul
    • Jacobs S, Chang RW, Lee B. 1987. One year's experience with the APACHE II severity of disease classification system in a general intensive care unit. Anaesthesia Jul 42(7):738-44
    • (1987) Anaesthesia , vol.42 , Issue.7 , pp. 738-744
    • Jacobs, S.1    Chang, R.W.2    Lee, B.3
  • 55
    • 0024814786 scopus 로고
    • Validation of a severity of illness score (APACHE II) in a surgical intensive care unit
    • Giangiuliani G, Mancini A, Gui D. 1989. Validation of a severity of illness score (APACHE II) in a surgical intensive care unit. Intensive Care Med. 15(8):519-22
    • (1989) Intensive Care Med. , vol.15 , Issue.8 , pp. 519-522
    • Giangiuliani, G.1    Mancini, A.2    Gui, D.3
  • 56
    • 0025504309 scopus 로고
    • Audit in intensive care. The APACHE II classification of severity of disease
    • Chisakuta AM, Alexander JP. 1990. Audit in intensive care. The APACHE II classification of severity of disease. Ulster Med. J. 59(2):161-67
    • (1990) Ulster Med. J. , vol.59 , Issue.2 , pp. 161-167
    • Chisakuta, A.M.1    Alexander, J.P.2
  • 57
    • 0025932446 scopus 로고
    • Acute physiology and chronic health evaluation (APACHE II) scoring in a cardiothoracic intensive care unit
    • Turner JS, Mudaliar YM, Chang RW, Morgan CJ. 1991. Acute physiology and chronic health evaluation (APACHE II) scoring in a cardiothoracic intensive care unit. Crit. Care Med. 19(10):1266-69
    • (1991) Crit. Care Med. , vol.19 , Issue.10 , pp. 1266-1269
    • Turner, J.S.1    Mudaliar, Y.M.2    Chang, R.W.3    Morgan, C.J.4
  • 58
    • 0026410311 scopus 로고
    • Disease severity in the coronary care unit
    • Teskey RJ, Calvin JE, McPhail I. 1991. Disease severity in the coronary care unit. Chest 100(6):1637-42
    • (1991) Chest , vol.100 , Issue.6 , pp. 1637-1642
    • Teskey, R.J.1    Calvin, J.E.2    McPhail, I.3
  • 59
    • 0029020399 scopus 로고
    • Evaluation of predictive ability of APACHE II system and hospital outcome in Canadian intensive care unit patients
    • Wong DT, Crofts SL, Gomez M, McGuire GP, Byrick RJ. 1995. Evaluation of predictive ability of APACHE II system and hospital outcome in Canadian intensive care unit patients. Crit. Care Med. 23(7):1177-83
    • (1995) Crit. Care Med. , vol.23 , Issue.7 , pp. 1177-1183
    • Wong, D.T.1    Crofts, S.L.2    Gomez, M.3    McGuire, G.P.4    Byrick, R.J.5
  • 60
    • 0023918325 scopus 로고
    • Prognosis of patients receiving intensive care for lifethreatening medical complications of haematological malignancy
    • Lloyd-Thomas AR, Wright I, Lister TA, Hinds CJ. 1988. Prognosis of patients receiving intensive care for lifethreatening medical complications of haematological malignancy. Br. Med. J. Clin. Res. Ed. 296(6628):1025-29
    • (1988) Br. Med. J. Clin. Res. Ed. , vol.296 , Issue.6628 , pp. 1025-1029
    • Lloyd-Thomas, A.R.1    Wright, I.2    Lister, T.A.3    Hinds, C.J.4
  • 61
    • 0024442448 scopus 로고
    • Prognosis of critically-ill patients with acute renal failure: APACHE II score and other predictive factors
    • Maher ER, Robinson KN, Scoble JE, Farrimond JG, Browne DR, et al. 1989. Prognosis of critically-ill patients with acute renal failure: APACHE II score and other predictive factors. Q. J. Med. 72(269):857-66
    • (1989) Q. J. Med. , vol.72 , Issue.269 , pp. 857-866
    • Maher, E.R.1    Robinson, K.N.2    Scoble, J.E.3    Farrimond, J.G.4    Browne, D.R.5
  • 62
    • 0025760070 scopus 로고
    • Experience with the APACHE II severity of disease scoring system in predicting outcome in a surgical intensive therapy unit
    • Edwards AT, Ng KJ, Shandall AA, Price-Thomas JM. 1991. Experience with the APACHE II severity of disease scoring system in predicting outcome in a surgical intensive therapy unit. J.R. Coll. Surg. Edinb. 36(1):37-40
    • (1991) J.R. Coll. Surg. Edinb. , vol.36 , Issue.1 , pp. 37-40
    • Edwards, A.T.1    Ng, K.J.2    Shandall, A.A.3    Price-Thomas, J.M.4
  • 63
    • 0025871970 scopus 로고
    • APACHE II: Prediction of outcome of 451 ICU oncology admissions in a community hospital
    • Abbott RR, Setter M, Chan S, Choi K. 1991. APACHE II: prediction of outcome of 451 ICU oncology admissions in a community hospital. Ann. Oncol. 2(8):571-74
    • (1991) Ann. Oncol. , vol.2 , Issue.8 , pp. 571-574
    • Abbott, R.R.1    Setter, M.2    Chan, S.3    Choi, K.4
  • 64
    • 0026763253 scopus 로고
    • Independent validation of APACHE II severity of illness score for predicting mortality in patients with breast cancer admitted to the intensive care unit
    • Headley J, Theriault R, Smith TL. 1992. Independent validation of APACHE II severity of illness score for predicting mortality in patients with breast cancer admitted to the intensive care unit. Cancer 70(2):497-503
    • (1992) Cancer , vol.70 , Issue.2 , pp. 497-503
    • Headley, J.1    Theriault, R.2    Smith, T.L.3
  • 65
    • 0028839074 scopus 로고
    • Use of the APACHE II scoring system to determine mortality of gynecologic oncology patients in the intensive care unit
    • Van Le L, Fakhry S, Walton LA, Moore DH, Fowler WC, Rutledge R. 1995. Use of the APACHE II scoring system to determine mortality of gynecologic oncology patients in the intensive care unit. Obstet. Gynecol. 85(1):53-56
    • (1995) Obstet. Gynecol. , vol.85 , Issue.1 , pp. 53-56
    • Van Le, L.1    Fakhry, S.2    Walton, L.A.3    Moore, D.H.4    Fowler, W.C.5    Rutledge, R.6
  • 66
    • 0029015236 scopus 로고
    • Acute physiology and chronic health evaluation II scoring system in acute myocardial infarction: A prospective validation study
    • Ludwigs U, Hulting J. 1995. Acute physiology and chronic health evaluation II scoring system in acute myocardial infarction: a prospective validation study. Crit. Care Med. 23(5):854-59
    • (1995) Crit. Care Med. , vol.23 , Issue.5 , pp. 854-859
    • Ludwigs, U.1    Hulting, J.2
  • 68
    • 0043020560 scopus 로고    scopus 로고
    • Evaluation of APACHE II system among intensive care patients at a teaching hospital
    • Chiavone PA, Sens YA. 2003. Evaluation of APACHE II system among intensive care patients at a teaching hospital. Sao Paulo Med. J. 121(2):53-57
    • (2003) Sao Paulo Med. J. , vol.121 , Issue.2 , pp. 53-57
    • Chiavone, P.A.1    Sens, Y.A.2
  • 69
    • 0026286019 scopus 로고
    • Utilizing findings from the APACHE III research to develop operational information system for the ICU-the APACHE III ICU Management System
    • Knaus WA, Draper EA, Wagner DP. 1991. Utilizing findings from the APACHE III research to develop operational information system for the ICU-the APACHE III ICU Management System. Proc. Annu. Symp. Comput. Appl. Med. Care 1991:987-89
    • (1991) Proc. Annu. Symp. Comput. Appl. Med. Care , vol.1991 , pp. 987-989
    • Knaus, W.A.1    Draper, E.A.2    Wagner, D.P.3
  • 70
    • 33748322298 scopus 로고
    • Comment on "The case for using objective scoring systems to predict intensive care unit outcome."
    • Teres D. 1994. Comment on "The Case for Using Objective Scoring Systems to Predict Intensive Care Unit Outcome." Crit. Care Clin. 10:91-92
    • (1994) Crit. Care Clin. , vol.10 , pp. 91-92
    • Teres, D.1
  • 71
    • 33748299836 scopus 로고
    • Comment on "Why severity models should be used with caution."
    • Watts C, Knaus W. 1994. Comment on "Why Severity Models should be used with caution." Crit. Care Clin. 10:111-16
    • (1994) Crit. Care Clin. , vol.10 , pp. 111-116
    • Watts, C.1    Knaus, W.2
  • 72
    • 0031880379 scopus 로고    scopus 로고
    • Evaluation of acute physiology and chronic health evaluation III predictions of hospital mortality in an independent database
    • Zimmerman JE, Wagner DP, Draper EA, Wright L, Alzola C, Knaus WA. 1998. Evaluation of acute physiology and chronic health evaluation III predictions of hospital mortality in an independent database. Crit. Care Med. 26(8):1317-26
    • (1998) Crit. Care Med. , vol.26 , Issue.8 , pp. 1317-1326
    • Zimmerman, J.E.1    Wagner, D.P.2    Draper, E.A.3    Wright, L.4    Alzola, C.5    Knaus, W.A.6
  • 73
    • 0032990365 scopus 로고    scopus 로고
    • Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system
    • Pappachan JV, Millar B, Bennett ED, Smith GB. 1999. Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system. Chest 115(3):802-10
    • (1999) Chest , vol.115 , Issue.3 , pp. 802-810
    • Pappachan, J.V.1    Millar, B.2    Bennett, E.D.3    Smith, G.B.4
  • 74
    • 0031262344 scopus 로고    scopus 로고
    • Risk stratification and prognosis in critical surgical patients using the Acute Physiology, Age and Chronic Health III System (APACHE III)
    • Carneiro AV, Leitao MP, Lopes MG, De Padua F. 1997. Risk stratification and prognosis in critical surgical patients using the Acute Physiology, Age and Chronic Health III System (APACHE III). Acta Med. Port. 10(11):751-60
    • (1997) Acta Med. Port. , vol.10 , Issue.11 , pp. 751-760
    • Carneiro, A.V.1    Leitao, M.P.2    Lopes, M.G.3    De Padua, F.4
  • 75
    • 0031912272 scopus 로고    scopus 로고
    • Validation of the acute physiology and chronic health evaluation (APACHE) III scoring system and comparison with APACHE II in German intensive care units
    • von Bierbrauer A, Riedel S, Cassel W, von Wiehert P. 1998. Validation of the acute physiology and chronic health evaluation (APACHE) III scoring system and comparison with APACHE II in German intensive care units. Anaesthesia. 47(1):30-38
    • (1998) Anaesthesia. , vol.47 , Issue.1 , pp. 30-38
    • Von Bierbrauer, A.1    Riedel, S.2    Cassel, W.3    Von Wiehert, P.4
  • 76
    • 0029896553 scopus 로고    scopus 로고
    • Application of the APACHE III prognostic system in Brazilian intensive care units: A prospective multicenter study
    • Bastos PG, Sun X, Wagner DP, Knaus WA, Zimmerman JE. 1996. Application of the APACHE III prognostic system in Brazilian intensive care units: a prospective multicenter study. Intensive Care Med. 22(6):564-70
    • (1996) Intensive Care Med. , vol.22 , Issue.6 , pp. 564-570
    • Bastos, P.G.1    Sun, X.2    Wagner, D.P.3    Knaus, W.A.4    Zimmerman, J.E.5
  • 77
    • 0037839035 scopus 로고    scopus 로고
    • Predictive accuracy of severity scoring system: A prospective cohort study using APACHE III in a Korean intensive care unit
    • Ihnsook J, Myunghee K, Jungsoon K. 2003. Predictive accuracy of severity scoring system: a prospective cohort study using APACHE III in a Korean intensive care unit. Int J. Nurs. Stud. 40(3):219-26
    • (2003) Int J. Nurs. Stud. , vol.40 , Issue.3 , pp. 219-226
    • Ihnsook, J.1    Myunghee, K.2    Jungsoon, K.3
  • 79
    • 0034538507 scopus 로고    scopus 로고
    • Performance of APACHE III models in an Australian ICU
    • Cook DA. 2000. Performance of APACHE III models in an Australian ICU. Chest 118(6):1732-38
    • (2000) Chest , vol.118 , Issue.6 , pp. 1732-1738
    • Cook, D.A.1
  • 80
    • 0035986111 scopus 로고    scopus 로고
    • Prospective independent validation of APACHE III models in an Australian tertiary adult intensive care unit
    • Cook DA, Joyce CJ, Barnett RJ, Birgan SP, Playford H, et al. 2002. Prospective independent validation of APACHE III models in an Australian tertiary adult intensive care unit. Anaesth. Intensive Care 30(3):308-15
    • (2002) Anaesth. Intensive Care , vol.30 , Issue.3 , pp. 308-315
    • Cook, D.A.1    Joyce, C.J.2    Barnett, R.J.3    Birgan, S.P.4    Playford, H.5
  • 82
    • 16244366026 scopus 로고
    • Index for rating diagnostic tests
    • Youden W. 1950. Index for rating diagnostic tests. Cancer 3:32-36
    • (1950) Cancer , vol.3 , pp. 32-36
    • Youden, W.1
  • 83
    • 0027132478 scopus 로고
    • A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study
    • Le Gall JR, Lemeshow S, Saulnier F. 1993. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA 270(24):2957-63.
    • (1993) JAMA , vol.270 , Issue.24 , pp. 2957-2963
    • Le Gall, J.R.1    Lemeshow, S.2    Saulnier, F.3
  • 84
    • 84942386300 scopus 로고
    • Erratum
    • Erratum. 1994. JAMA 271(17):1321
    • (1994) JAMA , vol.271 , Issue.17 , pp. 1321
  • 85
    • 0030475757 scopus 로고    scopus 로고
    • The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: Results from GiViTI
    • Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva
    • Apolone G, Bertolini G, D'Amico R, Iapichino G, Cattaneo A, et al. 1996. The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: results from GiViTI. Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva. Intensive Care Med. 22(12):1368-78
    • (1996) Intensive Care Med. , vol.22 , Issue.12 , pp. 1368-1378
    • Apolone, G.1    Bertolini, G.2    D'Amico, R.3    Iapichino, G.4    Cattaneo, A.5
  • 86
    • 0032982792 scopus 로고    scopus 로고
    • Prognostic performance and customization of the SAPS II: Results of a multicenter Austrian study. Simplified Acute Physiology Score
    • Metnitz PG, Valentin A, Vesely H, Alberti C, Lang T, et al. 1999. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Simplified Acute Physiology Score. Intensive Care Med. 25(2):192-97
    • (1999) Intensive Care Med. , vol.25 , Issue.2 , pp. 192-197
    • Metnitz, P.G.1    Valentin, A.2    Vesely, H.3    Alberti, C.4    Lang, T.5
  • 87
    • 0031933618 scopus 로고    scopus 로고
    • Severity-of-illness scores for neutropenic cancer patients in an intensive care unit: Which is the best predictor? Do multiple assessment times improve the predictive value?
    • Guiguet M, Blot F, Escudier B, Antoun S, Leclercq B, Nitenberg G. 1998. Severity-of-illness scores for neutropenic cancer patients in an intensive care unit: which is the best predictor? Do multiple assessment times improve the predictive value? Crit. Care Med. 26(3):488-93
    • (1998) Crit. Care Med. , vol.26 , Issue.3 , pp. 488-493
    • Guiguet, M.1    Blot, F.2    Escudier, B.3    Antoun, S.4    Leclercq, B.5    Nitenberg, G.6
  • 88
    • 0023103251 scopus 로고
    • Validation of the mortality prediction model for ICU patients
    • Teres D, Lemeshow S, Avrunin JS, Pastides H. 1987. Validation of the mortality prediction model for ICU patients. Crit. Care Med. 15(3):208-13
    • (1987) Crit. Care Med. , vol.15 , Issue.3 , pp. 208-213
    • Teres, D.1    Lemeshow, S.2    Avrunin, J.S.3    Pastides, H.4
  • 89
    • 0026021357 scopus 로고
    • Mortality prediction models in intensive care: Acute physiology and chronic health evaluation II and mortality prediction model compared
    • Castella X, Gilabert J, Torner F, Torres C. 1991. Mortality prediction models in intensive care: acute physiology and chronic health evaluation II and mortality prediction model compared. Crit. Care Med. 19(2):191-97
    • (1991) Crit. Care Med. , vol.19 , Issue.2 , pp. 191-197
    • Castella, X.1    Gilabert, J.2    Torner, F.3    Torres, C.4
  • 90
    • 0027957121 scopus 로고
    • Intensive Care Society's Acute Physiology and Chronic Health Evaluation (APACHE II) study in Britain and Ireland: A prospective, multicenter, cohort study comparing two methods for predicting outcome for adult intensive care patients
    • Rowan KM, Kerr JH, Major E, McPherson K, Short A, Vessey MP. 1994. Intensive Care Society's Acute Physiology and Chronic Health Evaluation (APACHE II) study in Britain and Ireland: a prospective, multicenter, cohort study comparing two methods for predicting outcome for adult intensive care patients. Crit. Care Med. 22(9):1392-401
    • (1994) Crit. Care Med. , vol.22 , Issue.9 , pp. 1392-1401
    • Rowan, K.M.1    Kerr, J.H.2    Major, E.3    McPherson, K.4    Short, A.5    Vessey, M.P.6
  • 92
    • 0028850366 scopus 로고
    • Severity scores in respiratory intensive care: APACHE II predicted mortality better than SAPS II
    • Del Bufalo C, Morelli A, Bassein L, Fasano L, Quarta CC, et al. 1995. Severity scores in respiratory intensive care: APACHE II predicted mortality better than SAPS II. Respir. Care 40(10):1042-47
    • (1995) Respir. Care , vol.40 , Issue.10 , pp. 1042-1047
    • Del Bufalo, C.1    Morelli, A.2    Bassein, L.3    Fasano, L.4    Quarta, C.C.5
  • 93
    • 0029142658 scopus 로고
    • A comparison of severity of illness scoring systems for intensive care unit patients: Results of a multicenter, multinational study
    • The European/North American Severity Study Group
    • Castella X, Artigas A, Bion J, Kari A. 1995. A comparison of severity of illness scoring systems for intensive care unit patients: results of a multicenter, multinational study. The European/North American Severity Study Group. Crit. Care Med. 23(8):1327-35
    • (1995) Crit. Care Med. , vol.23 , Issue.8 , pp. 1327-1335
    • Castella, X.1    Artigas, A.2    Bion, J.3    Kari, A.4
  • 94
    • 0031953341 scopus 로고    scopus 로고
    • Evaluation of the uniformity of fit of general outcome prediction models
    • Moreno R, Apolone G, Miranda DR. 1998. Evaluation of the uniformity of fit of general outcome prediction models. Intensive Care Med. 24(1):40-47
    • (1998) Intensive Care Med. , vol.24 , Issue.1 , pp. 40-47
    • Moreno, R.1    Apolone, G.2    Miranda, D.R.3
  • 95
    • 0031947260 scopus 로고    scopus 로고
    • Predictive value of severity scoring systems: Comparison of four models in Tunisian adult intensive care units
    • Nouira S, Belghith M, Elatrous S, Jaafoura M, Ellouzi M, et al. 1998. Predictive value of severity scoring systems: comparison of four models in Tunisian adult intensive care units. Crit. Care Med. 26(5):852-59
    • (1998) Crit. Care Med. , vol.26 , Issue.5 , pp. 852-859
    • Nouira, S.1    Belghith, M.2    Elatrous, S.3    Jaafoura, M.4    Ellouzi, M.5
  • 96
    • 0032059467 scopus 로고    scopus 로고
    • APACHE II and SAPS II are poorly calibrated in a Hong Kong intensive care unit
    • Tan IK. 1998. APACHE II and SAPS II are poorly calibrated in a Hong Kong intensive care unit. Ann. Acad. Med. Singapore 27(3):318-22
    • (1998) Ann. Acad. Med. Singapore , vol.27 , Issue.3 , pp. 318-322
    • Tan, I.K.1
  • 97
    • 0032826574 scopus 로고    scopus 로고
    • Application of mortality prediction systems to individual intensive care units
    • Patel PA, Grant BJ. 1999. Application of mortality prediction systems to individual intensive care units. Intensive Care Med. 25(9):977-82
    • (1999) Intensive Care Med. , vol.25 , Issue.9 , pp. 977-982
    • Patel, P.A.1    Grant, B.J.2
  • 98
    • 0032791088 scopus 로고    scopus 로고
    • Prediction of outcome in intensive care unit trauma patients: A multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system
    • Vassar MJ, Lewis FR Jr, Chambers JA, Mullins RJ, O'Brien PE, et al. 1999. Prediction of outcome in intensive care unit trauma patients: a multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system. J. Trauma-Injury Infection Crit. Care 47(2):324-29
    • (1999) J. Trauma-Injury Infection Crit. Care , vol.47 , Issue.2 , pp. 324-329
    • Vassar, M.J.1    Lewis Jr., F.R.2    Chambers, J.A.3    Mullins, R.J.4    O'Brien, P.E.5
  • 99
    • 0034051702 scopus 로고    scopus 로고
    • Comparison of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scoring systems in a single Greek intensive care unit
    • Katsaragakis S, Papadimitropoulos K, Antonakis P, Strergiopoulos S, Konstadoulakis MM, Androulakis G. 2000. Comparison of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scoring systems in a single Greek intensive care unit. Crit. Care Med. 28(2):426-32
    • (2000) Crit. Care Med. , vol.28 , Issue.2 , pp. 426-432
    • Katsaragakis, S.1    Papadimitropoulos, K.2    Antonakis, P.3    Strergiopoulos, S.4    Konstadoulakis, M.M.5    Androulakis, G.6
  • 100
    • 0033918546 scopus 로고    scopus 로고
    • Assessment of the performance of five intensive care scoring models within a large Scottish database
    • Livingston BM, MacKirdy FN, Howie JC, Jones R, Norrie JD. 2000. Assessment of the performance of five intensive care scoring models within a large Scottish database. Crit. Care Med. 28(6):1820-27
    • (2000) Crit. Care Med. , vol.28 , Issue.6 , pp. 1820-1827
    • Livingston, B.M.1    MacKirdy, F.N.2    Howie, J.C.3    Jones, R.4    Norrie, J.D.5
  • 101
    • 0034536947 scopus 로고    scopus 로고
    • Validation of severity scoring systems SAPS II and APACHE II in a single-center population
    • Capuzzo M, Valpondi V, Sgarbi A, Bortolazzi S, Pavoni V, et al. 2000. Validation of severity scoring systems SAPS II and APACHE II in a single-center population. Intensive Care Med. 26(12):1779-85
    • (2000) Intensive Care Med. , vol.26 , Issue.12 , pp. 1779-1785
    • Capuzzo, M.1    Valpondi, V.2    Sgarbi, A.3    Bortolazzi, S.4    Pavoni, V.5
  • 102
    • 0033953379 scopus 로고    scopus 로고
    • Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: A prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit
    • Markgraf R, Deutschinoff G, Pientka L, Scholten T. 2000. Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit. Crit. Care Med. 28(1):26-33
    • (2000) Crit. Care Med. , vol.28 , Issue.1 , pp. 26-33
    • Markgraf, R.1    Deutschinoff, G.2    Pientka, L.3    Scholten, T.4
  • 103
    • 0037304148 scopus 로고    scopus 로고
    • External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: A multicentre study
    • Beck DH, Smith GB, Pappachan JV, Millar B. 2003. External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study. Intensive Care Med. 29(2):249-56
    • (2003) Intensive Care Med. , vol.29 , Issue.2 , pp. 249-256
    • Beck, D.H.1    Smith, G.B.2    Pappachan, J.V.3    Millar, B.4
  • 104
    • 0024359224 scopus 로고
    • Prognosis of patients with AIDS requiring intensive care
    • Smith RL, Levine SM, Lewis ML. 1989. Prognosis of patients with AIDS requiring intensive care. Chest 96(4):857-61
    • (1989) Chest , vol.96 , Issue.4 , pp. 857-861
    • Smith, R.L.1    Levine, S.M.2    Lewis, M.L.3
  • 105
    • 0027418748 scopus 로고
    • Predicting survival in AIDS patients with respiratory failure. Application of the APACHE II scoring system
    • Chu DY. 1993. Predicting survival in AIDS patients with respiratory failure. Application of the APACHE II scoring system. Crit. Care Clin. 9(1):89-105
    • (1993) Crit. Care Clin. , vol.9 , Issue.1 , pp. 89-105
    • Chu, D.Y.1
  • 106
    • 0029017759 scopus 로고
    • On computers and building blocks, APACHE II and HIV, and dark clouds
    • Franklin C, Layon AJ. 1995. On computers and building blocks, APACHE II and HIV, and dark clouds. Crit. Care Med. 23(5):797-98
    • (1995) Crit. Care Med. , vol.23 , Issue.5 , pp. 797-798
    • Franklin, C.1    Layon, A.J.2
  • 107
    • 0025271106 scopus 로고
    • APACHE II score does not predict multiple organ failure or mortality in postoperative surgical patients
    • Cerra FB, Negro F, Abrams J. 1990. APACHE II score does not predict multiple organ failure or mortality in postoperative surgical patients. Arch. Surg. 125(4):519-22
    • (1990) Arch. Surg. , vol.125 , Issue.4 , pp. 519-522
    • Cerra, F.B.1    Negro, F.2    Abrams, J.3
  • 108
    • 0025127169 scopus 로고
    • A critical study of the APACHE II scoring system using earlier data collection
    • Waters M, Nightingale P, Edwards JD. 1990. A critical study of the APACHE II scoring system using earlier data collection. Arch. Emerg. Med. 7(1):16-20
    • (1990) Arch. Emerg. Med. , vol.7 , Issue.1 , pp. 16-20
    • Waters, M.1    Nightingale, P.2    Edwards, J.D.3
  • 109
    • 0026649934 scopus 로고
    • Comparison of APACHE II, TRISS, and a proposed 24-hour ICU point system for prediction of outcome in ICU trauma patients
    • discussion pp. 499-500
    • Vassar MJ, Wilkerson CL, Duran PJ, Perry CA, Holcroft JW. 1992. Comparison of APACHE II, TRISS, and a proposed 24-hour ICU point system for prediction of outcome in ICU trauma patients. J. Trauma-Injury Infection Crit. Care 32(4):490-99; discussion pp. 499-500
    • (1992) J. Trauma-Injury Infection Crit. Care , vol.32 , Issue.4 , pp. 490-499
    • Vassar, M.J.1    Wilkerson, C.L.2    Duran, P.J.3    Perry, C.A.4    Holcroft, J.W.5
  • 110
    • 0025170980 scopus 로고
    • Evaluation of APACHE II for cost containment and quality assurance
    • discussion pp. 274-66
    • Civetta JM, Hudson-Civetta JA, Nelson LD. 1990. Evaluation of APACHE II for cost containment and quality assurance. Ann. Surg. 212(3):266-274; discussion pp. 274-66
    • (1990) Ann. Surg. , vol.212 , Issue.3 , pp. 266-274
    • Civetta, J.M.1    Hudson-Civetta, J.A.2    Nelson, L.D.3
  • 111
    • 0034820458 scopus 로고    scopus 로고
    • Predicting mortality in patients suffering from prolonged critical illness: An assessment of four severity-of-illness measures
    • Carson SS, Bach PB. 2001. Predicting mortality in patients suffering from prolonged critical illness: an assessment of four severity-of-illness measures. Chest 120(3):928-33
    • (2001) Chest , vol.120 , Issue.3 , pp. 928-933
    • Carson, S.S.1    Bach, P.B.2
  • 112
    • 0025668442 scopus 로고
    • Assessment of prediction of mortality by using the APACHE II scoring system in intensive-care units
    • Marsh HM, Krishan I, Naessens JM, Strickland RA, Gracey DR, et al. 1990. Assessment of prediction of mortality by using the APACHE II scoring system in intensive-care units. Mayo Clinic Proc. 65(12):1549-57
    • (1990) Mayo Clinic Proc. , vol.65 , Issue.12 , pp. 1549-1557
    • Marsh, H.M.1    Krishan, I.2    Naessens, J.M.3    Strickland, R.A.4    Gracey, D.R.5
  • 113
    • 0029931147 scopus 로고    scopus 로고
    • The effect of casemix adjustment on mortality as predicted by APACHE II
    • Goldhill DR, Withington PS. 1996. The effect of casemix adjustment on mortality as predicted by APACHE II. Intensive Care Med. 22(5):415-19
    • (1996) Intensive Care Med. , vol.22 , Issue.5 , pp. 415-419
    • Goldhill, D.R.1    Withington, P.S.2
  • 114
    • 0026768729 scopus 로고
    • An initial comparison of intensive care in Japan and the United States
    • Sirio CA, Tajimi K, Tase C, Knaus WA, Wagner DP, et al. 1992. An initial comparison of intensive care in Japan and the United States. Crit. Care Med. 20(9):1207-15
    • (1992) Crit. Care Med. , vol.20 , Issue.9 , pp. 1207-1215
    • Sirio, C.A.1    Tajimi, K.2    Tase, C.3    Knaus, W.A.4    Wagner, D.P.5
  • 115
    • 0026442674 scopus 로고
    • Evaluation of the consistency of Acute Physiology and Chronic Health Evaluation (APACHE II) scoring in a surgical intensive care unit
    • Berger MM, Marazzi A, Freeman J, Chiolero R. 1992. Evaluation of the consistency of Acute Physiology and Chronic Health Evaluation (APACHE II) scoring in a surgical intensive care unit. Crit. Care Med. 20(12):1681-87
    • (1992) Crit. Care Med. , vol.20 , Issue.12 , pp. 1681-1687
    • Berger, M.M.1    Marazzi, A.2    Freeman, J.3    Chiolero, R.4
  • 116
    • 0027173544 scopus 로고
    • Verification of the Acute Physiology and Chronic Health Evaluation scoring system in a Hong Kong intensive care unit
    • Oh TE, Hutchinson R, Short S, Buckley T, Lin E, Leung D. 1993. Verification of the Acute Physiology and Chronic Health Evaluation scoring system in a Hong Kong intensive care unit. Crit. Care Med. 21(5):698-705
    • (1993) Crit. Care Med. , vol.21 , Issue.5 , pp. 698-705
    • Oh, T.E.1    Hutchinson, R.2    Short, S.3    Buckley, T.4    Lin, E.5    Leung, D.6
  • 118
    • 0030004502 scopus 로고    scopus 로고
    • Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization: A simulation study
    • Zhu BP, Lemeshow S, Hosmer DW, Klar J, Avrunin J, Teres D. 1996. Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization: a simulation study. Crit. Care Med. 24(1):57-63
    • (1996) Crit. Care Med. , vol.24 , Issue.1 , pp. 57-63
    • Zhu, B.P.1    Lemeshow, S.2    Hosmer, D.W.3    Klar, J.4    Avrunin, J.5    Teres, D.6
  • 119
    • 0029966839 scopus 로고    scopus 로고
    • Effect of changing patient mix on the performance of an intensive care unit severity-of-illness model: How to distinguish a general from a specialty intensive care unit
    • Murphy-Filkins R, Teres D, Lemeshow S, Hosmer DW. 1996. Effect of changing patient mix on the performance of an intensive care unit severity-of-illness model: how to distinguish a general from a specialty intensive care unit. Crit. Care Med. 24(12):1968-73
    • (1996) Crit. Care Med. , vol.24 , Issue.12 , pp. 1968-1973
    • Murphy-Filkins, R.1    Teres, D.2    Lemeshow, S.3    Hosmer, D.W.4
  • 120
    • 0023766164 scopus 로고
    • Prediction instruments and clinical judgment in critical care
    • Silverstein MD. 1988. Prediction instruments and clinical judgment in critical care. JAMA 260(12):1758-59
    • (1988) JAMA , vol.260 , Issue.12 , pp. 1758-1759
    • Silverstein, M.D.1
  • 121
    • 0028118884 scopus 로고
    • Errors and bias in using predictive scoring systems
    • Cowen JS, Kelley MA. 1994. Errors and bias in using predictive scoring systems. Crit. Care Clin. 10(1):53-72
    • (1994) Crit. Care Clin. , vol.10 , Issue.1 , pp. 53-72
    • Cowen, J.S.1    Kelley, M.A.2
  • 122
    • 0026541153 scopus 로고
    • Time-dependent error in the APACHE II scoring system
    • Sleigh JW, Brook RJ, Miller M. 1992. Time-dependent error in the APACHE II scoring system. Anaesth. Intensive Care 20(1):63-65
    • (1992) Anaesth. Intensive Care , vol.20 , Issue.1 , pp. 63-65
    • Sleigh, J.W.1    Brook, R.J.2    Miller, M.3
  • 123
    • 0026496502 scopus 로고
    • Prospective evaluation of residents and nurses as severity score data collectors
    • Holt AW, Bury LK, Bersten AD, Skowronski GA, Vedig AE. 1992. Prospective evaluation of residents and nurses as severity score data collectors. Crit. Care Med. 20(12):1688-91
    • (1992) Crit. Care Med. , vol.20 , Issue.12 , pp. 1688-1691
    • Holt, A.W.1    Bury, L.K.2    Bersten, A.D.3    Skowronski, G.A.4    Vedig, A.E.5
  • 124
    • 0034535305 scopus 로고    scopus 로고
    • Sampling rate causes bias in APACHE II and SAPS II scores
    • Suistomaa M, Kari A, Ruokonen E, Takala J. 2000. Sampling rate causes bias in APACHE II and SAPS II scores. Intensive Care Med. 26(12):1773-78
    • (2000) Intensive Care Med. , vol.26 , Issue.12 , pp. 1773-1778
    • Suistomaa, M.1    Kari, A.2    Ruokonen, E.3    Takala, J.4
  • 125
  • 127
    • 0034970122 scopus 로고    scopus 로고
    • Clinical decision support systems for intensive care units: Using artificial neural networks
    • Prize M, Ennett CM, Stevenson M, Trigg HC. 2001. Clinical decision support systems for intensive care units: using artificial neural networks. Med. Eng. Phys. 23(3):217-25
    • (2001) Med. Eng. Phys. , vol.23 , Issue.3 , pp. 217-225
    • Prize, M.1    Ennett, C.M.2    Stevenson, M.3    Trigg, H.C.4
  • 128
    • 0029871187 scopus 로고    scopus 로고
    • Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm
    • Dybowski R, Weller P, Chang R, Gant V. 1996. Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm. Lancet 347(9009):1146-50
    • (1996) Lancet , vol.347 , Issue.9009 , pp. 1146-1150
    • Dybowski, R.1    Weller, P.2    Chang, R.3    Gant, V.4
  • 129
    • 0027288642 scopus 로고
    • Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery
    • Tu JV, Guerriere MR. 1993. Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. Comput. Biomed. Res. 26(3):220-29
    • (1993) Comput. Biomed. Res. , vol.26 , Issue.3 , pp. 220-229
    • Tu, J.V.1    Guerriere, M.R.2
  • 130
    • 0034567340 scopus 로고    scopus 로고
    • Predicting ICU mortality: A comparison of stationary and nonstationary temporal models
    • Kayaalp M, Cooper GF, Clermont G. 2000. Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. Proc. AMIA Symp. 2000:418-22
    • (2000) Proc. AMIA Symp. , vol.2000 , pp. 418-422
    • Kayaalp, M.1    Cooper, G.F.2    Clermont, G.3
  • 131
    • 0025522083 scopus 로고
    • An expert system for the nutritional management of the critically ill
    • Fraser RB, Turney SZ. 1990. An expert system for the nutritional management of the critically ill. Comput. Methods Programs Biomed. 33(3):175-80
    • (1990) Comput. Methods Programs Biomed. , vol.33 , Issue.3 , pp. 175-180
    • Fraser, R.B.1    Turney, S.Z.2
  • 132
    • 0035113477 scopus 로고    scopus 로고
    • Artificial intelligence applications in the intensive care unit
    • Hanson CW 3rd, Marshall BE. 2001. Artificial intelligence applications in the intensive care unit. Crit. Care Med. 29(2):427-35
    • (2001) Crit. Care Med. , vol.29 , Issue.2 , pp. 427-435
    • Hanson III, C.W.1    Marshall, B.E.2
  • 133
    • 0025932568 scopus 로고
    • Neural networks: What are they?
    • Guerriere MR, Detsky AS. 1991. Neural networks: what are they? Ann. Intent. Med. 115(11):906-7
    • (1991) Ann. Intent. Med. , vol.115 , Issue.11 , pp. 906-907
    • Guerriere, M.R.1    Detsky, A.S.2
  • 134
    • 0032146619 scopus 로고    scopus 로고
    • Understanding artificial neural networks and exploring their potential applications for the practicing urologist
    • Wei JT, Zhang Z, Barnhill SD, Madyastha KR, Zhang H, Oesterling JE. 1998. Understanding artificial neural networks and exploring their potential applications for the practicing urologist. Urology 52(2):161-72
    • (1998) Urology , vol.52 , Issue.2 , pp. 161-172
    • Wei, J.T.1    Zhang, Z.2    Barnhill, S.D.3    Madyastha, K.R.4    Zhang, H.5    Oesterling, J.E.6
  • 135
    • 0029840811 scopus 로고    scopus 로고
    • Neural networks in clinical medicine
    • Penny W, Frost D. 1996. Neural networks in clinical medicine. Med. Decis. Making 16(4):386-98
    • (1996) Med. Decis. Making , vol.16 , Issue.4 , pp. 386-398
    • Penny, W.1    Frost, D.2
  • 136
    • 0035400101 scopus 로고    scopus 로고
    • Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention
    • Resnic FS, Ohno-Machado L, Selwyn A, Simon DI, PopmaJJ. 2001. Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention. Am. J. Cardiol. 88(1):5-9
    • (2001) Am. J. Cardiol. , vol.88 , Issue.1 , pp. 5-9
    • Resnic, F.S.1    Ohno-Machado, L.2    Selwyn, A.3    Simon, D.I.4    Popma, J.J.5
  • 137
    • 0032732069 scopus 로고    scopus 로고
    • A comparison of ICU mortality prediction using the APACHE II scoring system and artificial neural networks
    • Wong LS, Young JD. 1999. A comparison of ICU mortality prediction using the APACHE II scoring system and artificial neural networks. Anaesthesia 54(11):1048-54
    • (1999) Anaesthesia , vol.54 , Issue.11 , pp. 1048-1054
    • Wong, L.S.1    Young, J.D.2
  • 138
    • 0035116142 scopus 로고    scopus 로고
    • Predicting hospital mortality for patients in the intensive care unit: A comparison of artificial neural networks with logistic regression models
    • Clermont G, Angus DC, DiRusso SM, Griffin M, Linde-Zwirble WT. 2001. Predicting hospital mortality for patients in the intensive care unit: a comparison of artificial neural networks with logistic regression models. Crit. Care Med. 29(2):291-96
    • (2001) Crit. Care Med. , vol.29 , Issue.2 , pp. 291-296
    • Clermont, G.1    Angus, D.C.2    Dirusso, S.M.3    Griffin, M.4    Linde-Zwirble, W.T.5
  • 139
    • 1342310793 scopus 로고    scopus 로고
    • Prediction of mortality in an Indian intensive care unit. Comparison between APACHE II and artificial neural networks
    • Nimgaonkar A, Karnad DR, Sudarshan S, Ohno-Machado L, Kohane I. 2004. Prediction of mortality in an Indian intensive care unit. Comparison between APACHE II and artificial neural networks. Intensive Care Med. 30(2):248-53
    • (2004) Intensive Care Med. , vol.30 , Issue.2 , pp. 248-253
    • Nimgaonkar, A.1    Karnad, D.R.2    Sudarshan, S.3    Ohno-Machado, L.4    Kohane, I.5
  • 140
    • 85044699317 scopus 로고    scopus 로고
    • Comparison of proportional hazard model and neural network models in a real data set of intensive care unit patients
    • Suka M, Oeda S, Ichimura T, Yoshida K, Takezawa J. 2004. Comparison of proportional hazard model and neural network models in a real data set of intensive care unit patients. Medinfo 11(Pt. 1):741-45
    • (2004) Medinfo , vol.11 , Issue.PART 1 , pp. 741-745
    • Suka, M.1    Oeda, S.2    Ichimura, T.3    Yoshida, K.4    Takezawa, J.5
  • 141
    • 0030938915 scopus 로고    scopus 로고
    • A comparison of Cox proportional hazards and artificial neural network models for medical prognosis
    • Ohno-Machado L. 1997. A comparison of Cox proportional hazards and artificial neural network models for medical prognosis. Comput. Biol. Med. 27(1):55-65
    • (1997) Comput. Biol. Med. , vol.27 , Issue.1 , pp. 55-65
    • Ohno-Machado, L.1
  • 142
    • 0035551937 scopus 로고    scopus 로고
    • Modeling medical prognosis: Survival analysis techniques
    • Ohno-Machado L. 2001. Modeling medical prognosis: survival analysis techniques. J. Biomed. Inform. 34(6):428-39
    • (2001) J. Biomed. Inform. , vol.34 , Issue.6 , pp. 428-439
    • Ohno-Machado, L.1
  • 143
    • 0030333384 scopus 로고    scopus 로고
    • Sequential use of neural networks for survival prediction in AIDS
    • Ohno-Machado L. 1996. Sequential use of neural networks for survival prediction in AIDS. Proc. AMIA Annu. Fall. Symp. 1996:170-74
    • (1996) Proc. AMIA Annu. Fall. Symp. , vol.1996 , pp. 170-174
    • Ohno-Machado, L.1
  • 144
    • 0031193620 scopus 로고    scopus 로고
    • Sequential versus standard neural networks for pattern recognition: An example using the domain of coronary heart disease
    • Ohno-Machado L, Musen MA. 1997. Sequential versus standard neural networks for pattern recognition: an example using the domain of coronary heart disease. Comput. Biol. Med. 27(4):267-81
    • (1997) Comput. Biol. Med. , vol.27 , Issue.4 , pp. 267-281
    • Ohno-Machado, L.1    Musen, M.A.2
  • 145
    • 0042626512 scopus 로고    scopus 로고
    • Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions
    • Paetz J. 2003. Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. Artif. Intell. Med. 28(2):207-30
    • (2003) Artif. Intell. Med. , vol.28 , Issue.2 , pp. 207-230
    • Paetz, J.1
  • 146
    • 0033787803 scopus 로고    scopus 로고
    • Evaluating the frequency rate of hypomagnesemia in critically ill pediatric patients by using multiple regression analysis and a computer-based neural network
    • Verive MJ, Irazuzta J, Steinhart CM, Orlowski JP, Jaimovich DG. 2000. Evaluating the frequency rate of hypomagnesemia in critically ill pediatric patients by using multiple regression analysis and a computer-based neural network. Crit. Care Med. 28(10):3534-39
    • (2000) Crit. Care Med. , vol.28 , Issue.10 , pp. 3534-3539
    • Verive, M.J.1    Irazuzta, J.2    Steinhart, C.M.3    Orlowski, J.P.4    Jaimovich, D.G.5
  • 147
    • 0030901141 scopus 로고    scopus 로고
    • Prediction of trauma mortality using a neural network
    • Izenberg SD, Williams MD, Luterman A. 1997. Prediction of trauma mortality using a neural network. Am. Surg. 63(3):275-81
    • (1997) Am. Surg. , vol.63 , Issue.3 , pp. 275-281
    • Izenberg, S.D.1    Williams, M.D.2    Luterman, A.3
  • 148
    • 0027733424 scopus 로고
    • Modeling mortality in the intensive care unit: Comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression
    • Doig GS, Inman KJ, Sibbald WJ, Martin CM, Robertson JM. 1993. Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression. Proc. Annu. Symp. Comput. Appl. Med. Care 1993:361-65
    • (1993) Proc. Annu. Symp. Comput. Appl. Med. Care , vol.1993 , pp. 361-365
    • Doig, G.S.1    Inman, K.J.2    Sibbald, W.J.3    Martin, C.M.4    Robertson, J.M.5
  • 149
    • 0028285351 scopus 로고
    • A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit
    • Buchman TG, Kubos KL, Seidler AJ, Siegforth MJ. 1994. A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit. Crit. Care Med. 22(5):750-62
    • (1994) Crit. Care Med. , vol.22 , Issue.5 , pp. 750-762
    • Buchman, T.G.1    Kubos, K.L.2    Seidler, A.J.3    Siegforth, M.J.4
  • 151
    • 0030297904 scopus 로고    scopus 로고
    • Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
    • Tu JV. 1996. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J. Clin. Epidemiol. 49(11):1225-31
    • (1996) J. Clin. Epidemiol. , vol.49 , Issue.11 , pp. 1225-1231
    • Tu, J.V.1
  • 152
    • 84862646391 scopus 로고    scopus 로고
    • Influence of missing values on artificial neural network performance
    • Ennett CM, Prize M, Walker CR. 2001. Influence of missing values on artificial neural network performance. Medinfo 10(Pt. 1):449-53
    • (2001) Medinfo , vol.10 , Issue.PART 1 , pp. 449-453
    • Ennett, C.M.1    Prize, M.2    Walker, C.R.3
  • 153
    • 0034235303 scopus 로고    scopus 로고
    • A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU
    • Lucas PJ, de Bruijn NC, Schurink K, Hoepelman A. 2000. A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif. Intell. Med. 19(3):251-79
    • (2000) Artif. Intell. Med. , vol.19 , Issue.3 , pp. 251-279
    • Lucas, P.J.1    De Bruijn, N.C.2    Schurink, K.3    Hoepelman, A.4
  • 154
    • 0035019648 scopus 로고    scopus 로고
    • Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data
    • Sierra B, Serrano N, Larranaga P, Plasencia EJ, Inza I, et al. 2001. Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. Artif. Intell. Med. 22(3):233-48
    • (2001) Artif. Intell. Med. , vol.22 , Issue.3 , pp. 233-248
    • Sierra, B.1    Serrano, N.2    Larranaga, P.3    Plasencia, E.J.4    Inza, I.5
  • 155
    • 0042836888 scopus 로고    scopus 로고
    • Integrating classification trees with local logistic regression in Intensive Care prognosis
    • Abu-Hanna A, de Keizer N. 2003. Integrating classification trees with local logistic regression in Intensive Care prognosis. Artif. Intell. Med. 29(1-2):5-23
    • (2003) Artif. Intell. Med. , vol.29 , Issue.1-2 , pp. 5-23
    • Abu-Hanna, A.1    De Keizer, N.2
  • 156
    • 0019495499 scopus 로고
    • Prognosis, survival, and the expenditure of hospital resources for patients in an intensive-care unit
    • Detsky AS, Stricker SC, Mulley AG, Thibault GE. 1981. Prognosis, survival, and the expenditure of hospital resources for patients in an intensive-care unit. N. Engl. J. Med. 305(12):667-72
    • (1981) N. Engl. J. Med. , vol.305 , Issue.12 , pp. 667-672
    • Detsky, A.S.1    Stricker, S.C.2    Mulley, A.G.3    Thibault, G.E.4
  • 158
    • 0024395065 scopus 로고
    • The answer to "What are my chances, doctor?" depends on whom is asked: Prognostic disagreement and inaccuracy for critically ill patients
    • Poses RM, Bekes C, Copare FJ, Scott WE. 1989. The answer to "What are my chances, doctor?" depends on whom is asked: prognostic disagreement and inaccuracy for critically ill patients. Crit. Care Med. 17(8):827-33
    • (1989) Crit. Care Med. , vol.17 , Issue.8 , pp. 827-833
    • Poses, R.M.1    Bekes, C.2    Copare, F.J.3    Scott, W.E.4
  • 159
    • 0024981793 scopus 로고
    • Clinical versus actuarial judgment
    • Dawes RM, Faust D, Meehl PE. 1989. Clinical versus actuarial judgment. Science 243(4899):1668-74
    • (1989) Science , vol.243 , Issue.4899 , pp. 1668-1674
    • Dawes, R.M.1    Faust, D.2    Meehl, P.E.3
  • 161
    • 0023337320 scopus 로고
    • Systematic errors in medical decision making: Judgment limitations
    • Dawson NV, Arkes HR. 1987. Systematic errors in medical decision making: judgment limitations. J. Gen. Intern. Med. 2(3):183-87
    • (1987) J. Gen. Intern. Med. , vol.2 , Issue.3 , pp. 183-187
    • Dawson, N.V.1    Arkes, H.R.2
  • 162
    • 0023810574 scopus 로고
    • Comparison of clinical assessment with APACHE II for predicting mortality risk in patients admitted to a medical intensive care unit
    • Kruse JA, Thill-Baharozian MC, Carlson RW. 1988. Comparison of clinical assessment with APACHE II for predicting mortality risk in patients admitted to a medical intensive care unit. JAMA 260(12):1739-42
    • (1988) JAMA , vol.260 , Issue.12 , pp. 1739-1742
    • Kruse, J.A.1    Thill-Baharozian, M.C.2    Carlson, R.W.3
  • 163
    • 0024554734 scopus 로고
    • How well can physicians estimate mortality in a medical intensive care unit?
    • McClish DK, Powell SH. 1989. How well can physicians estimate mortality in a medical intensive care unit? Med. Decis. Making 9(2):125-32
    • (1989) Med. Decis. Making , vol.9 , Issue.2 , pp. 125-132
    • McClish, D.K.1    Powell, S.H.2
  • 164
    • 0026689321 scopus 로고
    • Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients
    • discussion pp. 753-44
    • Meyer AA, Messick WJ, Young P, Baker CC, Fakhry S, et al. 1992. Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients. J. Trauma-Injury Infection Crit. Care 32(6):747-53; discussion pp. 753-44
    • (1992) J. Trauma-Injury Infection Crit. Care , vol.32 , Issue.6 , pp. 747-753
    • Meyer, A.A.1    Messick, W.J.2    Young, P.3    Baker, C.C.4    Fakhry, S.5
  • 165
    • 0027728265 scopus 로고
    • Forecasting survival in the medical intensive care unit: A comparison of clinical prognoses with formal estimates
    • Christensen C, Cottrell JJ, Murakami J, Mackesy ME, Fetzer AS, Elstein AS. 1993. Forecasting survival in the medical intensive care unit: a comparison of clinical prognoses with formal estimates. Methods Inf. Med. 32(4):302-8
    • (1993) Methods Inf. Med. , vol.32 , Issue.4 , pp. 302-308
    • Christensen, C.1    Cottrell, J.J.2    Murakami, J.3    Mackesy, M.E.4    Fetzer, A.S.5    Elstein, A.S.6
  • 166
    • 0024416789 scopus 로고
    • Accuracy of decisions to withdraw therapy in critically ill patients: Clinical judgment versus a computer model
    • Chang RW, Lee B, Jacobs S, Lee B. 1989. Accuracy of decisions to withdraw therapy in critically ill patients: clinical judgment versus a computer model. Crit. Care Med. 17(11):1091-97
    • (1989) Crit. Care Med. , vol.17 , Issue.11 , pp. 1091-1097
    • Chang, R.W.1    Lee, B.2    Jacobs, S.3    Lee, B.4
  • 167
    • 0024588438 scopus 로고
    • Prediction of outcome from critical illness. A comparison of clinical judgment with a prediction rule
    • Brannen AL 2nd, Godfrey LJ, Goetter WE. 1989. Prediction of outcome from critical illness. A comparison of clinical judgment with a prediction rule. Arch. Intern Med. 149(5):1083-86
    • (1989) Arch. Intern Med. , vol.149 , Issue.5 , pp. 1083-1086
    • Brannen II, A.L.1    Godfrey, L.J.2    Goetter, W.E.3
  • 168
    • 0025898424 scopus 로고
    • Predicting outcome in intensive therapy units - A comparison of Apache II with subjective assessments
    • Marks RJ, Simons RS, Blizzard RA, Browne DR. 1991. Predicting outcome in intensive therapy units-a comparison of Apache II with subjective assessments. Intensive Care Med. 17(3):159-63
    • (1991) Intensive Care Med. , vol.17 , Issue.3 , pp. 159-163
    • Marks, R.J.1    Simons, R.S.2    Blizzard, R.A.3    Browne, D.R.4
  • 169
    • 0025161690 scopus 로고
    • Are two (inexperienced) heads better than one (experienced) head? Averaging house officers' prognostic judgments for critically ill patients
    • Poses RM, Bekes C, Winkler RL, Scott WE, Copare FJ. 1990. Are two (inexperienced) heads better than one (experienced) head? Averaging house officers' prognostic judgments for critically ill patients. Arch. Intern Med. 150(9):1874-78
    • (1990) Arch. Intern Med. , vol.150 , Issue.9 , pp. 1874-1878
    • Poses, R.M.1    Bekes, C.2    Winkler, R.L.3    Scott, W.E.4    Copare, F.J.5
  • 170
    • 0033847651 scopus 로고    scopus 로고
    • Combining physician's subjective and physiology-based objective mortality risk predictions
    • Marcin JP, Pollack MM, Patel KM, Ruttimann UE. 2000. Combining physician's subjective and physiology-based objective mortality risk predictions. Crit. Care Med. 28(8):2984-90
    • (2000) Crit. Care Med. , vol.28 , Issue.8 , pp. 2984-2990
    • Marcin, J.P.1    Pollack, M.M.2    Patel, K.M.3    Ruttimann, U.E.4
  • 171
    • 0034109063 scopus 로고    scopus 로고
    • Assessing data elements in a severity scoring system
    • Teres D, Pekow P. 2000. Assessing data elements in a severity scoring system. Intensive Care Med. 26(3):263-64
    • (2000) Intensive Care Med. , vol.26 , Issue.3 , pp. 263-264
    • Teres, D.1    Pekow, P.2
  • 172
    • 0032742728 scopus 로고    scopus 로고
    • Technology introduction in critical care: Just knowing the price is not enough!
    • Halpern NA, Pastores SM. 1999. Technology introduction in critical care: just knowing the price is not enough! Chest 116(4):1092-99
    • (1999) Chest , vol.116 , Issue.4 , pp. 1092-1099
    • Halpern, N.A.1    Pastores, S.M.2
  • 173
    • 0025204255 scopus 로고
    • Computers in critical care: Opportunities and challenges
    • Dasta JF. 1990. Computers in critical care: opportunities and challenges. DICP 24(11):1084-92
    • (1990) DICP , vol.24 , Issue.11 , pp. 1084-1092
    • Dasta, J.F.1
  • 174
    • 0031312489 scopus 로고    scopus 로고
    • Clinical-HINTS: Integrated intelligent ICU patient monitoring and information management system
    • Kalogeropoulos D, Carson ER, Collinson PO. 1997. Clinical-HINTS: integrated intelligent ICU patient monitoring and information management system. Stud. Health Technol. Inform. 43(Pt. B):906-10
    • (1997) Stud. Health Technol. Inform. , vol.43 , pp. 906-910
    • Kalogeropoulos, D.1    Carson, E.R.2    Collinson, P.O.3
  • 175
    • 0031958281 scopus 로고    scopus 로고
    • An integrated approach for a knowledge-based clinical workstation: Architecture and experience
    • Brigl B, Ringleb P, Steiner T, Knaup P, Hacke W, Haux R. 1998. An integrated approach for a knowledge-based clinical workstation: architecture and experience. Methods Inf. Med. 37(1):16-25
    • (1998) Methods Inf. Med. , vol.37 , Issue.1 , pp. 16-25
    • Brigl, B.1    Ringleb, P.2    Steiner, T.3    Knaup, P.4    Hacke, W.5    Haux, R.6
  • 176
    • 0033753247 scopus 로고    scopus 로고
    • The future of bedside monitoring
    • Kohli-Seth R, Oropello JM. 2000. The future of bedside monitoring. Crit. Care Clin. 16(4):557-78
    • (2000) Crit. Care Clin. , vol.16 , Issue.4 , pp. 557-578
    • Kohli-Seth, R.1    Oropello, J.M.2
  • 177
    • 0034517849 scopus 로고    scopus 로고
    • Intensive care unit telemedicine: Alternate paradigm for providing continuous intensivist care
    • Rosenfeld BA, Dorman T, Breslow MJ, Pronovost P, Jenckes M, et al. 2000. Intensive care unit telemedicine: alternate paradigm for providing continuous intensivist care. Crit. Care Med. 28(12):3925-31
    • (2000) Crit. Care Med. , vol.28 , Issue.12 , pp. 3925-3931
    • Rosenfeld, B.A.1    Dorman, T.2    Breslow, M.J.3    Pronovost, P.4    Jenckes, M.5
  • 178
    • 1642492914 scopus 로고    scopus 로고
    • Effect of a multiple-site intensive care unit telemedicine program on clinical and economic outcomes: An alternative paradigm for intensivist staffing
    • Breslow MJ, Rosenfeld BA, Doerfler M, Burke G, Yates G, et al. 2004. Effect of a multiple-site intensive care unit telemedicine program on clinical and economic outcomes: an alternative paradigm for intensivist staffing. Crit. Care Med. 32(1):31-38.
    • (2004) Crit. Care Med. , vol.32 , Issue.1 , pp. 31-38
    • Breslow, M.J.1    Rosenfeld, B.A.2    Doerfler, M.3    Burke, G.4    Yates, G.5
  • 179
    • 3142743729 scopus 로고    scopus 로고
    • Erratum
    • Erratum. 2004. Crit Care Med. 32(7):1632
    • (2004) Crit Care Med. , vol.32 , Issue.7 , pp. 1632
  • 180
    • 0034104226 scopus 로고    scopus 로고
    • Developing and implementing computerized protocols for standardization of clinical decisions
    • Morris AH. 2000. Developing and implementing computerized protocols for standardization of clinical decisions. Ann. Intern. Med. 132(5):373-83
    • (2000) Ann. Intern. Med. , vol.132 , Issue.5 , pp. 373-383
    • Morris, A.H.1
  • 182
    • 0033257291 scopus 로고    scopus 로고
    • Efficacy of computerized decision support for mechanical ventilation: Results of a prospective multi-center randomized trial
    • East TD, Heermann LK, Bradshaw RL, Lugo A, Sailors RM, et al. 1999. Efficacy of computerized decision support for mechanical ventilation: results of a prospective multi-center randomized trial. Proc. AMIA Symp. 1999:251-55
    • (1999) Proc. AMIA Symp. , vol.1999 , pp. 251-255
    • East, T.D.1    Heermann, L.K.2    Bradshaw, R.L.3    Lugo, A.4    Sailors, R.M.5
  • 183
    • 0029857731 scopus 로고    scopus 로고
    • Current status of mechanical ventilation decision support systems: A review
    • Rudowski R, East TD, Gardner RM. 1996. Current status of mechanical ventilation decision support systems: a review. Int. J. Clin. Monit. Comput. 13(3):157-66
    • (1996) Int. J. Clin. Monit. Comput. , vol.13 , Issue.3 , pp. 157-166
    • Rudowski, R.1    East, T.D.2    Gardner, R.M.3
  • 184
    • 0031253776 scopus 로고    scopus 로고
    • Decision support in the operating theatre and intensive care: A personal view
    • Hunter J. 1997. Decision support in the operating theatre and intensive care: a personal view. Artif. Intell. Med. 11(2):93-96
    • (1997) Artif. Intell. Med. , vol.11 , Issue.2 , pp. 93-96
    • Hunter, J.1
  • 185
    • 0029447651 scopus 로고
    • Computer-assisted decision support systems for patient management in an intensive care unit
    • Prize M, Solven FG, Stevenson M, Nickerson B, Buskard T, Taylor K. 1995. Computer-assisted decision support systems for patient management in an intensive care unit. Medinfo 8(Pt. 2):1009-12
    • (1995) Medinfo , vol.8 , Issue.PART 2 , pp. 1009-1012
    • Prize, M.1    Solven, F.G.2    Stevenson, M.3    Nickerson, B.4    Buskard, T.5    Taylor, K.6
  • 186
    • 0024400716 scopus 로고
    • Systems for scoring severity of illness in intensive care
    • Turner JS, Potgieter PD, Linton DM. 1989. Systems for scoring severity of illness in intensive care. S. Afr. Med. J. 76(1):17-20
    • (1989) S. Afr. Med. J. , vol.76 , Issue.1 , pp. 17-20
    • Turner, J.S.1    Potgieter, P.D.2    Linton, D.M.3
  • 187
    • 0024360860 scopus 로고
    • Intensive care unit survival of patients with systemic illness
    • Raffin TA. 1989. Intensive care unit survival of patients with systemic illness. Am. Rev. Respir. Dis. 140(2 Pt. 2):S28-35
    • (1989) Am. Rev. Respir. Dis. , vol.140 , Issue.2 PART 2
    • Raffin, T.A.1
  • 188
    • 0024379455 scopus 로고
    • Effect on ICU mortality of a full-time critical care specialist
    • Brown JJ, Sullivan G. 1989. Effect on ICU mortality of a full-time critical care specialist. Chest 96(1):127-29
    • (1989) Chest , vol.96 , Issue.1 , pp. 127-129
    • Brown, J.J.1    Sullivan, G.2
  • 189
    • 0022518176 scopus 로고
    • Stratification of prognosis in granulocytopenic patients with hematologic malignancies using the APACHE-II severity of illness score
    • Johnson MH, Gordon PW, Fitzgerald FT. 1986. Stratification of prognosis in granulocytopenic patients with hematologic malignancies using the APACHE-II severity of illness score. Crit. Care Med. 14(8):693-97
    • (1986) Crit. Care Med. , vol.14 , Issue.8 , pp. 693-697
    • Johnson, M.H.1    Gordon, P.W.2    Fitzgerald, F.T.3
  • 191
    • 0026356932 scopus 로고
    • Elective intrahospital admissions versus acute interhospital transfers to a surgical intensive care unit: Cost and outcome prediction
    • discussion pp. 918-19
    • Borlase BC, Baxter JK, Kenney PR, Forse RA, Benotti PN, Blackburn GL. 1991. Elective intrahospital admissions versus acute interhospital transfers to a surgical intensive care unit: cost and outcome prediction. J. Trauma-Injury Infection Crit. Care 31(7):915-18; discussion pp. 918-19
    • (1991) J. Trauma-Injury Infection Crit. Care , vol.31 , Issue.7 , pp. 915-918
    • Borlase, B.C.1    Baxter, J.K.2    Kenney, P.R.3    Forse, R.A.4    Benotti, P.N.5    Blackburn, G.L.6
  • 192
    • 0027981268 scopus 로고
    • Use of daily Acute Physiology and Chronic Health Evaluation (APACHE) II scores to predict individual patient survival rate
    • Rogers J, Fuller HD. 1994. Use of daily Acute Physiology and Chronic Health Evaluation (APACHE) II scores to predict individual patient survival rate. Crit. Care Med. 22(9):1402-5
    • (1994) Crit. Care Med. , vol.22 , Issue.9 , pp. 1402-1405
    • Rogers, J.1    Fuller, H.D.2
  • 193
    • 0029154890 scopus 로고
    • Outcome prediction for individual intensive care patients: Useful, misused, or abused?
    • Lemeshow S, Klar J, Teres D. 1995. Outcome prediction for individual intensive care patients: useful, misused, or abused? Intensive Care Med. 21(9):770-76
    • (1995) Intensive Care Med. , vol.21 , Issue.9 , pp. 770-776
    • Lemeshow, S.1    Klar, J.2    Teres, D.3
  • 194
    • 0022645989 scopus 로고
    • An evaluation of outcome from intensive care in major medical centers
    • Knaus WA, Draper EA, Wagner DP, Zimmerman JE. 1986. An evaluation of outcome from intensive care in major medical centers. Ann. Intern. Med. 104(3):410-18
    • (1986) Ann. Intern. Med. , vol.104 , Issue.3 , pp. 410-418
    • Knaus, W.A.1    Draper, E.A.2    Wagner, D.P.3    Zimmerman, J.E.4
  • 195
    • 0023753185 scopus 로고
    • Audit of intensive care: A 30 month experience using the Apache II severity of disease classification system
    • Jacobs S, Chang RW, Lee B, Lee B. 1988. Audit of intensive care: a 30 month experience using the Apache II severity of disease classification system. Intensive Care Med. 14(5):567-74
    • (1988) Intensive Care Med. , vol.14 , Issue.5 , pp. 567-574
    • Jacobs, S.1    Chang, R.W.2    Lee, B.3    Lee, B.4
  • 196
    • 0023701636 scopus 로고
    • Use of APACHE II classification to evaluate outcome of patients receiving hemodialysis in an intensive care unit
    • Dobkin JE, Cutler RE. 1988. Use of APACHE II classification to evaluate outcome of patients receiving hemodialysis in an intensive care unit. West. J. Med. 149(5):547-50
    • (1988) West. J. Med. , vol.149 , Issue.5 , pp. 547-550
    • Dobkin, J.E.1    Cutler, R.E.2
  • 197
    • 0024401528 scopus 로고
    • Identifying ICU patients who would not benefit from total parenteral nutrition
    • Chang RW, Lee B, Jacobs S. 1989. Identifying ICU patients who would not benefit from total parenteral nutrition. JPEN J. Parenter. Enteral. Nutr. 13(5):535-38
    • (1989) JPEN J. Parenter. Enteral. Nutr. , vol.13 , Issue.5 , pp. 535-538
    • Chang, R.W.1    Lee, B.2    Jacobs, S.3
  • 198
    • 0022978567 scopus 로고
    • Assessing illness severity and outcome in critically ill patients
    • Oye RK, Bellamy PE. 1986. Assessing illness severity and outcome in critically ill patients. Emerg. Med. Clin. North. Am. 4(4):623-33
    • (1986) Emerg. Med. Clin. North. Am. , vol.4 , Issue.4 , pp. 623-633
    • Oye, R.K.1    Bellamy, P.E.2
  • 199
    • 0025806534 scopus 로고
    • Predicting outcome in critical care: The current status of the APACHE prognostic scoring system
    • Wong DT, Knaus WA. 1991. Predicting outcome in critical care: the current status of the APACHE prognostic scoring system. Can. J. Anaesth. 38(3):374-83
    • (1991) Can. J. Anaesth. , vol.38 , Issue.3 , pp. 374-383
    • Wong, D.T.1    Knaus, W.A.2
  • 200
    • 0027603186 scopus 로고
    • Critical care medicine - A review of the outcome prediction in critical care
    • Chen FG, Khoo ST. 1993. Critical care medicine-a review of the outcome prediction in critical care. Ann. Acad. Med. Singapore 22(3):360-64
    • (1993) Ann. Acad. Med. Singapore , vol.22 , Issue.3 , pp. 360-364
    • Chen, F.G.1    Khoo, S.T.2
  • 201
    • 0028011058 scopus 로고
    • The case for using objective scoring systems to predict intensive care unit outcome
    • discussion pp. 91-72
    • Watts CM, Knaus WA. 1994. The case for using objective scoring systems to predict intensive care unit outcome. Crit. Care Clin. 10(1):73-89; discussion pp. 91-72
    • (1994) Crit. Care Clin. , vol.10 , Issue.1 , pp. 73-89
    • Watts, C.M.1    Knaus, W.A.2
  • 202
    • 0030017293 scopus 로고    scopus 로고
    • ICU scoring systems allow prediction of patient outcomes and comparison of ICU performance
    • Becker RB, Zimmerman JE. 1996. ICU scoring systems allow prediction of patient outcomes and comparison of ICU performance. Crit. Care Clin. 12(3):503-14
    • (1996) Crit. Care Clin. , vol.12 , Issue.3 , pp. 503-514
    • Becker, R.B.1    Zimmerman, J.E.2
  • 203
    • 0030017116 scopus 로고    scopus 로고
    • ICU scoring systems do not allow prediction of patient outcomes or comparison of ICU performance
    • Sherck JP, Shatney CH. 1996. ICU scoring systems do not allow prediction of patient outcomes or comparison of ICU performance. Crit. Care Clin. 12(3):515-23
    • (1996) Crit. Care Clin. , vol.12 , Issue.3 , pp. 515-523
    • Sherck, J.P.1    Shatney, C.H.2
  • 204
    • 0032061995 scopus 로고    scopus 로고
    • Severity scoring systems in the modern intensive care unit
    • Clermont G, Angus DC. 1998. Severity scoring systems in the modern intensive care unit. Ann. Acad. Med. Singapore 27(3):397-403
    • (1998) Ann. Acad. Med. Singapore , vol.27 , Issue.3 , pp. 397-403
    • Clermont, G.1    Angus, D.C.2
  • 205
    • 0031723075 scopus 로고    scopus 로고
    • Severity of illness scoring systems and performance appraisal
    • Ridley S. 1998. Severity of illness scoring systems and performance appraisal. Anaesthesia 51(12):1185-94
    • (1998) Anaesthesia , vol.51 , Issue.12 , pp. 1185-1194
    • Ridley, S.1
  • 206
    • 0033060751 scopus 로고    scopus 로고
    • Risk scoring in surgical patients
    • Jones HJ, de Cossart L. 1999. Risk scoring in surgical patients. Br. J. Surg. 86(2):149-57
    • (1999) Br. J. Surg. , vol.86 , Issue.2 , pp. 149-157
    • Jones, H.J.1    De Cossart, L.2
  • 207
    • 0033913048 scopus 로고    scopus 로고
    • From severity scores to health gain-a difficult road but one worth traveling
    • Mackenzie S, Kendrick S, Howie JC. 2000. From severity scores to health gain-a difficult road but one worth traveling. Curr. Opin. Crit. Care 6:181-86
    • (2000) Curr. Opin. Crit. Care , vol.6 , pp. 181-186
    • Mackenzie, S.1    Kendrick, S.2    Howie, J.C.3
  • 208
    • 0033913504 scopus 로고    scopus 로고
    • Does it fit? Is it good? Assessment of scoring systems
    • Mourouga P, Goldfrad C, Rowan K. 2000. Does It Fit? Is It Good? Assessment of Scoring Systems. Curr. Opin. Crit. Care 6:176-80
    • (2000) Curr. Opin. Crit. Care , vol.6 , pp. 176-180
    • Mourouga, P.1    Goldfrad, C.2    Rowan, K.3
  • 209
    • 0033913498 scopus 로고    scopus 로고
    • The "New" scores: What problems have been fixed, and what remain?
    • Moreno R, Matos R. 2000. The "New" scores: what problems have been fixed, and what remain? Curr. Opin. Crit. Care 6:158-65
    • (2000) Curr. Opin. Crit. Care , vol.6 , pp. 158-165
    • Moreno, R.1    Matos, R.2
  • 210
    • 0036667408 scopus 로고    scopus 로고
    • Recent innovations in intensive care unit risk-prediction models
    • Rosenberg AL. 2002. Recent innovations in intensive care unit risk-prediction models. Curr. Opin. Crit. Care 8(4):321-30
    • (2002) Curr. Opin. Crit. Care , vol.8 , Issue.4 , pp. 321-330
    • Rosenberg, A.L.1
  • 211
    • 0345732103 scopus 로고    scopus 로고
    • Prognostication and intensive care unit outcome: The evolving role of scoring systems
    • Herridge MS. 2003. Prognostication and intensive care unit outcome: the evolving role of scoring systems. Clin. Chest Med. 24(4):751-62
    • (2003) Clin. Chest Med. , vol.24 , Issue.4 , pp. 751-762
    • Herridge, M.S.1


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