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Volumn 17, Issue 2, 1997, Pages 178-185

Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery

Author keywords

cardiac surgery; neural networks; predictive models

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; HEART SURGERY; MORTALITY; PREDICTION; PROGNOSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS; TREATMENT OUTCOME;

EID: 0030987793     PISSN: 0272989X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0272989X9701700208     Document Type: Article
Times cited : (57)

References (51)
  • 1
    • 0025824708 scopus 로고
    • A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting
    • O'Connor GT, Plume SK, Olmstead EM, et al. A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. JAMA. 1991;226:803-9.
    • (1991) JAMA , vol.226 , pp. 803-809
    • O'Connor, G.T.1    Plume, S.K.2    Olmstead, E.M.3
  • 2
    • 0019179851 scopus 로고
    • Multivariate discriminate analysis of the clinical and angiographic predictors of operative mortality from the Collaborative Study in Coronary Artery Surgery (CASS)
    • Kennedy JW, Kaiser GC, Fisher LD, et al. Multivariate discriminate analysis of the clinical and angiographic predictors of operative mortality from the Collaborative Study in Coronary Artery Surgery (CASS). J Thorac Cardiovasc Surg. 1980;80:876-87.
    • (1980) J Thorac Cardiovasc Surg , vol.80 , pp. 876-887
    • Kennedy, J.W.1    Kaiser, G.C.2    Fisher, L.D.3
  • 3
    • 0024393863 scopus 로고
    • A method for uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease
    • Parsonnet V, Dean D, Bernstein AD. A method for uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. Circulation. 1989;79(suppl I): 13-112.
    • (1989) Circulation , vol.79 , Issue.SUPPL. I , pp. 13-112
    • Parsonnet, V.1    Dean, D.2    Bernstein, A.D.3
  • 4
    • 0026519435 scopus 로고
    • Stratification of morbidity and mortality outcome by preoperative risk factors in coronary artery bypass patients: A clinical severity score
    • Higgins TL, Estafanous FG, Loop FD, et al. Stratification of morbidity and mortality outcome by preoperative risk factors in coronary artery bypass patients: a clinical severity score. JAMA. 1992;267:2344-8.
    • (1992) JAMA , vol.267 , pp. 2344-2348
    • Higgins, T.L.1    Estafanous, F.G.2    Loop, F.D.3
  • 5
    • 0026734678 scopus 로고
    • Multivariate prediction of in-hospital mortality associated with coronary artery bypass graft surgery
    • O'Connor GT, Plume SK, Olmstead EM, et al. Multivariate prediction of in-hospital mortality associated with coronary artery bypass graft surgery. Circulation. 1992;85:2110-8.
    • (1992) Circulation , vol.85 , pp. 2110-2118
    • O'Connor, G.T.1    Plume, S.K.2    Olmstead, E.M.3
  • 6
    • 84942384006 scopus 로고
    • Improving the outcomes of coronary artery bypass surgery in New York State
    • Hannan EL, Kilburn H Jr, Racz M, Shields EP, Chassin MR. Improving the outcomes of coronary artery bypass surgery in New York State. JAMA. 1994;271:761-6.
    • (1994) JAMA , vol.271 , pp. 761-766
    • Hannan, E.L.1    Kilburn Jr., H.2    Racz, M.3    Shields, E.P.4    Chassin, M.R.5
  • 7
    • 0027982998 scopus 로고
    • Coronary artery bypass grafting: The Society of Thoracic Surgeons National Database experience
    • Edwards FH, Clark RE, Schwartz M. Coronary artery bypass grafting: the Society of Thoracic Surgeons National Database experience. Ann Thorac Surg. 1994;57:12-9.
    • (1994) Ann Thorac Surg , vol.57 , pp. 12-19
    • Edwards, F.H.1    Clark, R.E.2    Schwartz, M.3
  • 8
    • 0025202382 scopus 로고
    • Adult open heart surgery in New York State: An analysis of risk factors and hospital mortality rates
    • Hannan EL, Kilburn H Jr, O'Donnell JF, et al. Adult open heart surgery in New York State: an analysis of risk factors and hospital mortality rates. JAMA. 1990;264:2768-74.
    • (1990) JAMA , vol.264 , pp. 2768-2774
    • Hannan, E.L.1    Kilburn Jr., H.2    O'Donnell, J.F.3
  • 9
    • 0028952667 scopus 로고
    • A comparison of four severity adjusted models to predict mortality after coronary artery bypass graft surgery
    • Orr RK, Maini BS, Sottile FD, Dumas EM, O'Mara P. A comparison of four severity adjusted models to predict mortality after coronary artery bypass graft surgery. Arch Surg. 1995; 130:301-6.
    • (1995) Arch Surg , vol.130 , pp. 301-306
    • Orr, R.K.1    Maini, B.S.2    Sottile, F.D.3    Dumas, E.M.4    O'Mara, P.5
  • 10
    • 0028012831 scopus 로고
    • Why severity models should be used with caution
    • Teres D, Lemeshow S. Why severity models should be used with caution. Crit Care Clin. 1994;10:93-110.
    • (1994) Crit Care Clin , vol.10 , pp. 93-110
    • Teres, D.1    Lemeshow, S.2
  • 11
  • 12
    • 0023514349 scopus 로고
    • Why predictive indexes perform less well in validation studies: Is it magic or methods?
    • Charlson M, Ales KL, Simon R, MacKenzie CR. Why predictive indexes perform less well in validation studies: is it magic or methods? Arch Intern Med. 1987;147:2155-61.
    • (1987) Arch Intern Med , vol.147 , pp. 2155-2161
    • Charlson, M.1    Ales, K.L.2    Simon, R.3    MacKenzie, C.R.4
  • 13
    • 0023940030 scopus 로고
    • Use of a Bayesian statistical model for risk assessment in coronary artery surgery
    • Edwards FH, Albus RA, Zajtchuk R, et al. Use of a Bayesian statistical model for risk assessment in coronary artery surgery. Ann Thorac Surg. 1988;45:437-40.
    • (1988) Ann Thorac Surg , vol.45 , pp. 437-440
    • Edwards, F.H.1    Albus, R.A.2    Zajtchuk, R.3
  • 14
    • 0022350875 scopus 로고
    • Practical problems in assessing risk for coronary artery bypass grafting
    • Pierpont GL, Kruse M, Ewald S, Weir EK. Practical problems in assessing risk for coronary artery bypass grafting. J Thorac Cardiovasc Surg. 1985;89:673-82.
    • (1985) J Thorac Cardiovasc Surg , vol.89 , pp. 673-682
    • Pierpont, G.L.1    Kruse, M.2    Ewald, S.3    Weir, E.K.4
  • 15
    • 0028788276 scopus 로고
    • Application of artificial neural networks to clinical medicine
    • Baxt WG. Application of artificial neural networks to clinical medicine. Lancet. 1995;346:1135-8.
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 16
    • 0027512684 scopus 로고
    • Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer
    • Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt HA, Metz CE. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993;187:81-7.
    • (1993) Radiology , vol.187 , pp. 81-87
    • Wu, Y.1    Giger, M.L.2    Doi, K.3    Vyborny, C.J.4    Schmidt, H.A.5    Metz, C.E.6
  • 17
    • 0027529453 scopus 로고
    • Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation
    • Ebell MH. Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation. J Fam Pract. 1993;36:297-303.
    • (1993) J Fam Pract , vol.36 , pp. 297-303
    • Ebell, M.H.1
  • 18
    • 0027729155 scopus 로고
    • A neural-network approach to predicting admission decisions in a psychiatric emergency room
    • Somoza E, Somoza JR. A neural-network approach to predicting admission decisions in a psychiatric emergency room. Med Decis Making. 1993;13:273-80.
    • (1993) Med Decis Making , vol.13 , pp. 273-280
    • Somoza, E.1    Somoza, J.R.2
  • 19
    • 0030061822 scopus 로고    scopus 로고
    • Prospective validation of artificial neural network trained to identify acute myocardial infarction
    • Baxt WG, Skora J. Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet. 1996;347:12-5.
    • (1996) Lancet , vol.347 , pp. 12-15
    • Baxt, W.G.1    Skora, J.2
  • 20
    • 0027495376 scopus 로고
    • Neural network in the clinical diagnosis of acute pulmonary embolism
    • Patil S, Henry JW, Rubenfire M, Stein PD. Neural network in the clinical diagnosis of acute pulmonary embolism. Chest. 1993;104:1685-9.
    • (1993) Chest , vol.104 , pp. 1685-1689
    • Patil, S.1    Henry, J.W.2    Rubenfire, M.3    Stein, P.D.4
  • 21
    • 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. Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. Comput Biomed Res. 1993;26:220-9.
    • (1993) Comput Biomed Res , vol.26 , pp. 220-229
    • Tu, J.V.1    Guerriere2
  • 22
    • 0028207158 scopus 로고
    • Complexity, chaos and human physiology: The justification for non-linear neural computational analysis
    • Baxt WG. Complexity, chaos and human physiology: the justification for non-linear neural computational analysis. Cancer Lett. 1994;77:85-93.
    • (1994) Cancer Lett , vol.77 , pp. 85-93
    • Baxt, W.G.1
  • 24
    • 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, Roberstson JM. Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression. Proc Soc Computer Applications in Medical Care. 1993:361-5.
    • (1993) Proc Soc Computer Applications in Medical Care , pp. 361-365
    • Doig, G.S.1    Inman, K.J.2    Sibbald, W.J.3    Martin, C.M.4    Roberstson, J.M.5
  • 26
    • 0028041135 scopus 로고
    • Neural networks at the crossroads: Caution ahead
    • Gurney JW. Neural networks at the crossroads: caution ahead. Radiology. 1994;193:27-8.
    • (1994) Radiology , vol.193 , pp. 27-28
    • Gurney, J.W.1
  • 27
    • 0029635662 scopus 로고
    • Nervous about neural networks
    • Wyatt J. Nervous about neural networks. Lancet. 1995;346: 1175-6.
    • (1995) Lancet , vol.346 , pp. 1175-1176
    • Wyatt, J.1
  • 28
    • 84907105591 scopus 로고
    • Evaluating black-boxes as medical decision aids: Issues arising from a study of neural networks
    • Hart A, Wyatt J. Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks. Med Inf. 1990;15:229-36.
    • (1990) Med Inf , vol.15 , pp. 229-236
    • Hart, A.1    Wyatt, J.2
  • 29
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht DF. Probabilistic neural networks. Neural Networks. 1990;3:109-18.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 30
    • 24244435014 scopus 로고
    • Using a neural network to predict cardiac surgery ICU length of stay
    • Orr RK, Kantor WN, Maini BS, Sottile F. Using a neural network to predict cardiac surgery ICU length of stay (abstr). Crit Care Med. 1995;23:A137.
    • (1995) Crit Care Med , vol.23
    • Orr, R.K.1    Kantor, W.N.2    Maini, B.S.3    Sottile, F.4
  • 31
    • 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. A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit. Crit Care Med. 1994;22:750-62.
    • (1994) Crit Care Med , vol.22 , pp. 750-762
    • Buchman, T.G.1    Kubos, K.L.2    Seidler, A.J.3    Siegforth, M.J.4
  • 32
    • 0028225288 scopus 로고
    • Classification of chromosomes using a probabilistic neural network
    • Sweeney WP, Musavi MT, Guidi JN. Classification of chromosomes using a probabilistic neural network. Cytometry. 1994;16:17-24.
    • (1994) Cytometry , vol.16 , pp. 17-24
    • Sweeney, W.P.1    Musavi, M.T.2    Guidi, J.N.3
  • 33
    • 1842355813 scopus 로고
    • Use of a Probabilistic Neural Network to Predict Mortality Following Cardiac Surgery
    • Washington, DC, 1995
    • Orr RK. Use of a Probabilistic Neural Network to Predict Mortality Following Cardiac Surgery. Proc World Congress on Neural Networks 1995;II-754-757. Washington, DC, 1995.
    • (1995) Proc World Congress on Neural Networks , vol.2 , pp. 754-757
    • Orr, R.K.1
  • 34
    • 0025435169 scopus 로고
    • Evaluation of neural network performance by receiver operating characteristic (ROC) analysis: Examples from the biotechnology domain
    • Meistrell ML. Evaluation of neural network performance by receiver operating characteristic (ROC) analysis: examples from the biotechnology domain. Comp Meth Programs Biomed. 1990;32:73-80.
    • (1990) Comp Meth Programs Biomed , vol.32 , pp. 73-80
    • Meistrell, M.L.1
  • 35
    • 0027965087 scopus 로고
    • Assessment of predictive models for binary outcomes: An empirical approach using operative death from cardiac surgery
    • Marshall G, Grover FL, Henderson WG, Hammermeister KE. Assessment of predictive models for binary outcomes: an empirical approach using operative death from cardiac surgery. Stat Med. 1994;13:1501-11.
    • (1994) Stat Med , vol.13 , pp. 1501-1511
    • Marshall, G.1    Grover, F.L.2    Henderson, W.G.3    Hammermeister, K.E.4
  • 36
    • 0028893946 scopus 로고
    • Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery
    • Tu JV, Jaglal SB, Naylor CD, et al. Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. Circulation. 1995;91:677-84.
    • (1995) Circulation , vol.91 , pp. 677-684
    • Tu, J.V.1    Jaglal, S.B.2    Naylor, C.D.3
  • 37
    • 0020063002 scopus 로고
    • A review of goodness of fit statistics for use in the development of logistic regression models
    • Lemeshow S, Hosmer DW Jr. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115:92-106.
    • (1982) Am J Epidemiol , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer Jr., D.W.2
  • 38
    • 0028961486 scopus 로고
    • Customized probability models for early severe sepsis in adult intensive care patients
    • Le Gall J, Lemeshow S, Leleu G, et al. Customized probability models for early severe sepsis in adult intensive care patients. JAMA. 1995;273:644-50.
    • (1995) JAMA , vol.273 , pp. 644-650
    • Le Gall, J.1    Lemeshow, S.2    Leleu, G.3
  • 40
    • 0027445437 scopus 로고
    • Acute pulmonary embolism: Artificial neural network approach for diagnosis
    • Tourassi GD, Floyd CE, Sostman HD, Coleman RE. Acute pulmonary embolism: artificial neural network approach for diagnosis. Radiology. 1993;189:555-8.
    • (1993) Radiology , vol.189 , pp. 555-558
    • Tourassi, G.D.1    Floyd, C.E.2    Sostman, H.D.3    Coleman, R.E.4
  • 41
    • 0004004577 scopus 로고
    • Probabilistic neural networks
    • New York: Van Nostrand Reinhold
    • Wasserman PD. Probabilistic neural networks. In: Advanced Methods in Neural Computing. New York: Van Nostrand Reinhold, 1993:35-55.
    • (1993) Advanced Methods in Neural Computing , pp. 35-55
    • Wasserman, P.D.1
  • 42
    • 0027653891 scopus 로고
    • Prediction of valve-related complications for artificial heart valves using adaptive neural networks: A preliminary study
    • Katz AS, Katz S, Wickham E, Quijanol RC. Prediction of valve-related complications for artificial heart valves using adaptive neural networks: a preliminary study. J Heart Valve Dis. 1993;2:504-8.
    • (1993) J Heart Valve Dis , vol.2 , pp. 504-508
    • Katz, A.S.1    Katz, S.2    Wickham, E.3    Quijanol, R.C.4
  • 43
    • 0007696461 scopus 로고
    • Understanding conflicting data
    • Versaggi MR. Understanding conflicting data. AI Expert. 1995; 10(4):21-5.
    • (1995) AI Expert , vol.10 , Issue.4 , pp. 21-25
    • Versaggi, M.R.1
  • 44
    • 0002621464 scopus 로고
    • The overfitting problem in perspective
    • Leahy K. The overfitting problem in perspective. AI Expert. 1994;9(10):35-6.
    • (1994) AI Expert , vol.9 , Issue.10 , pp. 35-36
    • Leahy, K.1
  • 46
    • 0028242397 scopus 로고
    • A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching
    • Baxt WG. A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching. Med Decis Making. 1994;14:217-22.
    • (1994) Med Decis Making , vol.14 , pp. 217-222
    • Baxt, W.G.1
  • 48
    • 0026374269 scopus 로고
    • Generalization accuracy of probabilistic neural networks compared with back-propagation networks
    • Seattle
    • Specht DF, Shapiro PD. Generalization accuracy of probabilistic neural networks compared with back-propagation networks. Int Joint Conference on Neural Networks (Seattle), 1991:I-887-I-892.
    • (1991) Int Joint Conference on Neural Networks
    • Specht, D.F.1    Shapiro, P.D.2
  • 51
    • 0029054260 scopus 로고
    • Building clinical classifiers using incomplete observations - a neural network ensemble for hepatoma detection in patients with cirrhosis
    • Doyle HR, Parmanto B, Munro PW, et al. Building clinical classifiers using incomplete observations - a neural network ensemble for hepatoma detection in patients with cirrhosis. Meth Inf Med. 1995;34:253-8.
    • (1995) Meth Inf Med , vol.34 , pp. 253-258
    • Doyle, H.R.1    Parmanto, B.2    Munro, P.W.3


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