-
1
-
-
0025605590
-
Clinical antecedents to in-hospital cardiopulmonary arrest
-
[1] Schein, R.M., Hazday, N., Pena, M., Ruben, B.H., Sprung, C.L., Clinical antecedents to in-hospital cardiopulmonary arrest. Chest 98 (1990), 1388–1392.
-
(1990)
Chest
, vol.98
, pp. 1388-1392
-
-
Schein, R.M.1
Hazday, N.2
Pena, M.3
Ruben, B.H.4
Sprung, C.L.5
-
2
-
-
0029616632
-
The medical emergency team: a new strategy to identify and intervene in high-risk surgical patients
-
[2] Hournihan, F., Bishop, G., Hillman, K.M., Dauffurn, K., Lee, A., The medical emergency team: a new strategy to identify and intervene in high-risk surgical patients. Clin. Intens. Care 6 (1995), 269–272.
-
(1995)
Clin. Intens. Care
, vol.6
, pp. 269-272
-
-
Hournihan, F.1
Bishop, G.2
Hillman, K.M.3
Dauffurn, K.4
Lee, A.5
-
3
-
-
0033573662
-
Quality of care before admission to intensive care. Deaths on the wards might be prevented
-
[3] Goldhill, D.R., Worthington, L.M., Mulcahy, A.J., Tarling, M.M., Quality of care before admission to intensive care. Deaths on the wards might be prevented. BMJ, 318, 1999, 195.
-
(1999)
BMJ
, vol.318
, pp. 195
-
-
Goldhill, D.R.1
Worthington, L.M.2
Mulcahy, A.J.3
Tarling, M.M.4
-
4
-
-
0032858282
-
The patient-at-risk team: identifying and managing seriously ill ward patients
-
[4] Goldhill, D.R., Worthington, L., Mulcahy, A., Tarling, M., Sumner, A., The patient-at-risk team: identifying and managing seriously ill ward patients. Anaesthesia 54 (1999), 853–860.
-
(1999)
Anaesthesia
, vol.54
, pp. 853-860
-
-
Goldhill, D.R.1
Worthington, L.2
Mulcahy, A.3
Tarling, M.4
Sumner, A.5
-
5
-
-
0034781186
-
Validation of a modified early warning score in medical admissions
-
[5] Subbe, C.P., Kruger, M., Rutherford, P., Gemmel, L., Validation of a modified early warning score in medical admissions. Q. J. Med. 94 (2001), 521–526.
-
(2001)
Q. J. Med.
, vol.94
, pp. 521-526
-
-
Subbe, C.P.1
Kruger, M.2
Rutherford, P.3
Gemmel, L.4
-
6
-
-
84988730777
-
-
NHS, National Early Warning Score (NEWS), Standardising the assessment of acute-illness severity in the NHS, report of a working party, in: Physicians LRCo, (Ed.), Royal College of Physicians, London,.
-
[6] NHS, National Early Warning Score (NEWS), Standardising the assessment of acute-illness severity in the NHS, report of a working party, in: Physicians LRCo, (Ed.), Royal College of Physicians, London, 2012.
-
(2012)
-
-
-
7
-
-
84875239334
-
The ability of the national early warning score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death
-
[7] Smith, G.B., Prytherch, D.R., Meredith, P., Schmidt, P.E., Featherstone, P.I., The ability of the national early warning score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation 84 (2013), 465–470.
-
(2013)
Resuscitation
, vol.84
, pp. 465-470
-
-
Smith, G.B.1
Prytherch, D.R.2
Meredith, P.3
Schmidt, P.E.4
Featherstone, P.I.5
-
8
-
-
77954693104
-
ViEWS–towards a national early warning score for detecting adult inpatient deterioration
-
[8] Prytherch, D.R., Smith, G.B., Schmidt, P.E., Featherstone, P.I., ViEWS–towards a national early warning score for detecting adult inpatient deterioration. Resuscitation 81 (2010), 932–937.
-
(2010)
Resuscitation
, vol.81
, pp. 932-937
-
-
Prytherch, D.R.1
Smith, G.B.2
Schmidt, P.E.3
Featherstone, P.I.4
-
9
-
-
33748706215
-
The PEWS score: potential calling criteria for critical care response teams in children's hospitals
-
[9] Fraser, D.D., Singh, R.N., Frewen, T., The PEWS score: potential calling criteria for critical care response teams in children's hospitals. J. Crit. Care 21 (2006), 278–279.
-
(2006)
J. Crit. Care
, vol.21
, pp. 278-279
-
-
Fraser, D.D.1
Singh, R.N.2
Frewen, T.3
-
10
-
-
69849101803
-
Development and initial validation of the bedside paediatric early warning system score
-
[10] Parshuram, C.S., Hutchison, J., Middaugh, K., Development and initial validation of the bedside paediatric early warning system score. Crit. Care, 13, 2009, R135.
-
(2009)
Crit. Care
, vol.13
, pp. R135
-
-
Parshuram, C.S.1
Hutchison, J.2
Middaugh, K.3
-
11
-
-
84875387802
-
The cardiac children's hospital early warning score (C-CHEWS)
-
[11] McLellan, M.C., Connor, J.A., The cardiac children's hospital early warning score (C-CHEWS). J. Pediatr. Nurs. 28 (2013), 171–178.
-
(2013)
J. Pediatr. Nurs.
, vol.28
, pp. 171-178
-
-
McLellan, M.C.1
Connor, J.A.2
-
12
-
-
84883746095
-
Development and validation of a continuous measure of patient condition using the electronic medical record
-
[12] Rothman, M.J., Rothman, S.I., Beals, J.T., Development and validation of a continuous measure of patient condition using the electronic medical record. J. Biomed. Inform. 46 (2013), 837–848.
-
(2013)
J. Biomed. Inform.
, vol.46
, pp. 837-848
-
-
Rothman, M.J.1
Rothman, S.I.2
Beals, J.T.3
-
13
-
-
84921697939
-
Multicenter development and validation of a risk stratification tool for ward patients
-
[13] Churpek, M., Yuen, T., Winslow, C., Robicsek, A., Meltzer, D., Gibbons, R., Edelson, D., Multicenter development and validation of a risk stratification tool for ward patients. Am. J. Respir. Crit. Care Med. 190 (2014), 649–655.
-
(2014)
Am. J. Respir. Crit. Care Med.
, vol.190
, pp. 649-655
-
-
Churpek, M.1
Yuen, T.2
Winslow, C.3
Robicsek, A.4
Meltzer, D.5
Gibbons, R.6
Edelson, D.7
-
14
-
-
84903786703
-
A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team
-
[14] Kollef, M.H., Chen, Y., Heard, K., LaRossa, G.N., Lu, C., Martin, N.R., Martin, N., Micek, S.T., Bailey, T., A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team. J. Hosp. Med. 9 (2014), 424–429.
-
(2014)
J. Hosp. Med.
, vol.9
, pp. 424-429
-
-
Kollef, M.H.1
Chen, Y.2
Heard, K.3
LaRossa, G.N.4
Lu, C.5
Martin, N.R.6
Martin, N.7
Micek, S.T.8
Bailey, T.9
-
15
-
-
84940370260
-
Automated detection of physiologic deterioration in hospitalized patients
-
[15] Evans, R.S., Kuttler, K.G., Simpson, K.J., Howe, S., Crossno, P.F., Johnson, K.V., Schreiner, M.N., Lloyd, J.F., Tettelbach, W.H., Keddington, R.K., Tanner, A., Wilde, C., Clemmer, T.P., Automated detection of physiologic deterioration in hospitalized patients. J. Am. Med. Inform. Assoc.: JAMIA 22 (2015), 350–360.
-
(2015)
J. Am. Med. Inform. Assoc.: JAMIA
, vol.22
, pp. 350-360
-
-
Evans, R.S.1
Kuttler, K.G.2
Simpson, K.J.3
Howe, S.4
Crossno, P.F.5
Johnson, K.V.6
Schreiner, M.N.7
Lloyd, J.F.8
Tettelbach, W.H.9
Keddington, R.K.10
Tanner, A.11
Wilde, C.12
Clemmer, T.P.13
-
16
-
-
84861960489
-
Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record
-
[16] Escobar, G.J., LaGuardia, J., Turk, B.J., Ragins, A., Kipnis, P., Draper, D., Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record. J. Hosp. Med. 7 (2012), 388–395.
-
(2012)
J. Hosp. Med.
, vol.7
, pp. 388-395
-
-
Escobar, G.J.1
LaGuardia, J.2
Turk, B.J.3
Ragins, A.4
Kipnis, P.5
Draper, D.6
-
17
-
-
77952421241
-
The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population
-
[17] van Walraven, C., Escobar, G.J., Greene, J.D., Forster, A.J., The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population. J. Clin. Epidemiol. 63 (2010), 798–803.
-
(2010)
J. Clin. Epidemiol.
, vol.63
, pp. 798-803
-
-
van Walraven, C.1
Escobar, G.J.2
Greene, J.D.3
Forster, A.J.4
-
18
-
-
42449097690
-
Risk adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases
-
[18] Escobar, G., Greene, J., Scheirer, P., Gardner, M., Draper, D., Kipnis, P., Risk adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases. Med. Care 46 (2008), 232–239.
-
(2008)
Med. Care
, vol.46
, pp. 232-239
-
-
Escobar, G.1
Greene, J.2
Scheirer, P.3
Gardner, M.4
Draper, D.5
Kipnis, P.6
-
19
-
-
84876279048
-
Risk-adjusting hospital mortality using a comprehensive electronic record in an integrated healthcare delivery system
-
[19] Escobar, G.J., Gardner, M., Greene, J.G., Draper, D., Kipnis, P., Risk-adjusting hospital mortality using a comprehensive electronic record in an integrated healthcare delivery system. Med. Care 51 (2013), 446–453.
-
(2013)
Med. Care
, vol.51
, pp. 446-453
-
-
Escobar, G.J.1
Gardner, M.2
Greene, J.G.3
Draper, D.4
Kipnis, P.5
-
20
-
-
84988694221
-
-
Teradata Integrated Data Warehouses. Available at: <>.
-
[20] Teradata Integrated Data Warehouses. Available at: < http://www.teradata.com/products-and-services/Integrated-Data-Warehouse-Overview/?LangType=1033&LangSelect=true>.
-
-
-
-
21
-
-
33845536164
-
The class imbalance problem: a systematic study
-
[21] Japkowicz, N., Shaju, S., The class imbalance problem: a systematic study. Intell. Data Anal. 6:5 (2002), 429–449.
-
(2002)
Intell. Data Anal.
, vol.6
, Issue.5
, pp. 429-449
-
-
Japkowicz, N.1
Shaju, S.2
-
22
-
-
84862515469
-
A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches
-
[22] Galar, M., Fernandez, A., Barrenechea, E., Bustince, H., Herrera, F., A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 42 (2012), 463–484.
-
(2012)
IEEE Trans. Syst. Man Cybern. Part C Appl. Rev.
, vol.42
, pp. 463-484
-
-
Galar, M.1
Fernandez, A.2
Barrenechea, E.3
Bustince, H.4
Herrera, F.5
-
23
-
-
64049108468
-
Exploratory undersampling for class-imbalance learning
-
[23] Liu, X.Y., Wu, J., Zhou, Z.H., Exploratory undersampling for class-imbalance learning. IEEE Trans. Syst. Man Cybernet. Part B, Cybernet.: Publ. IEEE Syst. Man Cybernet. Soc. 39 (2009), 539–550.
-
(2009)
IEEE Trans. Syst. Man Cybernet. Part B, Cybernet.: Publ. IEEE Syst. Man Cybernet. Soc.
, vol.39
, pp. 539-550
-
-
Liu, X.Y.1
Wu, J.2
Zhou, Z.H.3
-
24
-
-
33846516584
-
Pattern Recognition and Machine Learning
-
Springer Berlin
-
[24] Bishop, C.M., Pattern Recognition and Machine Learning. 2006, Springer, Berlin.
-
(2006)
-
-
Bishop, C.M.1
-
25
-
-
33645695410
-
Support vector machines in R
-
[25] Hornik, K., Meyer, D., Support vector machines in R. J. Stat. Softw. 15 (2006), 1–28.
-
(2006)
J. Stat. Softw.
, vol.15
, pp. 1-28
-
-
Hornik, K.1
Meyer, D.2
-
26
-
-
0001838202
-
Discrete-time methods for the analysis of event histories
-
[26] Allison, P.D., Discrete-time methods for the analysis of event histories. Sociol. Methodol. 13 (1982), 61–98.
-
(1982)
Sociol. Methodol.
, vol.13
, pp. 61-98
-
-
Allison, P.D.1
-
28
-
-
21244500957
-
Logistic model trees
-
[28] Landwehr, N., Hall, M., Frank, E., Logistic model trees. Mach. Learn. 59 (2005), 161–205.
-
(2005)
Mach. Learn.
, vol.59
, pp. 161-205
-
-
Landwehr, N.1
Hall, M.2
Frank, E.3
-
29
-
-
75149176174
-
Ensemble-based classifiers
-
[29] Rokach, L., Ensemble-based classifiers. Artif. Intell. Rev. 33 (2010), 1–39.
-
(2010)
Artif. Intell. Rev.
, vol.33
, pp. 1-39
-
-
Rokach, L.1
-
30
-
-
77956887506
-
A note on a general definition of the coefficient of determination
-
[30] Nagelkerke, N., A note on a general definition of the coefficient of determination. Biometrika 78 (1991), 691–692.
-
(1991)
Biometrika
, vol.78
, pp. 691-692
-
-
Nagelkerke, N.1
-
31
-
-
0021135218
-
Regression modelling strategies for improved prognostic prediction
-
[31] Harrell, F.E. Jr., Lee, K.L., Califf, R.M., Pryor, D.B., Rosati, R.A., Regression modelling strategies for improved prognostic prediction. Stat. Med. 3 (1984), 143–152.
-
(1984)
Stat. Med.
, vol.3
, pp. 143-152
-
-
Harrell, F.E.1
Lee, K.L.2
Califf, R.M.3
Pryor, D.B.4
Rosati, R.A.5
-
32
-
-
67651009834
-
Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating New York
-
Springer NY
-
[32] Steyerberg, E.W., Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating New York. 2009, Springer, NY.
-
(2009)
-
-
Steyerberg, E.W.1
-
33
-
-
84928911070
-
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
-
[33] Saito, T., Rehmsmeier, M., The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PLoS ONE, 10, 2015, e0118432.
-
(2015)
PLoS ONE
, vol.10
, pp. e0118432
-
-
Saito, T.1
Rehmsmeier, M.2
-
34
-
-
84939187754
-
Why the C-statistic is not informative to evaluate early warning scores and what metrics to use
-
[34] Romero-Brufau, S., Huddleston, J.M., Escobar, G.J., Liebow, M., Why the C-statistic is not informative to evaluate early warning scores and what metrics to use. Crit. Care, 19, 2015, 285.
-
(2015)
Crit. Care
, vol.19
, pp. 285
-
-
Romero-Brufau, S.1
Huddleston, J.M.2
Escobar, G.J.3
Liebow, M.4
-
35
-
-
79551509338
-
Intra-hospital transfers to a higher level of care: contribution to total hospital and intensive care unit (ICU) mortality and length of stay (LOS)
-
[35] Escobar, G.J., Greene, J.D., Gardner, M.N., Marelich, G.P., Quick, B., Kipnis, P., Intra-hospital transfers to a higher level of care: contribution to total hospital and intensive care unit (ICU) mortality and length of stay (LOS). J. Hosp. Med. 6 (2011), 74–80.
-
(2011)
J. Hosp. Med.
, vol.6
, pp. 74-80
-
-
Escobar, G.J.1
Greene, J.D.2
Gardner, M.N.3
Marelich, G.P.4
Quick, B.5
Kipnis, P.6
-
36
-
-
41349123234
-
Review and performance evaluation of aggregate weighted ‘track and trigger’ systems
-
[36] Smith, G.B., Prytherch, D.R., Schmidt, P.E., Featherstone, P.I., Review and performance evaluation of aggregate weighted ‘track and trigger’ systems. Resuscitation 77 (2008), 170–179.
-
(2008)
Resuscitation
, vol.77
, pp. 170-179
-
-
Smith, G.B.1
Prytherch, D.R.2
Schmidt, P.E.3
Featherstone, P.I.4
-
37
-
-
84905167755
-
Doing Data Science: Straight Talk from the Frontline
-
O'Reilly Media, Inc.
-
[37] Schutt, R., O'Neil, C., Doing Data Science: Straight Talk from the Frontline. 2013, O'Reilly Media, Inc.
-
(2013)
-
-
Schutt, R.1
O'Neil, C.2
-
38
-
-
84907372351
-
Machine Learning With R
-
Packt Publishing Ltd.
-
[38] Lantz, B., Machine Learning With R. 2013, Packt Publishing Ltd.
-
(2013)
-
-
Lantz, B.1
-
39
-
-
34447106708
-
Worthing physiological scoring system: derivation and validation of a physiological early-warning system for medical admissions. An observational, population-based single-centre study
-
[39] Duckitt, R.W., Buxton-Thomas, R., Walker, J., Cheek, E., Bewick, V., Venn, R., Forni, L.G., Worthing physiological scoring system: derivation and validation of a physiological early-warning system for medical admissions. An observational, population-based single-centre study. Br. J. Anaesth. 98 (2007), 769–774.
-
(2007)
Br. J. Anaesth.
, vol.98
, pp. 769-774
-
-
Duckitt, R.W.1
Buxton-Thomas, R.2
Walker, J.3
Cheek, E.4
Bewick, V.5
Venn, R.6
Forni, L.G.7
-
40
-
-
84952674012
-
End points for validating early warning scores in the context of rapid response systems: a Delphi consensus study
-
[40] Pedersen, N.E., Oestergaard, D., Lippert, A., End points for validating early warning scores in the context of rapid response systems: a Delphi consensus study. Acta Anaesthesiol. Scand. 60:5 (2016), 616–622.
-
(2016)
Acta Anaesthesiol. Scand.
, vol.60
, Issue.5
, pp. 616-622
-
-
Pedersen, N.E.1
Oestergaard, D.2
Lippert, A.3
-
41
-
-
84905990877
-
Big data in health care: using analytics to identify and manage high-risk and high-cost patients
-
[41] Bates, D.W., Saria, S., Ohno-Machado, L., Shah, A., Escobar, G., Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff. 33 (2014), 1123–1131.
-
(2014)
Health Aff.
, vol.33
, pp. 1123-1131
-
-
Bates, D.W.1
Saria, S.2
Ohno-Machado, L.3
Shah, A.4
Escobar, G.5
|