-
1
-
-
78049334037
-
An automated model to identify heart failure patients at risk for 30-Day readmission or death using electronic medical record data
-
20940649
-
Amarasingham R, Moore BJ, Tabak YP, Drazner MH, Clark CA, Zhang S, et al. An automated model to identify heart failure patients at risk for 30-Day readmission or death using electronic medical record data. Med Care. 2010;48:981-8.
-
(2010)
Med Care
, vol.48
, pp. 981-988
-
-
Amarasingham, R.1
Moore, B.J.2
Tabak, Y.P.3
Drazner, M.H.4
Clark, C.A.5
Zhang, S.6
-
2
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Mach Learn. 2001;45(1):5-32. doi: 10.1023/A:1010933404324.
-
(2001)
Mach Learn
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
3
-
-
0003010182
-
Verification of forecasts expressed in terms of probability
-
Brier GW. Verification of forecasts expressed in terms of probability. Mon Weather Rev. 1950;78:1-3.
-
(1950)
Mon. Weather Rev
, vol.78
, pp. 1-3
-
-
Brier, G.W.1
-
4
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
Blum A, Langley P. Selection of relevant features and examples in machine learning. Artif Intell. 1997;97(1-2):245-71.
-
(1997)
Artif Intell
, vol.97
, Issue.1-2
, pp. 245-271
-
-
Blum, A.1
Langley, P.2
-
5
-
-
84894637209
-
A public-private partnership develops and externally validates a 30-day hospital readmission risk prediction model
-
3812998 24224068
-
Choudhry SA, Li J, Davis D, Erdmann C, Sikka R, Sutariya B. A public-private partnership develops and externally validates a 30-day hospital readmission risk prediction model. Online J Public Health Inform. 2013;5(2):219.
-
(2013)
Online J Public Health Inform
, vol.5
, Issue.2
, pp. 219
-
-
Choudhry, S.A.1
Li, J.2
Davis, D.3
Erdmann, C.4
Sikka, R.5
Sutariya, B.6
-
6
-
-
4844220089
-
Posthospital care transitions: Patterns, complications, and risk identification
-
1361078 15333117
-
Coleman EA, Min S, Chomiak A, Kramer AM. Posthospital care transitions: patterns, complications, and risk identification. Health Serv Res. 2004;39(5):1449-65.
-
(2004)
Health Serv Res
, vol.39
, Issue.5
, pp. 1449-1465
-
-
Coleman, E.A.1
Min, S.2
Chomiak, A.3
Kramer, A.M.4
-
7
-
-
33847109797
-
Use and misuse of the receiver operating characteristics curve in risk prediction
-
17309939
-
Cook NR. Use and misuse of the receiver operating characteristics curve in risk prediction. Circulation. 2007;115(7):928-35.
-
(2007)
Circulation
, vol.115
, Issue.7
, pp. 928-935
-
-
Cook, N.R.1
-
8
-
-
84876785353
-
Potentially avoidable 30-Day hospital readmissions in medical patients: Derivation and validation of a prediction model
-
23529115
-
Donze J, Aujesky D, Williams D, Schnipper JL. Potentially avoidable 30-Day hospital readmissions in medical patients: derivation and validation of a prediction model. JAMA Intern Med. 2013;173(8):632-8.
-
(2013)
JAMA Intern Med
, vol.173
, Issue.8
, pp. 632-638
-
-
Donze, J.1
Aujesky, D.2
Williams, D.3
Schnipper, J.L.4
-
9
-
-
84888059665
-
Stopping stepwise: Why stepwise and similar selection methods are bad, andwhat you should use
-
11-14th November 2007;Baltimore, Maryland
-
Flom PL, Cassell DL. Stopping stepwise: Why stepwise and similar selection methods are bad, andwhat you should use. NorthEast SAS Users Group Inc 20th Annual Conference: 11-14th November 2007;Baltimore, Maryland. 2007.
-
(2007)
NorthEast SAS Users Group Inc 20th Annual Conference
-
-
Flom, P.L.1
Cassell, D.L.2
-
10
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
Freund Y. Boosting a weak learning algorithm by majority. Inform Comput. 1995;121:256-85.
-
(1995)
Inform Comput
, vol.121
, pp. 256-285
-
-
Freund, Y.1
-
11
-
-
0031211090
-
A decision-theoretic generalization of online learning and an application to boosting
-
Freund Y, Schapire RE. A decision-theoretic generalization of online learning and an application to boosting. J Comput System Sci. 1997;55:119-39.
-
(1997)
J Comput System Sci
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
12
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
Friedman JH. Greedy function approximation: a gradient boosting machine. Ann Stat. 2001;29:1189-232.
-
(2001)
Ann Stat
, vol.29
, pp. 1189-1232
-
-
Friedman, J.H.1
-
13
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting (with discussion)
-
Friedman JH, Hastie T, Tibshirani R. Additive logistic regression: a statistical view of boosting (with discussion). Ann Stat. 2000;28:337-407.
-
(2000)
Ann Stat
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
14
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
2929880 20808728
-
Friedman JH, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1-22.
-
(2010)
J Stat Softw
, vol.33
, Issue.1
, pp. 1-22
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
15
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A. An introduction to variable and feature selection. J Mach Learn Res. 2003;3:1157-82.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
16
-
-
0030069896
-
Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
-
8668867
-
Harrell Jr FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361-87.
-
(1996)
Stat Med
, vol.15
, Issue.4
, pp. 361-387
-
-
Harrell, F.E.1
Lee, K.L.2
Mark, D.B.3
-
18
-
-
84941908301
-
Conditions with the Largest Number of Adult Hospital Readmissions by Payer, 2011: Statistical Brief #172
-
Agency for Health Care Policy and Research (US) Rockville
-
Hines AL, Barrett ML, Jiang HJ, Steiner CA. Conditions with the Largest Number of Adult Hospital Readmissions by Payer, 2011: Statistical Brief #172. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs [Internet]. Rockville: Agency for Health Care Policy and Research (US); 2014. Available from: http://www.ncbi.nlm.nih.gov/books/NBK206781/.
-
(2014)
Healthcare Cost and Utilization Project (HCUP) Statistical Briefs [Internet]
-
-
Hines, A.L.1
Barrett, M.L.2
Jiang, H.J.3
Steiner, C.A.4
-
19
-
-
84893967115
-
Model-based boosting in R - A hands-on tutorial using the R package mboost
-
Hofner B, Mayr A, Robinzonov N, Schmid M. Model-based boosting in R - A hands-on tutorial using the R package mboost. Comput Stat. 2014;29:3-35.
-
(2014)
Comput Stat
, vol.29
, pp. 3-35
-
-
Hofner, B.1
Mayr, A.2
Robinzonov, N.3
Schmid, M.4
-
20
-
-
84872170445
-
A goodness-of-fit test for the multiple logistic regression model
-
Hosmer DW, Lemeshow S. A goodness-of-fit test for the multiple logistic regression model. Comm Stat. 1980;A10:1043-69.
-
(1980)
Comm Stat
, vol.10
, pp. 1043-1069
-
-
Hosmer, D.W.1
Lemeshow, S.2
-
21
-
-
80054764509
-
Risk prediction models for hospital readmission: A systematic review
-
3603349 1:CAS:528:DC%2BC3MXhtlKgs73J 22009101
-
Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306(15):1688-98.
-
(2011)
JAMA
, vol.306
, Issue.15
, pp. 1688-1698
-
-
Kansagara, D.1
Englander, H.2
Salanitro, A.3
Kagen, D.4
Theobald, C.5
Freeman, M.6
-
22
-
-
84919470597
-
Neighborhood socioeconomic disadvantage and 30-Day rehospitalization: A retrospective cohort study
-
10.7326/M13-2946 4251560 25437404
-
Kind AJH, Jencks S, Brock J, Yu M, Bartels C, Ehlenbach W, et al. Neighborhood socioeconomic disadvantage and 30-Day rehospitalization: a retrospective cohort study. Ann Intern Med. 2014;161:765-74. doi: 10.7326/M13-2946.
-
(2014)
Ann Intern Med
, vol.161
, pp. 765-774
-
-
Kind, A.J.H.1
Jencks, S.2
Brock, J.3
Yu, M.4
Bartels, C.5
Ehlenbach, W.6
-
23
-
-
84959329031
-
Patient Factors Predictive of Hospital Readmissions within 30 Days
-
[Epub ahead of print]
-
Kroch E, Duan M, Martin J, Bankowitz RA. Patient Factors Predictive of Hospital Readmissions within 30 Days. J Healthc Qual. 2015; 1-10. [Epub ahead of print].
-
(2015)
J Healthc Qual
, pp. 1-10
-
-
Kroch, E.1
Duan, M.2
Martin, J.3
Bankowitz, R.A.4
-
24
-
-
84959375665
-
Preventable readmission risk factors for patients with chronic conditions
-
Rico F, Liu Y, Martinez DA, Huang S, Zayas-Castro JZ, Fabri PJ. Preventable readmission risk factors for patients with chronic conditions. J Healthc Qual. 2015;00:1-16.
-
(2015)
J Healthc Qual
, pp. 1-16
-
-
Rico, F.1
Liu, Y.2
Martinez, D.A.3
Huang, S.4
Zayas-Castro, J.Z.5
Fabri, P.J.6
-
25
-
-
0025448521
-
The strength of weak learnability
-
Schapire RE. The strength of weak learnability. Mach Learn. 1990;5:197-227.
-
(1990)
Mach Learn
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
26
-
-
84945451773
-
Functional status outperforms comorbidities in predicting acute care readmissions in medically complex patients
-
Shih SL, Gerrard P, Goldstein R, Mix J, Ryan CM, Niewczyk P, et al. Functional status outperforms comorbidities in predicting acute care readmissions in medically complex patients. J Gen Intern Med. 2015. doi: 10.1007/s11606-015-3350-2.
-
(2015)
J Gen Intern Med
-
-
Shih, S.L.1
Gerrard, P.2
Goldstein, R.3
Mix, J.4
Ryan, C.M.5
Niewczyk, P.6
-
28
-
-
77951240308
-
Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community
-
2845681 20194559
-
Walraven CV, Dhalla IA, Bell C, Etchells E, Stiell IG, Zarnke K, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551-7.
-
(2010)
CMAJ
, vol.182
, Issue.6
, pp. 551-557
-
-
Walraven, C.V.1
Dhalla, I.A.2
Bell, C.3
Etchells, E.4
Stiell, I.G.5
Zarnke, K.6
-
29
-
-
16244401458
-
Regularization and variable selection via the elastic Net
-
Zou H, Hastie T. Regularization and variable selection via the elastic Net. J R Stat Soc B. 2005;67(2):301-20.
-
(2005)
J R Stat Soc B
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|