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Volumn 3, Issue 4, 2010, Pages 253-258

Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach

Author keywords

Data mining; Ensemble; Health care; Modeling

Indexed keywords

DATA MINING; DIAGNOSIS; FORECASTING; HOSPITALS; OPERATIONS RESEARCH; STATISTICAL TESTS;

EID: 78649968386     PISSN: 19321872     EISSN: 19321864     Source Type: Journal    
DOI: 10.1002/sam.10079     Document Type: Article
Times cited : (30)

References (6)
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    • Friedman, J.H.1
  • 3
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: a statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani, Additive logistic regression: a statistical view of boosting, Ann Stat 28 (2000), 337-407.
    • (2000) Ann Stat , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 4
    • 34548398550 scopus 로고    scopus 로고
    • Mortality risk prediction in coronary surgery: a locally developed model outperforms external risk models
    • P. E. Antunes, L. Eugenio, J. Ferrao de Oliveira, and M. J. Antunes, Mortality risk prediction in coronary surgery: a locally developed model outperforms external risk models, Interact CardioVasc Thoraccic Surg 6 (2007), 437-441.
    • (2007) Interact CardioVasc Thoraccic Surg , vol.6 , pp. 437-441
    • Antunes, P.E.1    Eugenio, L.2    Ferrao de Oliveira, J.3    Antunes, M.J.4
  • 5
    • 0038024669 scopus 로고    scopus 로고
    • Predicting mortality in patients with heart failure: a pragmatic approach
    • H. L. M. L. Bouvy, E. R. Heerdink, and A. Hoes, Predicting mortality in patients with heart failure: a pragmatic approach, Heart 89 (2003), 605-609.
    • (2003) Heart , vol.89 , pp. 605-609
    • Bouvy, H.L.M.L.1    Heerdink, E.R.2    Hoes, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.