메뉴 건너뛰기




Volumn , Issue , 2016, Pages 332-335

Personalized mortality prediction for the critically ill using a patient similarity metric and bagging

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; FORECASTING; HOSPITAL DATA PROCESSING; INFORMATION SCIENCE; MEDICAL COMPUTING; POPULATION STATISTICS;

EID: 84968608645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BHI.2016.7455902     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 1
    • 33646592518 scopus 로고    scopus 로고
    • Acute physiology and chronic health evaluation (apache) IV: Hospital mortality assessment for todays critically ill patients
    • J. E. Zimmerman, A. A. Kramer, D. S. McNair, and F. M. Malila, "Acute physiology and chronic health evaluation (apache) iv: Hospital mortality assessment for todays critically ill patients, " Critical care medicine, vol. 34, no. 5, pp. 1297-1310, 2006.
    • (2006) Critical Care Medicine , vol.34 , Issue.5 , pp. 1297-1310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3    Malila, F.M.4
  • 2
    • 26444506063 scopus 로고    scopus 로고
    • Saps 3from evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at icu admission
    • R. P. Moreno, P. G. Metnitz, E. Almeida, B. Jordan, P. Bauer, R. A. Campos, G. Iapichino, D. Edbrooke, M. Capuzzo, J.-R. Le Gall, et al., "Saps 3from evaluation of the patient to evaluation of the intensive care unit. part 2: Development of a prognostic model for hospital mortality at icu admission, " Intensive care medicine, vol. 31, no. 10, pp. 1345-1355, 2005.
    • (2005) Intensive Care Medicine , vol.31 , Issue.10 , pp. 1345-1355
    • Moreno, R.P.1    Metnitz, P.G.2    Almeida, E.3    Jordan, B.4    Bauer, P.5    Campos, R.A.6    Iapichino, G.7    Edbrooke, D.8    Capuzzo, M.9    Le Gall, J.-R.10
  • 3
    • 85001085996 scopus 로고    scopus 로고
    • Customization of a severity of illness score using local electronic medical record data
    • 0885066615585951
    • J. Lee and D. M. Maslove, "Customization of a severity of illness score using local electronic medical record data, " Journal of intensive care medicine, p. 0885066615585951, 2015.
    • (2015) Journal of Intensive Care Medicine
    • Lee, J.1    Maslove, D.M.2
  • 4
    • 84929340147 scopus 로고    scopus 로고
    • Personalized mortality prediction driven by electronic medical data and a patient similarity metric
    • J. Lee, D. M. Maslove, and J. A. Dubin, "Personalized mortality prediction driven by electronic medical data and a patient similarity metric, " PLoS ONE, vol. 10, no. 5, 2015.
    • (2015) PLoS ONE , vol.10 , Issue.5
    • Lee, J.1    Maslove, D.M.2    Dubin, J.A.3
  • 7
    • 84879940846 scopus 로고    scopus 로고
    • Supervised patient similarity measure of heterogeneous patient records
    • J. Sun, F. Wang, J. Hu, and S. Edabollahi, "Supervised patient similarity measure of heterogeneous patient records, " ACM SIGKDD Explorations Newsletter, vol. 14, no. 1, pp. 16-24, 2012.
    • (2012) ACM SIGKDD Explorations Newsletter , vol.14 , Issue.1 , pp. 16-24
    • Sun, J.1    Wang, F.2    Hu, J.3    Edabollahi, S.4
  • 12
    • 84905990877 scopus 로고    scopus 로고
    • Big data in health care: Using analytics to identify and manage highrisk and high-cost patients
    • D. W. Bates, S. Saria, L. Ohno-Machado, A. Shah, and G. Escobar, "Big data in health care: using analytics to identify and manage highrisk and high-cost patients, " Health Affairs, vol. 33, no. 7, pp. 1123-1131, 2014.
    • (2014) Health Affairs , vol.33 , Issue.7 , pp. 1123-1131
    • Bates, D.W.1    Saria, S.2    Ohno-Machado, L.3    Shah, A.4    Escobar, G.5
  • 13
    • 84901794133 scopus 로고    scopus 로고
    • Learning from big health care data
    • S. Schneeweiss, "Learning from big health care data, " New England Journal of Medicine, vol. 370, no. 23, pp. 2161-2163, 2014.
    • (2014) New England Journal of Medicine , vol.370 , Issue.23 , pp. 2161-2163
    • Schneeweiss, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.