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Volumn 214, Issue , 2015, Pages 56-61

An Improved Patient-Specific Mortality Risk Prediction in ICU in a Random Forest Classification Framework

Author keywords

ICU mortality prediction; random forest

Indexed keywords

DECISION TREES; HEALTH RISKS; HYBRID INTEGRATED CIRCUITS; PATIENT TREATMENT; RISK ASSESSMENT;

EID: 84951954932     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-558-6-56     Document Type: Conference Paper
Times cited : (17)

References (9)
  • 1
    • 84875639259 scopus 로고    scopus 로고
    • Predicting in-hospital mortality of ICU patients: The physionet/computing in cardiology challenge 2012
    • I. Silva et al., Predicting In-Hospital Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012. Comput Cardiol (2010). 2012;39:245-248.
    • (2012) Comput Cardiol (2010) , vol.39 , pp. 245-248
    • Silva, I.1
  • 3
    • 0021739699 scopus 로고
    • A simplified acute physiology score for ICU patient
    • J. R. Le Gall et al., A simplified acute physiology score for ICU patient. Critical Care Medicine, vol. 12, pp. 975-977, 1984.
    • (1984) Critical Care Medicine , vol.12 , pp. 975-977
    • Le Gall, J.R.1
  • 4
    • 84952017915 scopus 로고    scopus 로고
    • accessed on [14th March, 2015]
    • Physionet Challeng, http://physionet.org/challenge/2012/, accessed on [14th March, 2015].
    • Physionet Challeng


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.