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Volumn 124, Issue , 2006, Pages 1019-1024

Artificial neural network versus subjective scoring in predicting mortality in trauma patients

Author keywords

Artificial Neural Networks; Mortality Prediction

Indexed keywords

HOSPITALS; NEURAL NETWORKS; PHYSIOLOGY; SOFTWARE TESTING;

EID: 39049190156     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 1
    • 85047689963 scopus 로고
    • New Computer method for multi-factorial evaluation of a major health problem
    • Jan 22
    • Boyd DR, Lowe RJ, Baker RJ, Nyhus LM. Trauma Registry. New Computer method for multi-factorial evaluation of a major health problem. JAMA 1973 Jan 22;223(4):422-8
    • (1973) JAMA , vol.223 , Issue.4 , pp. 422-428
    • Boyd, D.R.1    Lowe, R.J.2    Baker, R.J.3    Registry, N.4    Trauma, L.M.5
  • 2
    • 0033600337 scopus 로고    scopus 로고
    • Outcome Data and scoring systems
    • Gunning & Rowan. Outcome Data and scoring systems. BMJ 1999;319:241-244
    • (1999) BMJ , vol.319 , pp. 241-244
    • Gunning, R.1
  • 3
    • 0016391336 scopus 로고
    • Assessment of Coma and impaired consciousness
    • Teasdale & Jennett. Assessment of Coma and impaired consciousness. Lancet 1974;ii:81-4
    • (1974) Lancet , vol.2 , pp. 81-84
    • Teasdale, J.1
  • 6
    • 0028891662 scopus 로고
    • The comparison of injury severity instrument performance using likelihood ratio and roc curve analysis
    • Lett RR, Hanley JA and Smith JS. The Comparison of Injury Severity Instrument Performance Using Likelihood Ratio and ROC Curve Analysis. J Trauma, 38(1) 1995:142-148
    • (1995) J Trauma , vol.38 , Issue.1 , pp. 142-148
    • Lett, R.R.1    Hanley, J.A.2    Smith, J.S.3
  • 7
    • 0023182532 scopus 로고
    • Evaluating trauma care: Triss method
    • Boyd CR, Tolson MA, Copes WS. Evaluating Trauma Care: TRISS method. J. Trauma 1987;27:370-378
    • (1987) J. Trauma , vol.27 , pp. 370-378
    • Boyd, C.R.1    Tolson, M.A.2    Copes, W.S.3
  • 8
    • 0033811040 scopus 로고    scopus 로고
    • An artificial neural network as a model for prediction of survival in trauma patients
    • Aug.
    • DiRusso SM, Sullivan T, Holly C, Cuff SN, Savino J. An artificial neural network as a model for prediction of survival in trauma patients. J. Trauma 2000 Aug;49(2):212-220
    • (2000) J. Trauma , vol.49 , Issue.2 , pp. 212-220
    • Dirusso, S.M.1    Sullivan, T.2    Holly, C.3    Cuff, S.N.4    Savino, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.