메뉴 건너뛰기




Volumn 37, Issue 7, 2002, Pages 1098-1104

Development of a model for prediction of survival in pediatric trauma patients: Comparison of artificial neural networks and logistic regression

Author keywords

Artificial neural network; Outcome analysis; Survival models; Trauma

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHILD; CHILDHOOD INJURY; COMPARATIVE STUDY; CONFERENCE PAPER; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS; SURVIVAL;

EID: 0036307068     PISSN: 00223468     EISSN: None     Source Type: Journal    
DOI: 10.1053/jpsu.2002.33885     Document Type: Article
Times cited : (27)

References (29)
  • 1
    • 0028788276 scopus 로고
    • Application of artificial neural networks to clinical medicine
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 6
    • 0033811040 scopus 로고    scopus 로고
    • An artificial neural network as a model for prediction of survival in trauma patients: Validation for a regional trauma area
    • discussion 220-223
    • (2000) J Trauma , vol.49 , pp. 212-220
    • DiRusso, S.M.1    Sullivan, T.2    Holly, C.3
  • 14
    • 0032995675 scopus 로고    scopus 로고
    • The Pediatric Risk of Mortality (PRISM) Score and Injury Severity Score (ISS) for predicting resource utilization and outcome of intensive care in pediatric trauma
    • (1999) Crit Care Med , vol.27 , pp. 985-988
    • Castello, F.V.1    Cassano, A.2    Gregory, P.3
  • 16
    • 0031467847 scopus 로고    scopus 로고
    • The Pediatric Risk of Mortality III-Acute Physiology Score (PRISM III-APS): A method of assessing physiologic instability for pediatric intensive care unit patients
    • (1997) J Pediatr , vol.131 , pp. 575-581
    • Pollack, M.M.1    Patel, K.M.2    Ruttimann, U.E.3
  • 20
    • 0025934806 scopus 로고
    • Use of an artificial neural network for the diagnosis of myocardial infarction
    • (1991) Ann Intern Med , vol.115 , pp. 843-848
    • Baxt, W.G.1
  • 21
    • 0027529453 scopus 로고
    • Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation
    • (1993) J Fam Pract , vol.36 , pp. 297-303
    • Ebell, M.H.1
  • 27
    • 0030914688 scopus 로고    scopus 로고
    • Outcome after severe head injury: An analysis of prediction based upon comparison of neural network versus logistic regression analysis
    • (1997) Neurol Res , vol.19 , pp. 274-280
    • Lang, E.W.1    Pitts, L.H.2    Damron, S.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.