Models developed by three techniques did not achieve acceptable prediction of binary trauma outcomes

Journal of Clinical Epidemiology

Volumn 59, Issue 1, 2006, Pages 26-35

  Wolfe, Rory ^a   McKenzie, Dean P ^a   Black, James ^b   Simpson, Pam ^a   Gabbe, Belinda J ^a   Cameron, Peter A ^a  

^a MONASH UNIVERSITY   (Australia)

^b ROYAL MELBOURNE HOSPITAL   (Australia)

Author keywords

Classification and regression trees; External validation; Logistic regression; Neural networks; Performance criteria; Prediction model

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUSTRALIA; CLASSIFICATION; DEATH; HOSPITALIZATION; INJURY; INTENSIVE CARE UNIT; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MEDICAL INFORMATION; OUTCOMES RESEARCH; PREDICTION; PREVALENCE; PRIORITY JOURNAL; REGISTER; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION PROCESS;

ADULT; DECISION TREES; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; LENGTH OF STAY; MALE; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PROGNOSIS; WOUNDS AND INJURIES;

EID: 29144534302     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2005.05.007     Document Type: Article

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