Comparison of logistic regression and neural network analysis applied to predicting living setting after hip fracture

Annals of Epidemiology

Volumn 14, Issue 8, 2004, Pages 551-559

  Ottenbacher, Kenneth J ^a   Linn, Richard T ^a   Smith, Pamela M ^a   Illig, Sandra B ^a   Mancuso, Melodee ^a   Granger, Carl V ^a  

^a UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

Joint Replacement; Rehabilitation Outcomes

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER FUNCTION; CALCULATION; CALIBRATION; COMPARATIVE STUDY; FEMALE; FOLLOW UP; HIP FRACTURE; HOSPITALIZATION; HUMAN; INFORMATION PROCESSING; LENGTH OF STAY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MARRIAGE; MATHEMATICAL COMPUTING; MEASUREMENT; PRIORITY JOURNAL; SAMPLE; SELF CARE; TREATMENT OUTCOME;

AGED; ALGORITHMS; FEMALE; FOLLOW-UP STUDIES; HIP; HIP FRACTURES; HUMANS; INSURANCE, HEALTH; LENGTH OF STAY; LOGISTIC MODELS; MALE; MARITAL STATUS; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); TREATMENT OUTCOME;

EID: 4544258100     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annepidem.2003.10.005     Document Type: Article

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