Entering the black box of neural networks: A descriptive study of clinical variables predicting community-acquired pneumonia

Methods of Information in Medicine

Volumn 42, Issue 3, 2003, Pages 287-296

  Heckerling, Paul S ^a,d   Gerber, B S ^a,b   Tape, T G ^c   Wigton, R S ^c  

^a UNIVERSITY OF ILLINOIS   (United States)

^b University of Illinois at Chicago   (United States)

^c UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Analysis; Diagnosis computer assisted; Neural networks (computer); Pneumonia; Sensitivity

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER; FEVER; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; PNEUMONIA; PREDICTION; PRIORITY JOURNAL; RESPIRATORY TRACT DISEASE; SENSITIVITY AND SPECIFICITY;

EID: 0037699357     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634363     Document Type: Article

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