Use of genetic algorithms for neural networks to predict community-acquired pneumonia

Artificial Intelligence in Medicine

Volumn 30, Issue 1, 2004, Pages 71-84

  Heckerling, Paul S ^a   Gerber, Ben S ^a,b   Tape, Thomas G ^c   Wigton, Robert S ^c  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b University of Illinois at Chicago   (United States)

^c UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

Artificial neural network; Genetic algorithm; Pneumonia

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHROMOSOMES; ENTROPY; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

BINARY CHROMOSOMES; FEED-FORWARD BACK-PROPAGATION;

MEDICINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHROMOSOME; CLINICAL FEATURE; COMMUNITY ACQUIRED PNEUMONIA; COMORBIDITY; CONTROLLED STUDY; CROSSING OVER; DEMOGRAPHY; GENE; GENE MUTATION; GENETIC ALGORITHM; HUMAN; MAJOR CLINICAL STUDY; MEDICAL INFORMATION SYSTEM; POSITIVE FEEDBACK; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RADIOGRAPHY; STATISTICAL ANALYSIS;

EID: 0346848886     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(03)00065-4     Document Type: Article

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