A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders

Artificial Intelligence in Medicine

Volumn 20, Issue 3, 2000, Pages 205-216

  Hayashi, Yoichi ^a   Setiono, Rudy ^b   Yoshida, Katsumi ^c  

^a MEIJI UNIVERSITY   (Japan)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c ST MARIANNA UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

Hepatobiliary disorders; Network pruning; Neural networks; NeuroLinear; NeuroRule; Rule extraction

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; PATIENT TREATMENT;

NETWORK PRUNING; RULE EXTRACTION;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DISEASE CLASSIFICATION; EXTRACTION; FEMALE; HEPATOBILIARY DISEASE; HUMAN; MALE; PRIORITY JOURNAL; SHORT SURVEY; TECHNIQUE;

EID: 0034333688     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(00)00064-6     Document Type: Article

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