Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm

Computer Methods and Programs in Biomedicine

Volumn 112, Issue 1, 2013, Pages 92-103

  Beloufa, Fayssal ^a   Chikh, M A ^a  

^a UNIVERSITY OF TLEMCEN   (Algeria)

Author keywords

Artificial Bee Colony; Diabetes disease; Fuzzy rules; Interpretable classification

Indexed keywords

10-FOLD CROSS-VALIDATION; ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; ARTIFICIAL BEE COLONY ALGORITHMS (ABC); ARTIFICIAL INTELLIGENCE TECHNIQUES; CLASSIFICATION RATES; SENSITIVITY AND SPECIFICITY; UCI MACHINE LEARNING REPOSITORY;

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; FUZZY RULES; FUZZY SETS;

DIAGNOSIS;

ARTICLE; ARTIFICIAL BEE COLONY ALGORITHM; ARTIFICIAL INTELLIGENCE; DIABETES MELLITUS; FUZZY SYSTEM; GENETIC ALGORITHM; MACHINE LEARNING; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ARTIFICIAL BEE COLONY; DIABETES DISEASE; FUZZY RULES; INTERPRETABLE CLASSIFICATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; DIABETES MELLITUS; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; SOFTWARE DESIGN;

EID: 84883746011     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.07.009     Document Type: Article

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