Reduced-rule based expert system by the simplification of logic functions for the diagnosis of diabetes

Computers in Biology and Medicine

Volumn 41, Issue 6, 2011, Pages 350-356

  Başçiftçi, Fatih ^a   Hatay, Ömer Faruk ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Boolean function simplification method; Decision support; Diagnosis of diabetes disease; Expert systems; Reduced rule base

Indexed keywords

ACCURACY RATE; DECISION SUPPORT; DIABETES PATIENTS; ENDOCRINE DISEASE; LOGIC FUNCTIONS; MEDICAL EXPERT SYSTEM; METABOLIC DISORDERS; MINIMIZATION METHODS; REDUCED-RULE BASE; SIMPLIFICATION METHOD; TRUTH TABLES;

DECISION SUPPORT SYSTEMS; DECISION TABLES; DIAGNOSIS; EXPERT SYSTEMS;

BOOLEAN FUNCTIONS;

ADULT; AGED; ARTICLE; CHILD; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EXPERT SYSTEM; FEMALE; HUMAN; INFORMATION SCIENCE; INSULIN DEPENDENT DIABETES MELLITUS; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PREGNANCY; PREGNANCY DIABETES MELLITUS; PRIORITY JOURNAL; SCHOOL CHILD; TASK PERFORMANCE;

ADOLESCENT; ADULT; AGED; ALGORITHMS; CHILD; DECISION SUPPORT SYSTEMS, CLINICAL; DIABETES MELLITUS; FEMALE; HUMANS; LOGIC; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS;

EID: 79956295588     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.03.012     Document Type: Article

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