Diagnosis of Diabetes Diseases Using An Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest neighbor

Journal of Medical Systems

Volumn 36, Issue 5, 2012, Pages 2721-2729

  Chikh, Mohamed Amine ^a   Saidi, Meryem ^a   Settouti, Nesma ^a  

^a UNIVERSITY OF TLEMCEN   (Algeria)

Author keywords

AIRS2; Diagnosis; Fuzzy k nearest neighbors; Pima Indians diabetes data set

Indexed keywords

DRUG; GLUCOSE; INSULIN;

ALGORITHM; ANTIGEN RECOGNITION; ARTICLE; ARTIFICIAL IMMUNE RECOGNITION SYSTEM 2; ARTIFICIAL INTELLIGENCE; BODY MASS; DECISION SUPPORT SYSTEM; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; DIASTOLIC BLOOD PRESSURE; DISEASE CLASSIFICATION; FUZZY LOGIC; GLUCOSE BLOOD LEVEL; HUMAN; INDIAN; INSULIN BLOOD LEVEL; K NEAREST NEIGHBOR; MAJOR CLINICAL STUDY; MEMORY CELL; NON INSULIN DEPENDENT DIABETES MELLITUS; ORAL GLUCOSE TOLERANCE TEST; SENSITIVITY AND SPECIFICITY; SKINFOLD THICKNESS; AGE; AMERICAN INDIAN; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BLOOD PRESSURE; BODY SIZE; CELL FUNCTION; CLASSIFICATION; METHODOLOGY; UNITED STATES;

AGE FACTORS; ARIZONA; BLOOD GLUCOSE; BLOOD PRESSURE; BODY SIZE; CELL PHYSIOLOGICAL PHENOMENA; DIABETES MELLITUS, TYPE 2; FUZZY LOGIC; HUMANS; INDIANS, NORTH AMERICAN; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 84867298235     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9748-4     Document Type: Article

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