Evolutionary support vector machines for diabetes mellitus diagnosis

IEEE Intelligent Systems

Volumn , Issue , 2006, Pages 182-187

  Stoean, Ruxandra ^a   Stoean, Catalin ^a   Preuss, Mike ^b   El Darzi, Elia ^c   Dumitrescu, D ^d  

^a UNIVERSITY OF CRAIOVA   (Romania)

^b TU DORTMUND UNIVERSITY   (Germany)

^c UNIVERSITY OF WESTMINSTER   (United Kingdom)

^d BABE BOLYAI UNIVERSITY   (Romania)

Author keywords

Binary classification; Diabetes mellitus; Evolutionary algorithms; Support vector machines

Indexed keywords

CONSTRAINED OPTIMIZATION; EVOLUTIONARY ALGORITHMS; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES; VECTORS;

BENCH-MARK PROBLEMS; BINARY CLASSIFICATION; CONSTRAINED OPTIMI-ZATION PROBLEMS; DIABETES MELLITUS; DIABETES MELLITUS DIAGNOSIS; LEARNING PARADIGMS; LEARNING TECHNIQUES; SUPPORT VECTOR MACHINE (SVMS);

COMPUTER AIDED DIAGNOSIS;

EID: 34548789003     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/IS.2006.348414     Document Type: Conference Paper

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