Evolutionary algorithms for multiobjective and multimodal optimization of diagnostic schemes

IEEE Transactions on Biomedical Engineering

Volumn 53, Issue 2, 2006, Pages 178-189

  De Toro, Francisco ^a,b   Ros, Eduardo ^b   Mota, Sonia ^b,c   Ortega, Julio ^b  

^a Telematics and Communications   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

^c University of Granada ^*  (Spain)

Author keywords

Evolutionary algorithms; Multiobjective and multimodal optimization; Noninvasive medical diagnosis; Paroxysmal atrial fibrillation

Indexed keywords

BIOSIGNALS; MULTIOBJECTIVE AND MULTIMODAL OPTIMIZATION; NONINVASIVE MEDICAL DIAGNOSTIC; PAROXYMAL ATRIAL FIBRILLIATION;

BIOELECTRIC POTENTIALS; CARDIOLOGY; DIAGNOSIS; EVOLUTIONARY ALGORITHMS; MEDICAL APPLICATIONS;

OPTIMIZATION;

ALGORITHM; ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; HEART ATRIUM FIBRILLATION; HEART DISEASE; MATHEMATICAL COMPUTING; MEDICAL SPECIALIST; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATRIAL FIBRILLATION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; FACTOR ANALYSIS, STATISTICAL; HUMANS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 31544451043     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2005.862539     Document Type: Article

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