Bagmoov: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting

Australasian Physical and Engineering Sciences in Medicine

Volumn 38, Issue 2, 2015, Pages 305-323

  Bashir, Saba ^a   Qamar, Usman ^a   Hassan, Farhan ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Data mining; Ensemble classifier; Heart disease; Multi objective optimization; Prediction; Weighted voting

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; DATA MINING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISCRIMINANT ANALYSIS; DISEASES; FORECASTING; STATISTICAL METHODS;

CLINICAL DECISION SUPPORT SYSTEMS; ENSEMBLE CLASSIFIERS; EXPERIMENTAL EVALUATION; HEART DISEASE; HETEROGENEOUS CLASSIFIERS; PREDICTION AND ANALYSIS; QUADRATIC DISCRIMINANT ANALYSIS; WEIGHTED VOTING;

MULTIOBJECTIVE OPTIMIZATION;

ARTICLE; BAGMOOV MODEL; BOOTSTRAPPING; CONCEPTUAL FRAMEWORK; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; HEART DISEASE; INTERMETHOD COMPARISON; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS; ALGORITHM; ANALYSIS OF VARIANCE; CLINICAL DECISION SUPPORT SYSTEM; COMPUTER SYSTEM; DATA BASE; HEART DISEASES; HUMAN;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTER SYSTEMS; DATABASES AS TOPIC; DECISION SUPPORT SYSTEMS, CLINICAL; HEART DISEASES; HUMANS;

EID: 84943201883     PISSN: 01589938     EISSN: 18795447     Source Type: Journal    
DOI: 10.1007/s13246-015-0337-6     Document Type: Article

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