Novel approaches for predicting risk factors of atherosclerosis

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 1, 2013, Pages 183-189

  Sree Hari Rao, V ^a   Naresh Kumar, M ^b  

^a INSTITUTE FOR DEVELOPMENT AND RESEARCH IN BANKING TECHNOLOGY   (India)

^b National Remote Sensing Centre (ISRO)   (India)

Author keywords

Atherosclerosis; Classification; Decision trees; Feature selection; Imputation; Particle swarm optimization (PSO); Prediction; Risk factors

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; DISEASES; FEATURE EXTRACTION; FORECASTING; HEART; IMAGING TECHNIQUES; MACHINE LEARNING; METABOLISM; PARTICLE SWARM OPTIMIZATION (PSO);

ATHEROSCLEROSIS; ATHEROSCLEROTIC PLAQUE; CORONARY HEART DISEASE; IDENTIFICATION OF RISKS; IMPUTATION; MACHINE LEARNING TECHNIQUES; RISK FACTORS; SUDDEN CARDIAC ARREST;

RISK PERCEPTION;

ARTICLE; ATHEROSCLEROSIS; COMPUTER SIMULATION; DECISION TREE; FACTUAL DATABASE; HUMAN; MALE; MIDDLE AGED; REPRODUCIBILITY; RISK FACTOR; STATISTICAL MODEL;

ATHEROSCLEROSIS; COMPUTER SIMULATION; DATABASES, FACTUAL; DECISION TREES; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; RISK FACTORS;

EID: 84885151514     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2227271     Document Type: Article

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