A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare

International Journal of Production Research

Volumn 53, Issue 24, 2015, Pages 7517-7532

  Priya, Mohan ^a   Ranjith Kumar, Paulraj ^b  

^a Smart Electrotech ^*  (India)

^b P S R ENGINEERING COLLEGE   (India)

Author keywords

atherosclerosis; comparison; decision tree forest algorithm (DTFA); fast correlation based filter (FCBF); iterative principal component analysis (IPCA)

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION TREES; DISEASES; FORESTRY; ITERATIVE METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

ATHEROSCLEROSIS; CLINICAL OBSERVATION; COMPARISON; FAST CORRELATION-BASED FILTER (FCBF); FEATURE SUBSET SELECTION METHODS; ITERATIVE PRINCIPAL COMPONENT ANALYSIS (IPCA); MACHINE LEARNING TECHNIQUES; MISSING VALUE IMPUTATION;

BIG DATA;

EID: 84941248522     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2015.1087655     Document Type: Article

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