Syndromes diagnostic model for coronary artery disease (CAD): An improved naïve Bayesian classification model based on attribute relevancy

2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017

Volumn , Issue , 2017, Pages 897-902

  Lei, Kai ^a   Zhang, Lizhu ^a   Shen, Ying ^a   Huang, Xiaohui ^b   Wu, Jincheng ^b  

^a PEKING UNIVERSITY   (China)

^b National Supercomputing Center in Shenzhen   (China)

Author keywords

attribute relevancy; coronary artery disease; decision support; diagnostic classification; Na ve Bayes; negative symptoms

Indexed keywords

BIG DATA; DATA HANDLING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; INFORMATION ANALYSIS; PROBABILITY; SODIUM;

ATTRIBUTE RELEVANCY; BAYESIAN CLASSIFICATION MODELS; CLINICAL DECISION SUPPORT; CORONARY ARTERY DISEASE; DECISION SUPPORTS; DESIGN AND IMPLEMENTATIONS; DISEASE CLASSIFICATION; NEGATIVE SYMPTOMS;

DISEASES;

EID: 85039981917     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBDA.2017.8078768     Document Type: Conference Paper

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