A novel cardiovascular decision support framework for effective clinical risk assessment

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, Proceedings

Volumn , Issue , 2015, Pages 117-124

  Farooq, Kamran ^a   Karasek, Jan ^b   Atassi, Hicham ^b   Hussain, Amir ^a   Yang, Peipei ^c   Macrae, Calum ^d   Mahmud, Mufti ^a,e,f   Luo, Bin ^g   Slack, Warner ^h  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^c INSTITUTE OF AUTOMATION   (China)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e UNIVERSITY OF ANTWERP   (Belgium)

^f JAHANGIRNAGAR UNIVERSITY   (Bangladesh)

^g ANHUI UNIVERSITY   (China)

^h HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISEASES; HEART; HOSPITAL DATA PROCESSING; LEARNING SYSTEMS; MULTIVARIANT ANALYSIS; PATTERN RECOGNITION;

CLINICAL DECISION SUPPORT; DECISION SUPPORT FRAMEWORK; EXPECTATION-MAXIMISATION; MACHINE LEARNING METHODS; PERFORMANCE CAPABILITY; RISK ASSESSMENT MODELS; RISK PREDICTION MODELS; STATISTICAL CLASSIFIER;

RISK ASSESSMENT;

EID: 84922569335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICARE.2014.7007843     Document Type: Conference Paper

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