A novel ontology and machine learning inspired hybrid cardiovascular decision support framework

Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015

Volumn , Issue , 2015, Pages 824-832

  Hussain, Amir ^a   Farooq, Kamran ^b   Luo, Bin ^b   Slack, Warner ^c  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b ANHUI UNIVERSITY   (China)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; COST EFFECTIVENESS; DECISION MAKING; DIAGNOSIS; DISEASES; HEALTH; HEALTH CARE; HEART; HOSPITAL DATA PROCESSING; HOSPITALS; INFORMATION MANAGEMENT; INFORMATION USE; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MACHINE COMPONENTS; MEDICAL INFORMATION SYSTEMS; PATIENT TREATMENT; RECOMMENDER SYSTEMS; RISK ASSESSMENT; SURVEYS;

CLINICAL DECISION SUPPORT; CLINICAL PRACTICE GUIDELINES; CLINICAL VALIDATIONS; CONTEXT-AWARE INFORMATIONS; DECISION SUPPORT FRAMEWORK; ELECTRONIC HEALTHCARE RECORDS; HEALTH-CARE SYSTEM; INFORMATION MANAGEMENT SYSTEMS;

DECISION SUPPORT SYSTEMS;

EID: 84964937694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSCI.2015.122     Document Type: Conference Paper

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