M4CVD: Mobile machine learning model for monitoring cardiovascular disease

Procedia Computer Science

Volumn 63, Issue , 2015, Pages 384-391

  Boursalie, Omar ^a   Samavi, Reza ^a   Doyle, Thomas E ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Cardiovascular disease; CVD; Data mining; EHR; Machine learning; Mobile device; Remote patient monitoring; Support vector machine; SVM; Wearable system

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; CHEMICAL VAPOR DEPOSITION; CLASSIFICATION (OF INFORMATION); DATA MINING; DATABASE SYSTEMS; DISEASES; HEALTH CARE; HEALTH RISKS; LEARNING SYSTEMS; MOBILE DEVICES; PATIENT MONITORING; RISK ASSESSMENT; SUPPORT VECTOR MACHINES; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

CARDIO-VASCULAR DISEASE; CLINICAL DATABASE; EHR; HEALTH CARE PROFESSIONALS; PROOF OF CONCEPT; SVM; WEARABLE SYSTEMS; WORK IN PROGRESS;

REMOTE PATIENT MONITORING;

EID: 84954168720     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.08.357     Document Type: Conference Paper

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