Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees

Conferences in Research and Practice in Information Technology Series

Volumn 121, Issue , 2010, Pages 11-22

  Van, Alina ^a   Gay, Valerie C ^a   Kennedy, Paul J ^a   Barin, Edward ^b   Leijdekkers, Peter ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b ROYAL NORTH SHORE HOSPITAL   (Australia)

Author keywords

Balanced sampling; Cardiac rehabilitation; Decision trees; Feature selection; Random forests

Indexed keywords

CARDIO-VASCULAR DISEASE; CARDIO-VASCULAR RISK FACTORS; CHOLESTEROL LEVELS; DATA SETS; HIGH-RISK PATIENTS; IMBALANCED CLASS; LARGE AMOUNTS OF DATA; PERFORMANCE RISK; PHASE II; PREDICTION RULES; RANDOM FORESTS; REHABILITATION PROGRAMS; RISK FACTORS; RISK OF FAILURE; WALK TESTS;

DECISION TREES; FEATURE EXTRACTION; FORESTRY; HEART; HOSPITALS; INFORMATION TECHNOLOGY; PHYSIOLOGY;

PATIENT REHABILITATION;

AUSTRALIA; DECISION THEORY; EXPERIMENTATION; HOSPITALS; INFORMATION RETRIEVAL; OPTIMIZATION; PHYSIOLOGY; RANDOM PROCESSES; SAMPLING;

EID: 84870496662     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

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