Active subgroup mining: A case study in coronary heart disease risk group detection

Artificial Intelligence in Medicine

Volumn 28, Issue 1, 2003, Pages 27-57

  Gamberger, Dragan ^a   Lavrač, Nada ^b   Krstačić, Goran ^c  

^a RUDER BO KOVI INSTITUTE   (Croatia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c Institute for Cardiovascular Prevention and Rehabilitation   (Croatia)

Author keywords

Active mining; Coronary heart disease; Machine learning; Non invasive cardiovascular tests; Risk group detection; Subgroup discovery

Indexed keywords

BIOLOGICAL ORGANS; DATA ACQUISITION; DISEASE CONTROL;

DATA GATHERING;

ARTIFICIAL INTELLIGENCE;

CHOLESTEROL;

ADULT; ARTICLE; BODY HEIGHT; BODY MASS; BODY WEIGHT; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CLINICAL ARTICLE; DATA ANALYSIS; FAMILY HISTORY; FEMALE; HIGH RISK POPULATION; HUMAN; INFORMATION PROCESSING; ISCHEMIC HEART DISEASE; LIFESTYLE; MALE; MEDICAL RECORD; PRIORITY JOURNAL; RISK FACTOR; SCREENING; ST SEGMENT; STATISTICAL ANALYSIS;

EID: 0038500689     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(03)00034-4     Document Type: Article

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