Discovering medical knowledge using association rule mining in young adults with acute myocardial infarction

Journal of Medical Systems

Volumn 37, Issue 2, 2013, Pages

  Lee, Dong Gyu ^a   Ryu, Kwang Sun ^a   Bashir, Mohamed ^a   Bae, Jang Whan ^a   Ryu, Keun Ho ^a  

^a Chungbuk National University   (South Korea)

Author keywords

Acute myocardial infarction; Association rule mining; Diabetes; Hypertension; Knowledge discovery; Medical database

Indexed keywords

C REACTIVE PROTEIN; CREATININE; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ACUTE HEART INFARCTION; ADULT; ARTICLE; ATHEROSCLEROSIS; BLOOD GROUP; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CREATININE BLOOD LEVEL; DATA MINING; DIABETES MELLITUS; DISEASE ASSOCIATION; FEMALE; GENETIC ALGORITHM; HUMAN; HUMAN TISSUE; HYPERLIPIDEMIA; HYPERTENSION; KNOWLEDGE; KNOWLEDGE DISCOVERY; KOREA; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; PERCUTANEOUS CORONARY INTERVENTION; PREGNANT WOMAN; SMOKING; TRIACYLGLYCEROL BLOOD LEVEL; ALGORITHM; FACTUAL DATABASE; INFORMATION PROCESSING; MYOCARDIAL INFARCTION; PROCEDURES; REGISTER; SOUTH KOREA; STATISTICS AND NUMERICAL DATA;

ADULT; ALGORITHMS; DATA MINING; DATABASES, FACTUAL; DATASETS AS TOPIC; FEMALE; HUMANS; MALE; MYOCARDIAL INFARCTION; REGISTRIES; REPUBLIC OF KOREA;

EID: 84872106776     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-012-9896-1     Document Type: Article

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