Identification of metabolic syndrome using decision tree analysis

Diabetes Research and Clinical Practice

Volumn 90, Issue 1, 2010, Pages

  Worachartcheewan, Apilak ^a   Nantasenamat, Chanin ^a   Isarankura Na Ayudhya, Chartchalerm ^a   Pidetcha, Phannee ^a   Prachayasittikul, Virapong ^a  

^a MAHIDOL UNIVERSITY   (Thailand)

Author keywords

Cardiovascular diseases; Data mining; Decision tree; Diabetes; Health status; Metabolic syndrome

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DIASTOLIC BLOOD PRESSURE; DISEASE CLASSIFICATION; FEMALE; GLUCOSE BLOOD LEVEL; HEALTH STATUS; HIGH RISK POPULATION; HUMAN; MALE; METABOLIC SYNDROME X; PREDICTION; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYSTOLIC BLOOD PRESSURE; THAILAND; URBAN POPULATION;

ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION MAKING, COMPUTER-ASSISTED; DECISION TREES; HUMANS; MEDICAL RECORDS; METABOLIC SYNDROME X; PREDICTIVE VALUE OF TESTS; RISK FACTORS; THAILAND;

EID: 77956191875     PISSN: 01688227     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.diabres.2010.06.009     Document Type: Article

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