Novel statistical classification model of type 2 diabetes mellitus patients for tailor-made prevention using data mining algorithm

Journal of Epidemiology

Volumn 12, Issue 3, 2002, Pages 243-248

  Miyaki, Koichi ^a   Takei, Izumi ^a   Watanabe, Kenji ^a   Nakashima, Hiroshi ^a   Watanabe, Kiyoaki ^a   Omae, Kazuyuki ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

Classification and regression trees; Complications; Data mining; Tailor made prevention; Type 2 diabetes

Indexed keywords

ALGORITHM; ARTICLE; CLASSIFICATION; DIABETIC ANGIOPATHY; FEMALE; HUMAN; JAPAN; MALE; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PREVALENCE; RISK FACTOR; STATISTICAL MODEL;

ALGORITHMS; DIABETES MELLITUS, TYPE 2; DIABETIC ANGIOPATHIES; FEMALE; HUMANS; JAPAN; LOGISTIC MODELS; MALE; MIDDLE AGED; PREVALENCE; RISK FACTORS;

EID: 0036559582     PISSN: 09175040     EISSN: 13499092     Source Type: Journal    
DOI: 10.2188/jea.12.243     Document Type: Article

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