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Novel Statistical Classification Model of Type 2 Diabetes Mellitus Patients for Tailor-made Prevention Using Data Mining Algorithm
To estimate the usefulness of data mining algorithms for extracting risk predictors of diabetic vascular complications in proper order in the future, we tried applying the Classification and Regression Trees (CART) method to the prevalence data of 165 type 2 diabetic outpatients and already known ri...
Autores principales: | Miyaki, Koichi, Takei, Izumi, Watanabe, Kenji, Nakashima, Hiroshi, Watanabe, Kiyoaki, Omae, Kazuyuki |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japan Epidemiological Association
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499476/ https://www.ncbi.nlm.nih.gov/pubmed/12164327 http://dx.doi.org/10.2188/jea.12.243 |
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