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...

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Detalles Bibliográficos
Autores principales: Miyaki, Koichi, Takei, Izumi, Watanabe, Kenji, Nakashima, Hiroshi, Watanabe, Kiyoaki, Omae, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2007
Materias:
Original Article
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

Internet

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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