Systemic inflammation and family history in relation to the prevalence of type 2 diabetes based on an alternating decision tree

To investigate unknown patterns associated with type 2 diabetes in the Japanese population, we first used an alternating decision tree (ADTree) algorithm, a powerful classification algorithm from data mining, for the data from 1,102 subjects aged 35–69 years. On the basis of the investigated pattern...

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Detalles Bibliográficos
Autores principales: Uemura, Hirokazu, Ghaibeh, A. Ammar, Katsuura-Kamano, Sakurako, Yamaguchi, Miwa, Bahari, Tirani, Ishizu, Masashi, Moriguchi, Hiroki, Arisawa, Kokichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374531/
https://www.ncbi.nlm.nih.gov/pubmed/28361994
http://dx.doi.org/10.1038/srep45502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374531/
https://www.ncbi.nlm.nih.gov/pubmed/28361994
http://dx.doi.org/10.1038/srep45502

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