Exploratory analysis using machine learning of predictive factors for falls in type 2 diabetes

We aimed to investigate the status of falls and to identify important risk factors for falls in persons with type 2 diabetes (T2D) including the non-elderly. Participants were 316 persons with T2D who were assessed for medical history, laboratory data and physical capabilities during hospitalization...

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Detalles Bibliográficos
Autores principales: Suzuki, Yasuhiro, Suzuki, Hiroaki, Ishikawa, Tatsuya, Yamada, Yasunori, Yatoh, Shigeru, Sugano, Yoko, Iwasaki, Hitoshi, Sekiya, Motohiro, Yahagi, Naoya, Hada, Yasushi, Shimano, Hitoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279484/
https://www.ncbi.nlm.nih.gov/pubmed/35831378
http://dx.doi.org/10.1038/s41598-022-15224-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279484/
https://www.ncbi.nlm.nih.gov/pubmed/35831378
http://dx.doi.org/10.1038/s41598-022-15224-4

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