Predicting the 2-Year Risk of Progression from Prediabetes to Diabetes Using Machine Learning among Chinese Elderly Adults

Identifying people with a high risk of developing diabetes among those with prediabetes may facilitate the implementation of a targeted lifestyle and pharmacological interventions. We aimed to establish machine learning models based on demographic and clinical characteristics to predict the risk of...

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Detalles Bibliográficos
Autores principales: Liu, Qing, Zhou, Qing, He, Yifeng, Zou, Jingui, Guo, Yan, Yan, Yaqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324396/
https://www.ncbi.nlm.nih.gov/pubmed/35887552
http://dx.doi.org/10.3390/jpm12071055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324396/
https://www.ncbi.nlm.nih.gov/pubmed/35887552
http://dx.doi.org/10.3390/jpm12071055

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