Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques

Early identification of individuals at high risk of diabetes is crucial for implementing early intervention strategies. However, algorithms specific to elderly Chinese adults are lacking. The aim of this study is to build effective prediction models based on machine learning (ML) for the risk of typ...

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Detalles Bibliográficos
Autores principales: Liu, Qing, Zhang, Miao, He, Yifeng, Zhang, Lei, Zou, Jingui, Yan, Yaqiong, Guo, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224915/
https://www.ncbi.nlm.nih.gov/pubmed/35743691
http://dx.doi.org/10.3390/jpm12060905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224915/
https://www.ncbi.nlm.nih.gov/pubmed/35743691
http://dx.doi.org/10.3390/jpm12060905

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