Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study

BACKGROUND: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for diabetes screening in community and primary care s...

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Detalles Bibliográficos
Autores principales: Liu, XiaoHuan, Zhang, Weiyue, Zhang, Qiao, Chen, Long, Zeng, TianShu, Zhang, JiaoYue, Min, Jie, Tian, ShengHua, Zhang, Hao, Huang, Hantao, Wang, Ping, Hu, Xiang, Chen, LuLu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742532/
https://www.ncbi.nlm.nih.gov/pubmed/36518245
http://dx.doi.org/10.3389/fendo.2022.1043919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742532/
https://www.ncbi.nlm.nih.gov/pubmed/36518245
http://dx.doi.org/10.3389/fendo.2022.1043919

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