Tailored machine learning for evaluating the long-term diabetes risk in older individuals: findings from the Irish Longitudinal Study on Ageing (TILDA)

OBJECTIVES: The prevalence of diabetes has increased globally, leading to a significant disease burden and financial cost. Early prediction is crucial to control its prevalence. DESIGN: A prospective cohort study. SETTING: National representative study on Irish. PARTICIPANTS: 8504 individuals aged 5...

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Detalles Bibliográficos
Autores principales: Xu, Xuezhong, Mingyang, Xue, Yang, Jie, Zheng, Hailong, Che, Zhifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Diabetes and Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255035/
https://www.ncbi.nlm.nih.gov/pubmed/37253496
http://dx.doi.org/10.1136/bmjopen-2023-072991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255035/
https://www.ncbi.nlm.nih.gov/pubmed/37253496
http://dx.doi.org/10.1136/bmjopen-2023-072991

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