Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics

BACKGROUND: Medication adherence is the main determinant of effective management of type 2 diabetes, yet there is no gold standard method available to screen patients with high-risk non-adherence. Developing machine learning models to predict high-risk non-adherence in patients with T2D could optimi...

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Detalles Bibliográficos
Autores principales: Li, Mengting, Lu, Xiangyu, Yang, HengBo, Yuan, Rong, Yang, Yong, Tong, Rongsheng, Wu, Xingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714465/
https://www.ncbi.nlm.nih.gov/pubmed/36466490
http://dx.doi.org/10.3389/fpubh.2022.1000622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714465/
https://www.ncbi.nlm.nih.gov/pubmed/36466490
http://dx.doi.org/10.3389/fpubh.2022.1000622

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