Predictive models of medication non-adherence risks of patients with T2D based on multiple machine learning algorithms

OBJECTIVE: Medication adherence plays a key role in type 2 diabetes (T2D) care. Identifying patients with high risks of non-compliance helps individualized management, especially for China, where medical resources are relatively insufficient. However, models with good predictive capabilities have no...

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Detalles Bibliográficos
Autores principales: Wu, Xing-Wei, Yang, Heng-Bo, Yuan, Rong, Long, En-Wu, Tong, Rong-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Clinical Care/Education/Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064141/
https://www.ncbi.nlm.nih.gov/pubmed/32156739
http://dx.doi.org/10.1136/bmjdrc-2019-001055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064141/
https://www.ncbi.nlm.nih.gov/pubmed/32156739
http://dx.doi.org/10.1136/bmjdrc-2019-001055

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