Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes

Background: Glycosylated hemoglobin (HbA1c) is recommended for diagnosing and monitoring type 2 diabetes. However, the monitoring frequency in real-world applications has not yet reached the recommended frequency in the guidelines. Developing machine learning models to screen patients with poor glyc...

Descripción completa

Detalles Bibliográficos
Autores principales: Tong, Yi-Tong, Gao, Guang-Jie, Chang, Huan, Wu, Xing-Wei, Li, Meng-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347387/
https://www.ncbi.nlm.nih.gov/pubmed/37456748
http://dx.doi.org/10.3389/fphar.2023.1216182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347387/
https://www.ncbi.nlm.nih.gov/pubmed/37456748
http://dx.doi.org/10.3389/fphar.2023.1216182

Ejemplares similares