Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms

Fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c) are key indicators reflecting blood glucose control in type 2 diabetes mellitus (T2DM) patients. The purpose of this study is to establish a predictive model for blood glucose changes in T2DM patients after 3 months of treatment, achiev...

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Detalles Bibliográficos
Autores principales: Tao, Xue, Jiang, Min, Liu, Yumeng, Hu, Qi, Zhu, Baoqiang, Hu, Jiaqiang, Guo, Wenmei, Wu, Xingwei, Xiong, Yu, Shi, Xia, Zhang, Xueli, Han, Xu, Li, Wenyuan, Tong, Rongsheng, Long, Enwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543442/
https://www.ncbi.nlm.nih.gov/pubmed/37777593
http://dx.doi.org/10.1038/s41598-023-43240-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543442/
https://www.ncbi.nlm.nih.gov/pubmed/37777593
http://dx.doi.org/10.1038/s41598-023-43240-5

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