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

• Published in: Frontiers in pharmacology Vol. 14; p. 1216182
• Main Authors: Tong, Yi-Tong, Gao, Guang-Jie, Chang, Huan, Wu, Xing-Wei, Li, Meng-Ting
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 30.06.2023
• Subjects: glycosylated hemoglobin; machine learning; model benefit; Pharmacology; prediction models; type 2 diabetes; prediction models; type 2 diabetes; glycosylated hemoglobin; machine learning; model benefit

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...