Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes

• Main Authors: Yuting Fan (Author), Enwu Long (Author), Lulu Cai (Author), Qiyuan Cao (Author), Xingwei Wu (Author), Rongsheng Tong (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Purpose: The objective of this study was to evaluate the efficacy of machine learning algorithms in predicting risks of complications and poor glycemic control in nonadherent type 2 diabetes (T2D).Materials and Methods: This study was a real-world study of the complications and blood glucose prognos...