Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes.

Xiaomin Fu,Yuhan Wang,Ryan S Cates,Nan Li,Jing Liu,Dianshan Ke,Jinghua Liu,Hongzhou Liu,Shuangtong Yan

Frontiers in endocrinology（2022）

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摘要

When it comes to future blood glucose level prediction using machine learning methods, XGBoost algorithm scores the highest in effectiveness. This algorithm could be applied to assist clinical decision making, as well as guide the lifestyle of diabetic patients, in pursuit of minimizing risks of hyperglycemic or hypoglycemic events.

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关键词

algorithms,blood glucose,machine learning,prediction model,type 2 diabetes

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