Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record-Based Machine Learning: Development and Validation.

Hao Yang Jiaxi Li Siru Liu Xiaoling Yang Jialin Liu

Published in: JMIR medical informatics (2022)

The Paragraph Vector-Distributed Memory model can effectively extract features and improve the performance of the XGBoost model, which can then effectively predict hypoglycemia in patients with type 2 diabetes.

Keyphrases

electronic health record
machine learning
type diabetes
clinical decision support
glycemic control
oxidative stress
working memory
artificial intelligence
metabolic syndrome
deep learning
adverse drug
insulin resistance