Open access
Jul 2026
An interpretable machine learning model for predicting 1-year major adverse cardiovascular events in patients with type 2 diabetes and hypertension
An interpretable logistic regression model based on seven routine clinical variables showed relatively good internal performance for predicting 1-year composite MACE risk in hospitalized patients with coexisting T2DM and HTN.
Juan Lv, Xi-Rui Wang, Zhengyi Zhang
· Frontiers in Medicine · 0 citations