Open access
Aug 2026
Machine learning–based prediction of in-hospital deep vein thrombosis in patients with acute ischemic stroke: a multicenter study
Machine learning models demonstrated favorable performance for predicting in-hospital DVT after AIS, and SVM showed the most favorable overall performance, whereas XGBoost prioritized sensitivity.
Tie-Shi Zhu, Run-Zhui Lin, Le Zhao et al.
· Frontiers in Neurology · 0 citations