Author

He Zhu

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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