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Xiankai Chen

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Open access Jul 2026

A machine learning-based risk prediction model for Hospitalized patients with deep vein thrombosis

An internally validated ML model for early DVT risk prediction using seven routine clinical variables was developed and identified D-dimer as the most influential predictor; Random Forest achieved the best performance and identified D-dimer as the most influential predictor.

Xue Wang, Xiankai Chen, Jun Mao et al. · PeerJ · 0 citations