Anticoagulation management in intracerebral hemorrhage patients with deep vein thrombosis: insights from unsupervised machine learning and nomogram analysis

This study demonstrates that unsupervised machine learning, combined with a nomogram, can effectively stratify risk in ICH patients receiving anticoagulation. The risk assessment tool reliably identifies patients at lower risk of adverse outcomes, supporting safer and more individualized clinical decision-making.