机器学习模型如何改善房颤患者的中风风险预测——比传统评分更精准

MedAI Digest (ZH)
MedAI Digest (ZH)
机器学习模型如何改善房颤患者的中风风险预测——比传统评分更精准
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一项来自台湾的多中心研究开发了基于机器学习的中风风险预测模型，在新诊断房颤患者的风险分层中显著优于现有的CHA₂DS₂-VASc评分，有望改进临床决策和个体化抗凝血治疗策略。

Original paper: Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation. — NPJ digital medicine. 10.1038/s41746-026-02470-3

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