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Updated: Feb 27, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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贝叶斯机器学习模型指导代,个性化抗凝剂剂量决策:ENGAGE AF-TIMI 48试验分析

C Michael Gibson1, Cathy Chen2, Jacqueline Buros-Novik3

  • 1Baim Institute for Clinical Research, Harvard Medical School, Boston, Massachusetts, USA.

JACC. Advances
|February 26, 2026
PubMed
概括

一个新的贝叶斯式机器学习模型,Adele,通过预测风险并根据个人对中风,出血和死亡的偏好优化edoxaban剂量,为心房患者提供个性化的抗凝药. 与标准方法相比,这种方法可以提高风险预测的准确性.

关键词:
人工智能的人工智能是人工智能.心房动是心房动的一种.这是一种直接的口服抗凝剂.埃多克萨班 (EDOXABAN) 是一种患者的中心性.药物动力学 药物动力学

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