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Updated: Jun 15, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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应用机器学习用于处方支持:在重症监护病房中使用未分离的肝素的用例

Boris Delange1,2, Guillaume Bouzille1, Isabelle Gouin3

  • 1CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

机器学习模型可以使用抗Xa水平预测未分离的肝素剂量错误. 这些基于随机森林和XGB算法的工具旨在提高重症监护病房的患者安全.

关键词:
临床决策支持系统在重症监护病房的重症监护病房.机器学习是机器学习.

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Hemostasis is a crucial process that prevents excessive blood loss from damaged blood vessels. It involves various mechanisms such as vasoconstriction, platelet adhesion and activation, and fibrin formation. The importance of each mechanism depends on the type of vessel injury. In contrast, thrombosis is the abnormal formation of a blood clot within the blood vessels, leading to potential complications if the clot obstructs blood flow. Thrombosis can be caused by increased coagulability of the...
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