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Updated: Sep 10, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习风险分层急诊室患者胸痛但没有急性心肌梗塞:多中心回顾分析

Eric H Chou1, Tsung-Chien Lu2,3, Yong-Tai Chiu4

  • 1Department of Emergency Medicine Baylor Scott and White All Saints Medical Center Fort Worth TX USA.

Journal of the American Heart Association
|August 23, 2025
PubMed
概括

一个新的机器学习模型准确地预测了急诊室患者胸部疼痛的主要不良心脏事件 (MACE). 这种工具有助于识别高风险个体及时介入,改善心脏护理结果.

关键词:
急性冠状动脉综合征胸部疼痛深度学习应急部门机器学习主要心脏不良事件心肌梗塞

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