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Updated: Jan 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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针对冠状动脉疾病患者的综合机器学习支持的结果预测,使用多中心患者数据.

Emma Bogner1, Bryan Har2, Bing Li3

  • 1Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

The Canadian journal of cardiology
|December 20, 2025
PubMed
概括

机器学习模型使用广泛的数据和外部验证预测冠状动脉疾病 (CAD) 患者的结果. 这些模型提供了强大的,个性化的预后,以帮助治疗决策.

关键词:
临床决策支持 临床决策支持冠状动脉疾病是一种冠状动脉疾病.冠状动脉复血管化疗法机器学习是机器学习.预测患者的结果,预测患者的结果.预测建模预测建模

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