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Updated: Jan 12, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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功能组合对机器学习模型的影响,用于医院死亡率预测

Eline Stenwig1, Pierluigi Salvo Rossi2, Giampiero Salvi2

  • 1Department of Circulation and Medical Imaging, The Norwegian University of Science and Technology, Trondheim, Norway. eline.stenwig@ntnu.no.

Scientific reports
|November 7, 2025
PubMed
概括

机器学习模型可以使用各种特征集来预测患者的结果. 虽然年龄是有影响力的,但多种特征的组合可以在预测医院死亡率方面实现类似的性能.

关键词:
欧洲资产投资委员会 (EICU)可以解释的可解释性.功能选择 功能选择机器学习 机器学习预测死亡率的预测.在SHAP中,价值是SHAP值.在XAI,XAI就是XAI.在XGBoost中使用.

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