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Updated: Jan 30, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习方法来预测关节骨折发生率:来自CHARLS数据集的见解

Yuexin Li1, Yihua Shi1

  • 1Department of Orthopaedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.

Frontiers in public health
|January 29, 2026
PubMed
概括

一个新的机器学习模型准确地预测了老年人的关节骨折风险,使用活动水平和睡眠等因素. 这个工具可以帮助识别高风险个体,用于早期干预和预防策略.

关键词:
查尔斯查尔斯查尔斯查尔斯查尔斯查尔斯在SHAP分析中,我们分析了SHAP.部骨折 骨折 部骨折 骨折机器学习是机器学习.预测模型是一个预测模型.

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