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Updated: Jan 10, 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

Published on: October 10, 2018

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使用机器学习来预测未来的寄养家庭入学情况

Ari Ne'eman1, Alex Brooks2, Kellie Hans-Green2

  • 1Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.

Health affairs scholar
|November 21, 2025
PubMed
概括

使用健康社会决定因素 (SDOH) 数据的机器学习模型可以预测有寄养入学风险的儿童,从而使早期干预成为可能. 与没有SDOH因子的模型相比,这种方法显著提高了预测准确性.

关键词:
儿童福利 儿童福利寄养家庭的关怀 寄养家庭的关怀预测分析 预测分析

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