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Updated: May 5, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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开发和验证机器学习算法来预测OneFlorida+患者中发生阿片类药物使用障碍的风险:预后建模研究

Jabed Al Faysal1,2, Weihsuan Lo-Ciganic3,4,5, Walid F Gellad3,4

  • 1Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603.

Journal of medical Internet research
|March 11, 2026
PubMed
概括

机器学习模型可以预测开始阿片类药物治疗的患者的阿片类药物使用障碍 (OUD) 风险. 这种方法增强了对OUD的早期识别和干预,这是一个关键的公共卫生问题.

关键词:
一个佛罗里达州+通过外部验证.机器学习是机器学习."阿片类药物使用障碍"风险分层的风险分层.

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