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Updated: Jan 23, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习预测药物遗传检测摄入量在使用电子健康记录的阿片类药物处方患者中:回顾性队列研究

Mohammad Yaseliani1, Je-Won Hong2, Jiang Bian3,4

  • 1Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 1 352-273-6276.

JMIR medical informatics
|January 21, 2026
PubMed
概括

机器学习模型可以预测阿片类药物使用者的药物遗传测试吸收率,识别可能受益于个性化疼痛管理的患者. 这有助于临床医生优化治疗决策并改善患者的治疗结果.

关键词:
ML ML 在 ML组合模型组合模型组合模型机器学习是机器学习.处方阿片类药物的处方在阿片类药物阿片类药物.疼痛管理 疼痛管理药物遗传学测试 药物遗传学测试 药物遗传学测试

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