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Updated: Jun 24, 2025

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一个机器学习应用程序来分类患有不同水平的阿片类药物使用障碍风险的患者:基于临床医生的验证研究

Tewodros Eguale1,2, François Bastardot3,4, Wenyu Song2,5

  • 1School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, United States.

JMIR medical informatics
|June 6, 2024
PubMed
概括

机器学习 (ML) 有效地识别了面临阿片类药物使用障碍 (OUD) 风险的患者,与临床医生评论有很好的一致性. 这项技术有望增强阿片类药物安全警报和临床决策.

关键词:
在这里,我们可以看到AIAIAI.欧洲人权理事会 欧洲人权理事会这是一个OUD,OUD.人工智能的人工智能是人工智能.临床决定是临床决定.临床决策支持 临床决策支持决策是做出决策的过程.决策支持提供了决策支持.使用毒品使用毒品.电子健康记录 电子健康记录机器学习是机器学习.药物治疗 药物治疗药物的安全性 药物的安全性模型验证模型验证阿片类药物的安全性使用阿片类药物使用."阿片类药物使用障碍"与阿片类药物相关的疾病.患者药物安全 患者药物安全患者安全 患者安全

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