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在急诊室识别阿片类药物过量剂量的增强表型访问电子健康记录数据

Ralph Ward1, Jihad S Obeid2, Lindsey Jennings3

  • 1Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, United States.

JAMIA open
|March 15, 2024
PubMed
概括

通过新的机器学习模型,在电子医疗记录 (EHR) 中准确识别阿片类药物过量 (OOD) 病例得到了改进. 这些模型增强了对OOD预测的监测和临床决策支持.

关键词:
电子现象型电子现象型过量使用阿片类药物.预测模型 预测模型

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