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基于电子健康记录预测药物不良事件的机器学习:系统性审查和元分析

Qiaozhi Hu1,2, Jiafeng Li3, Xiaoqi Li2

  • 1Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

The Journal of international medical research
|December 13, 2024
PubMed
概括

机器学习模型可以使用电子健康记录 (EHR) 预测多种药物不良事件 (ADEs). 随机森林模型显示出希望,但需要进一步的研究来临床应用.

关键词:
进行元分析分析.药物不良事件是药物不良事件.电子健康记录 电子健康记录机器学习是机器学习.预测模型 预测模型系统性审查 系统性审查

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