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合作双重医疗本体学代表性学习,用于临床辅助决策

Muhao Xu1, Zhenfeng Zhu1, Youru Li1

  • 1Institute of Information Science, Beijing Jiaotong University, Beijing, China; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China.

Computers in biology and medicine
|June 17, 2023
PubMed
概括

这项研究引入了一个新的框架,用于使用电子健康记录 (EHR) 预测临床事件. 合作的双重医学本体学表示学习模型增强了个性化医疗保健的诊断和程序预测.

关键词:
电子健康记录是电子健康记录.医学本体学是一个医学本体学.多任务学习是多任务学习.预测 预测 预测代表性的学习学习.

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