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使用基于异质医疗数据的机器学习的ED患者的临床预测和临床部门预测

Yi Xiao1, Jun Zhang1, Cheng Chi2

  • 1The State Key Laboratory of Digital Medical Engineering, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China.

Computers in biology and medicine
|September 2, 2023
PubMed
概括

这项研究引入了人工智能模型,TransNet和TextRNN,以提高急诊室 (ED) 选准确度. 这些模型减少了不足和过多的选,提高了患者的护理和资源配置.

关键词:
应急部门的紧急情况.功能融合的特点是:不同质的医疗数据.机器学习 机器学习测量三级是什么意思

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