使

Safaa Dafrallah1, Moulay A Akhloufi1

  • 1Perception, Robotics and Intelligent Machines (PRIME), Department of Computer Science, Université de Moncton, Moncton, NB E1A 3E9, Canada.

PubMed
概括

使用临床笔记预测早期住院再接收风险可以降低成本并改善患者的治疗结果. 我们的新方法使用命名实体识别和机器学习来实现88.4%的准确性来识别有风险的患者.

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