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TransformEHR:基于变压器的编码解码器生成模型,以提高使用电子健康记录预测疾病结果

Zhichao Yang1, Avijit Mitra1, Weisong Liu2,3

  • 1College of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, USA.

Nature communications
|November 29, 2023
PubMed
概括

使用电子健康记录 (EHR) 的深度学习模型TransformEHR实现了最先进的临床预测. 它的新预训练方法提高了疾病和结果的预测,特别是在故意自我伤害和胰腺癌方面.

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