一个模块化管道自然语言处理选的人类抽象的实用试验结果从电子健康记录的模块化管道

Robert Y Lee1,2, Kevin S Li2,3, James Sibley2,4

  • 1Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington School of Medicine, Seattle, WA, USA.

PubMed
概括

我们开发了一个结合自然语言处理 (NLP) 和人体审查的可扩展系统,以准确地测量电子健康记录 (EHR) 的临床试验结果. 这一高效的管道改善了用于研究的数据抽象.

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