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Use of commercially available natural language processing software to identify bleeding from the medical record
medRxiv - Cardiovascular Medicine Pub Date : 2021-11-19 , DOI: 10.1101/2021.11.19.21266586
Andrew L. Walker , Cheri Watson , Ryan Butcher , Zameer Abedin , Mark Yandell , Rashmee U. Shah

Background Real-world evidence derived from the electronic medical record (EMR) is increasingly prevalent. How best to ascertain cardiovascular outcomes from EMRs is unknown. We sought to validate a commercially available natural language processing (NLP) software to extract bleeding events.

中文翻译:

使用市售的自然语言处理软件从病历中识别出血

背景来自电子病历 (EMR) 的真实世界证据越来越普遍。如何最好地从 EMR 确定心血管结果尚不清楚。我们试图验证商业上可用的自然语言处理 (NLP) 软件来提取出血事件。
更新日期:2021-11-22
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