COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

• Published in: ArXiv.org
• Main Authors: Wang, Jingqi, Abu-El-Rub, Noor, Gray, Josh, Pham, Huy Anh, Zhou, Yujia, Manion, Frank, Liu, Mei, Song, Xing, Xu, Hua, Rouhizadeh, Masoud, Zhang, Yaoyun
• Format: Journal Article
• Language: English
• Published: United States 13.07.2020

The COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from free text in electronic health records (EHRs) will be valuable to accelerate COVID-19 clinical research. To this end, this...