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

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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...

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Detalles Bibliográficos
Autores principales: Wang, Jingqi, Abu-el-Rub, Noor, Gray, Josh, Pham, Huy Anh, Zhou, Yujia, Manion, Frank J., Liu, Mei, Song, Xing, Xu, Hua, Rouhizadeh, Masoud, Zhang, Yaoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Brief Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989301/
https://www.ncbi.nlm.nih.gov/pubmed/33674830
http://dx.doi.org/10.1093/jamia/ocab015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989301/
https://www.ncbi.nlm.nih.gov/pubmed/33674830
http://dx.doi.org/10.1093/jamia/ocab015

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