Cargando…
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
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...
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: | |
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 |
Ejemplares similares
-
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
por: Wang, Jingqi, et al.
Publicado: (2020) -
COVID-19: The Vital Sign
por: Haranath, Sai Praveen, et al.
Publicado: (2020) -
COVID-19 pneumonia and target sign
por: de Farias, Lucas de Pádua Gomes, et al.
Publicado: (2021) -
The reversed halo sign in COVID-19
por: Marchiori, Edson, et al.
Publicado: (2021) -
Three territory sign in COVID-19
por: Bhatele, Prashant, et al.
Publicado: (2022)