Cargando…
2378. Use of Natural Language Processing to Extract Published Real World Data on a COVID Vaccine and Antiviral Treatment
BACKGROUND: The COVID-19 global pandemic generated an exponential increase in scientific publications over the last 3 years. LitCovid includes ∼350,000 articles related to COVID-19, vaccine and antiviral medicine development, and real-world data (RWD). The need to identify and extract medical data f...
Autores principales: | Raghuram, Anupama, Ssentongo, Anna, Pereira, Lenon Mendes, Kuang, Yuting, Uyei, Jennifer, Park, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678089/ http://dx.doi.org/10.1093/ofid/ofad500.1999 |
Ejemplares similares
-
2378: A scientometric analysis of CTSA collaboration and impact
por: Holmes, Kristi, et al.
Publicado: (2018) -
Real-world effectiveness of oral antivirals for COVID-19
por: Burdet, Charles, et al.
Publicado: (2022) -
Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support
por: Lederman, Asher, et al.
Publicado: (2022) -
Mathematica beyond mathematics: the Wolfram language in the real world
por: Sánchez León, José Guillermo
Publicado: (2017) -
Situating Language in the Real-World: Authors’ Reply to Commentaries
por: Murgiano, Margherita, et al.
Publicado: (2021)