A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

BACKGROUND: Natural language processing (NLP) offers significantly faster variable extraction compared to traditional human extraction but cannot interpret complicated notes as well as humans can. Thus, we hypothesized that an “NLP-assisted” extraction system, which uses humans for complicated notes...

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Detalles Bibliográficos
Autores principales: Yu, Shun, Le, Anh, Feld, Emily, Schriver, Emily, Gabriel, Peter, Doucette, Abigail, Narayan, Vivek, Feldman, Michael, Schwartz, Lauren, Maxwell, Kara, Mowery, Danielle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285739/
https://www.ncbi.nlm.nih.gov/pubmed/34255641
http://dx.doi.org/10.2196/27970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285739/
https://www.ncbi.nlm.nih.gov/pubmed/34255641
http://dx.doi.org/10.2196/27970

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