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

BackgroundNatural 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...

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Bibliographic Details
Main Authors: Shun Yu, Anh Le, Emily Feld, Emily Schriver, Peter Gabriel, Abigail Doucette, Vivek Narayan, Michael Feldman, Lauren Schwartz, Kara Maxwell, Danielle Mowery
Format: Article
Language:English
Published: JMIR Publications 2021-07-01
Series:JMIR Cancer
Online Access:https://cancer.jmir.org/2021/3/e27970