This paper is in the following e-collection/theme issue:

Prostate Cancer (25) Natural Language Processing (676) Ontologies, Classifications, and Coding (236)

Published on in Vol 7, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27970, first published .
A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

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

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

Authors of this article:

Shun Yu1 Author Orcid Image ;   Anh Le2 Author Orcid Image ;   Emily Feld1 Author Orcid Image ;   Emily Schriver1 Author Orcid Image ;   Peter Gabriel1, 2 Author Orcid Image ;   Abigail Doucette1 Author Orcid Image ;   Vivek Narayan1, 2 Author Orcid Image ;   Michael Feldman1, 2 Author Orcid Image ;   Lauren Schwartz1, 2 Author Orcid Image ;   Kara Maxwell1, 2 Author Orcid Image ;   Danielle Mowery2 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Parikh R, Basen-Enquist K, Bradley C, Estrin D, Levy M, Lichtenfeld J, Malin B, McGraw D, Meropol N, Oyer R, Sheldon L, Shulman L. Digital Health Applications in Oncology: An Opportunity to Seize. JNCI: Journal of the National Cancer Institute 2022;114(10):1338 View
  2. Nakai H, Suman G, Adamo D, Navin P, Bookwalter C, LeGout J, Chen F, Wellnitz C, Silva A, Thomas J, Kawashima A, Fan J, Froemming A, Lomas D, Humphreys M, Dora C, Korfiatis P, Takahashi N. Natural language processing pipeline to extract prostate cancer-related information from clinical notes. European Radiology 2024 View

Books/Policy Documents

  1. Kalra R, Gupta M, Sharma P. Next Generation eHealth. View