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

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