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;34(12):7878 View
  3. Rajwal S, Zhang Z, Chen Y, Rogers H, Sarker A, Xiao Y. Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review. JMIR Research Protocols 2025;14:e66094 View

Books/Policy Documents

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