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

Natural Language Processing (857) Electronic Health Records (1257) Machine Learning (1933)

Published on in Vol 8, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14971, first published .
Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation

Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation

Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation

Authors of this article:

Baotian Hu1 Author Orcid Image ;   Adarsha Bajracharya2 Author Orcid Image ;   Hong Yu1, 3, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Hayes C, Cucciare M, Martin B, Hudson T, Bush K, Lo-Ciganic W, Yu H, Charron E, Gordon A. Using Data Science to Improve Outcomes for Persons with Opioid use Disorder. Substance Abuse 2022;43(1):956 View
  2. Shen Y, Yu J, Zhou J, Hu G. Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review. Journal of Medical Internet Research 2025;27:e59024 View
  3. Magzoub M, Zafar I, Munshi F, Shersad F. Ten tips to harnessing generative AI for high-quality MCQS in medical education assessment. Medical Education Online 2025;30(1) View

Books/Policy Documents

  1. Del Fiol G, Yu H, Cimino J. Clinical Decision Support and Beyond. View