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

Natural Language Processing (917) Artificial Intelligence (2136) AI Language Models in Health Care (205) Advanced Data Analytics in eHealth (209) Secondary Use of Clinical Data for Research and Surveillance (474) Machine Learning (2078) Tools, Programs and Algorithms (378)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59782, first published .
Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

Authors of this article:

Shengyu Liu1 Author Orcid Image ;   Anran Wang1 Author Orcid Image ;   Xiaolei Xiu1 Author Orcid Image ;   Ming Zhong1 Author Orcid Image ;   Sizhu Wu1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

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  2. Botero-Aguirre J, García-Rivera M. Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions. Mayo Clinic Proceedings: Digital Health 2025;3(3):100244 View
  3. Sreenivas S, Chowdhury S, Masum M. Enhancing Clinical Named Entity Recognition via Fine-Tuned BERT and Dictionary-Infused Retrieval-Augmented Generation. Electronics 2025;14(18):3676 View
  4. Bouslimi R, Zitouni F, Ben Smida T, Ben abdsalem Karaa W. Hybrid graph-based models in medical decision support. Network Modeling Analysis in Health Informatics and Bioinformatics 2025;14(1) View
  5. Shao C, Snyder D, Li C, Gu B, Ngan K, Yang C, Wu J, Wyss R, Lin K, Yang J. Scalable medication extraction and discontinuation identification from electronic health records using large language models. Journal of Clinical Epidemiology 2026;189:112049 View

Conference Proceedings

  1. Hu J, Bao R, Lin Y, Zhang H, Xiang Y. 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). Accurate Medical Named Entity Recognition Through Specialized NLP Models View