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

Natural Language Processing (692) Artificial Intelligence (1371) AI Language Models in Health Care (58) Advanced Data Analytics in eHealth (133) Secondary Use of Clinical Data for Research and Surveillance (366) Machine Learning (1465) Tools, Programs and Algorithms (266)

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 Tweetations Metrics

Shengyu Liu   1 , MS ;   Anran Wang   1 , MS ;   Xiaolei Xiu   1 , MS ;   Ming Zhong   1 , MS ;   Sizhu Wu   1 , PhD

1 Department of Medical Data Sharing, Institute of Medical Information & Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

Corresponding Author:

  • Sizhu Wu, PhD
  • Department of Medical Data Sharing
  • Institute of Medical Information & Library
  • Chinese Academy of Medical Sciences & Peking Union Medical College
  • 3 Yabao Road
  • Chaoyang District
  • Beijing, 100020
  • China
  • Phone: 86 10 5232 8760
  • Email: wu.sizhu@imicams.ac.cn