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

Generative Language Models Including ChatGPT (278) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (560) Clinical Information and Decision Making (1366) Natural Language Processing (673) Artificial Intelligence (1308) Ontologies, Classifications, and Coding (234) Chatbots and Conversational Agents (507)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48443, first published .
Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Authors of this article:

You-Qian Lee1, 2 Author Orcid Image ;   Ching-Tai Chen3, 4 Author Orcid Image ;   Chien-Chang Chen5 Author Orcid Image ;   Chung-Hong Lee6 Author Orcid Image ;   Peitsz Chen7 Author Orcid Image ;   Chi-Shin Wu8 Author Orcid Image ;   Hong-Jie Dai2, 9, 10, 11 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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  2. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024 View
  3. Zaghir J, Naguib M, Bjelogrlic M, Névéol A, Tannier X, Lovis C. Prompt Engineering Paradigms for Medical Applications: Scoping Review. Journal of Medical Internet Research 2024;26:e60501 View