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

Formative Evaluation of Digital Health Interventions (3251) Artificial Intelligence (2144) Clinical Informatics (1328) Chatbots and Conversational Agents (743)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47814, first published .
Fine-Tuned Bidirectional Encoder Representations From Transformers Versus ChatGPT for Text-Based Outpatient Department Recommendation: Comparative Study

Fine-Tuned Bidirectional Encoder Representations From Transformers Versus ChatGPT for Text-Based Outpatient Department Recommendation: Comparative Study

Fine-Tuned Bidirectional Encoder Representations From Transformers Versus ChatGPT for Text-Based Outpatient Department Recommendation: Comparative Study

Authors of this article:

Eunbeen Jo1 Author Orcid Image ;   Hakje Yoo2, 3 Author Orcid Image ;   Jong-Ho Kim4, 5 Author Orcid Image ;   Young-Min Kim6 Author Orcid Image ;   Sanghoun Song7 Author Orcid Image ;   Hyung Joon Joo1, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Lin T, Yang H, Huang R, Lin C. Artificial Intelligence and Machine Learning in Reconstructive Microsurgery. Seminars in Plastic Surgery 2025;39(03):190 View
  2. Jo E, Cho E, Lee Y, Song S, Joo H. Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis. BMC Medical Informatics and Decision Making 2025;25(1) View