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

Eunbeen Jo   1 * , BA ;   Hakje Yoo   2, 3 * , PhD ;   Jong-Ho Kim   4, 5 , PhD ;   Young-Min Kim   6 , PhD ;   Sanghoun Song   7 , PhD ;   Hyung Joon Joo   1, 4, 5 , MD, PhD

1 Department of Medical Informatics, Korea University College of Medicine, Seoul, Republic of Korea

2 Department of Bio-Mechatronic Engineering, Sungkyunkwan University College of Biotechnology and Bioengineering, Gyeonggi, Republic of Korea

3 Medical AI Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

4 Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea

5 Department of Cardiology, Cardiovascular Center, Korea University College of Medicine, Seoul, Republic of Korea

6 School of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Republic of Korea

7 Department of Linguistics, Korea University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyung Joon Joo, MD, PhD
  • Department of Medical Informatics
  • Korea University College of Medicine
  • 73, Inchon-ro
  • Seoul, 02841
  • Republic of Korea
  • Phone: 82 2 920 5445
  • Email: drjoohj@gmail.com