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

Machine Learning (1824) Clinical Information and Decision Making (1722) Surgery, Trauma and Surgical Sciences (178) Cardiac Disease Management (134) Postoperative Monitoring and Telemonitoring (169) Decision Support for Health Professionals (1390)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65127, first published .
Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model

Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model

Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model

Authors of this article:

Hocheol Lee1 Author Orcid Image ;   Yu Seong Hwang2 Author Orcid Image ;   Ye Jun Kim3 Author Orcid Image ;   Yukyung Park2, 4 Author Orcid Image ;   Heui Sug Jo2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hocheol Lee   1 , PhD ;   Yu Seong Hwang   2 , PhD ;   Ye Jun Kim   3 , BS ;   Yukyung Park   2, 4 , MD, MPH, PhD ;   Heui Sug Jo   2, 4 , MD, MPH, PhD

1 Department of AI Health Information Management, Software Digital Healthcare Convergence College, Yonsei University, Wonju, Republic of Korea

2 Department of Health Policy and Management, School of Medicine, Kangwon National University, Chuncheon, Gangwon-do, Republic of Korea

3 Division of Data Science, Yonsei University, Wonju, Republic of Korea

4 Department of Preventive Medicine, Kangwon National University Hospital, Chuncheon, Republic of Korea

Corresponding Author:

  • Heui Sug Jo, MD, MPH, PhD
  • Department of Health Policy and Management, School of Medicine
  • Kangwon National University
  • 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil
  • Chuncheon, Gangwon-do 24341
  • Republic of Korea
  • Phone: 82 332508910
  • Email: joheuisug@gmail.com