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

Journal: JMIR medical informatics
Published Date: May 30, 2025

Abstract

BACKGROUND: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality and disability. The shift to outpatient postoperative care, accelerated by the COVID-19 pandemic, emphasizes the need for effective management of postoperative outcomes. The high rates of cardiovascular and cerebrovascular diseases in Korea necessitate focused transitional care during patient discharge periods. However, limited research exists on the postoperative experiences of discharged patients, underscoring the necessity of establishing evidence-based services to optimize transitional care.

Authors

  • Hocheol Lee
    1, Department of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Changjogwan, Yonseidae-gil 1, Wonju, 26493, Republic of Korea, +82 (0) 33-760-2257.
  • Yu Seong Hwang
    Department of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea.
  • Ye Jun Kim
    Division of Data Science, Yonsei University, Wonju, Republic of Korea.
  • Yukyung Park
    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, 82 332508910.
  • Heui Sug Jo
    Department of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea.

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