Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47366, first published .
Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Jen-Hsuan Liu   1, 2, 3 , MD, MS ;   Chih-Yuan Shih   3, 4 , MD, MSc, PhD ;   Hsien-Liang Huang   3, 4 , MD, MSc ;   Jen-Kuei Peng   3, 4 , MD, MS, PhD ;   Shao-Yi Cheng   3, 4 , MD, MSc, DrPH ;   Jaw-Shiun Tsai   3, 4 , MD, PhD ;   Feipei Lai   2, 5 , PhD

1 Department of Family Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan

2 Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

3 Department of Family Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan

4 Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan

5 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

Corresponding Author:

  • Jaw-Shiun Tsai, MD, PhD
  • Department of Family Medicine
  • National Taiwan University Hospital
  • National Taiwan University
  • 7 Chung-Shan South Road
  • Taipei, 100225
  • Taiwan
  • Phone: 886 2 2312 3456 ext 62147
  • Fax: 886 2 23118674
  • Email: jawshiun@ntu.edu.tw