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

Machine Learning (1401) Clinical Information and Decision Making (1340) Alarm Fatigue (18) Decision Support for Health Professionals (1147)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19489, first published .
Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation

Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation

Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation

Authors of this article:

Tahmina Nasrin Poly1, 2, 3 Author Orcid Image ;   Md.Mohaimenul Islam1, 2, 3 Author Orcid Image ;   Muhammad Solihuddin Muhtar2 Author Orcid Image ;   Hsuan-Chia Yang1, 2, 3 Author Orcid Image ;   Phung Anh (Alex) Nguyen2, 4 Author Orcid Image ;   Yu-Chuan (Jack) Li1, 2, 3, 5, 6 Author Orcid Image
Article Authors Cited by (17) Tweetations (6) Metrics

Tahmina Nasrin Poly   1, 2, 3 , MSc ;   Md.Mohaimenul Islam   1, 2, 3 , MSc ;   Muhammad Solihuddin Muhtar   2 , BSc ;   Hsuan-Chia Yang   1, 2, 3 , PhD ;   Phung Anh (Alex) Nguyen   2, 4 , PhD ;   Yu-Chuan (Jack) Li   1, 2, 3, 5, 6 , MD, PhD

1 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

2 International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan

3 Research Center of Big Data and Meta-analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

4 Department of Healthcare Information & Management, Ming Chuan University, Taoyuan City, Taiwan

5 Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan

6 TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan

Corresponding Author:

  • Yu-Chuan (Jack) Li, MD, PhD
  • Graduate Institute of Biomedical Informatics
  • College of Medical Science and Technology
  • Taipei Medical University
  • 15 F, No. 172-1, Sec. 2, Kellung Rd, Da'an dist
  • Taipei, 106
  • Taiwan
  • Phone: 886 0966546813
  • Email: jaak88@gmail.com