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

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 , TW

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

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

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

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

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

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
  • TW
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  • Email: jaak88@gmail.com