Published on in Vol 8, No 11 (2020): November
![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](https://asset.jmir.pub/assets/c300dfc9f92f8dd08b1d7f9f56bae935.png 480w,https://asset.jmir.pub/assets/c300dfc9f92f8dd08b1d7f9f56bae935.png 960w,https://asset.jmir.pub/assets/c300dfc9f92f8dd08b1d7f9f56bae935.png 1920w,https://asset.jmir.pub/assets/c300dfc9f92f8dd08b1d7f9f56bae935.png 2500w)
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