Published on in Vol 24, No 4 (2022): April
![Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach](https://asset.jmir.pub/assets/0514dd65627d22f59f95fe3a848d4d86.png 480w,https://asset.jmir.pub/assets/0514dd65627d22f59f95fe3a848d4d86.png 960w,https://asset.jmir.pub/assets/0514dd65627d22f59f95fe3a848d4d86.png 1920w,https://asset.jmir.pub/assets/0514dd65627d22f59f95fe3a848d4d86.png 2500w)
1 Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, United States
2 Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
3 Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
4 Department of Medicine, National Taiwan University, Taipei, Taiwan
5 Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States
6 Medical Wizdom, LLC, Brookline, MA, United States
7 Center of Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan