Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study

Author:

Park Sang Won12ORCID,Yeo Na Young3ORCID,Kang Seonguk4ORCID,Ha Taejun5ORCID,Kim Tae-Hoon6ORCID,Lee DooHee7ORCID,Kim Dowon7ORCID,Choi Seheon7ORCID,Kim Minkyu7ORCID,Lee DongHoon7ORCID,Kim DoHyeon7ORCID,Kim Woo Jin189ORCID,Lee Seung-Joon89ORCID,Heo Yeon-Jeong89ORCID,Moon Da Hye89ORCID,Han Seon-Sook89ORCID,Kim Yoon610ORCID,Choi Hyun-Soo611ORCID,Oh Dong Kyu12ORCID,Lee Su Yeon12ORCID,Park MiHyeon12ORCID,Lim Chae-Man12ORCID,Heo Jeongwon89ORCID,

Affiliation:

1. Department of Medical Informatics, School of Medicine, Kangwon National University, Chuncheon, Korea.

2. Institute of Medical Science, School of Medicine, Kangwon National University, Chuncheon, Korea.

3. Department of Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea.

4. Department of Convergence Security, Kangwon National University, Chuncheon, Korea.

5. Department of Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Korea.

6. University-Industry Cooperation Foundation, Kangwon National University, Chuncheon, Korea.

7. Department of Research and Development, ZIOVISION Co. Ltd., Chuncheon, Korea.

8. Department of Internal Medicine, Kangwon National University Hospital, Chuncheon, Korea.

9. Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Korea.

10. Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Korea.

11. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea.

12. Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funder

Korea Health Industry Development Institute

Korea Disease Control and Prevention Agency

Publisher

XMLink

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