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

JOURNAL ARTICLE published 2024 in Journal of Korean Medical Science

Research funded by Korea Health Industry Development Institute (HI21C1074) | Korea Disease Control and Prevention Agency (2019E280500,2020E280700,2021-10-026)

Authors: Sang Won Park | Na Young Yeo | Seonguk Kang | Taejun Ha | Tae-Hoon Kim | DooHee Lee | Dowon Kim | Seheon Choi | Minkyu Kim | DongHoon Lee | DoHyeon Kim | Woo Jin Kim | Seung-Joon Lee | Yeon-Jeong Heo | Da Hye Moon | Seon-Sook Han | Yoon Kim | Hyun-Soo Choi | Dong Kyu Oh | Su Yeon Lee | MiHyeon Park | Chae-Man Lim | Jeongwon Heo | On behalf of the Korean Sepsis Alliance (KSA) Investigators