Development and validation of machine learning models for 30-day mortality prediction in septic shock
The RF model based on six readily available laboratory parameters accurately predicts 30-day mortality in septic shock patients, however, the findings are limited by the single-center retrospective design and lack of external validation, warranting further multi-center studies to confirm generalizability.
Shan-Bi Chang, Yue-Bang Wang, Zi-Jin Zhang et al.
· Frontiers in Microbiology · 0 citations