Development and validation of a machine learning model to predict the use of renal replacement therapy in 14,374 patients with COVID-19
Description
CONCLUSIONS: An early ML model using easily available clinical and laboratory data accurately predicted the use of RRT in critically ill patients with COVID-19. Our study demonstrates that using ML techniques is feasible to provide early prediction