Cardiogenic shock and machine learning: A systematic review on prediction through clinical decision support softwares.

The catastrophic risk of developing CS continues to be a concern in the management of critical cardiac care. The use of ML predictive models have the potential to provide the accurate and necessary feedback for the early detection and proper management of CS. This systematic review summarizes the AUC-ROCs accuracy for the early prediction of CS.