Can machine learning methods accurately predict the development of acute kidney injury following cardiac surgery?
Machine learning models can successfully predict acute kidney injury following cardiac surgery, potentially enabling the optimization of postoperative treatment strategies.
In this study, machine learning methods were successfully established to predict CSA-AKI, which determines risks following cardiac surgery, enabling the optimization of postoperative treatment strategies to minimize the postoperative complications following cardiac surgeries.
Tseng et al. (2020) studied this question.