Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
Po-Yu TsengYi-Ting ChenChuen-Heng WangKuan-Ming ChiuYu-Sen PengShih-Ping HsuKang-Lung ChenChih-Yu YangOscar Kuang-Sheng LeePublished in: Critical care (London, England) (2020)
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.