Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study

Xinbo Ge   ^{1, 2} , MD ;   Weiwei Chen   ^{1, 3} , MD ;   Jianshan Shi   ⁴ , MD ;   Jiaqiang Zhang   ⁵ , MD ;   Hao Tai   ² , MD ;   Ying Zhang   ² , MD ;   Biao Wang   ² , MD ;   Wei Liu   ³ , PhD ;   Song Chen   ^{2, 6 *} , PhD ;   Huirui Han   ^{3 *} , PhD

¹ Department of Critical Care Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, China

² Emergency and Trauma College, Hainan Medical University, Haikou, China

³ School of Intelligent Medicine and Technology, Hainan Engineering Research Center for Health Big Data, Hainan Medical University, Haikou, China

⁴ Department of Interventional Vascular Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou, China

⁵ Department of Radiology, Wanning Hospital, The First Affiliated Hospital of Hainan Medical University, Wanning, China

⁶ Department of Emergency Medicine, Wanning Hospital, The First Affiliated Hospital of Hainan Medical University, Wanning, China

*these authors contributed equally