Predicting the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis using a stacked ensemble machine learning model: a retrospective study based on the MIMIC database.

Abstract

Authors

• Fuyuan Li
  Clinical Medical College of Qinghai University, Xining, Qinghai, China.
• Zhanjin Wang
  Inner Mongolia Key Laboratory of Chemistry and Physics of Rare Earth Materials, School of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot, 010021, China.
• Ruiling Bian
  Medical School of Qinghai University, Xining, Qinghai, China.
• ZhangTuo Xue
  Qinghai University, Qinghai, PR China.
• JunJie Cai
  Qinghai University, Qinghai, PR China.
• Ying Zhou
  Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
• Zhan Wang
  Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.

Keywords

External Resources