Early prediction of acute gallstone pancreatitis severity: a novel machine learning model based on CT features and open access online prediction platform.

Abstract

Authors

• Yuhu Ma
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Ping Yue
  The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China.
• Jinduo Zhang
  Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Jinqiu Yuan
  Big Data Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China.
• Zhaoqing Liu
  School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China.
• Zixian Chen
  Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Hengwei Zhang
  Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Chao Zhang
  School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
• Yong Zhang
  Outpatient Department of Hepatitis, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
• Chunlu Dong
  Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Yanyan Lin
  School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
• Yatao Liu
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Shuyan Li
• Wenbo Meng
  The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China. mengwb@lzu.edu.cn.

Keywords

External Resources