Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

Journal: BMC gastroenterology
PMID:

Abstract

BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.

Authors

  • Qiu Qiu
    Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
  • Yong-Jian Nian
    Department of Medical Images, College of Biomedical Engineering and Imaging Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
  • Yan Guo
    State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China.
  • Liang Tang
    Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
  • Nan Lu
    Department of Medical Images, College of Biomedical Engineering and Imaging Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
  • Liang-Zhi Wen
    Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.
  • Dong-Feng Chen
    Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. chendf1981@126.com.
  • Kai-Jun Liu
    Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. kliu_tmmu@126.com.