Comparison of an interpretable extreme gradient boosting model and an artificial neural network model for prediction of severe acute pancreatitis.

Journal: Polish archives of internal medicine
PMID: 38501720

Abstract

INTRODUCTION: Acute pancreatitis (AP) that progresses to persistent organ failure is referred to as severe acute pancreatitis (SAP). It is a condition associated with a relatively high mortality. A prediction model that would facilitate early recognition of patients at risk for SAP is crucial for improvement of patient prognosis.

Authors

  • Yajing Lu
    Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
  • Minhao Qiu
    Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
  • Shuang Pan
    Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
  • Zarrin Basharat
    Alpha Genomics Private Limited, Islamabad, Pakistan
  • Maddalena Zippi
    Unit of Gastroenterology and Digestive Endoscopy, Sandro Pertini Hospital, Rome, Italy
  • Sirio Fiorino
    Unit of Internal Medicine, Maggiore Hospital, Local Health Unit of Bologna, Bologna, Italy
  • Wandong Hong
    4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

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