Comparison of MPL-ANN and PLS-DA models for predicting the severity of patients with acute pancreatitis: An exploratory study.

Journal: The American journal of emergency medicine
Published Date: Jun 1, 2021

Abstract

OBJECTIVE: Acute pancreatitis (AP) is a common inflammatory disorder that may develop into severe AP (SAP), resulting in life-threatening complications and even death. The purpose of this study was to explore two different machine learning models of multilayer perception-artificial neural network (MPL-ANN) and partial least squares-discrimination (PLS-DA) to diagnose and predict AP patients' severity.

Authors

  • Xinrui Jin
    Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
  • Zixuan Ding
    Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Jie Xiong
    Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China; Department of Laboratory Medicine, General Hospital of Chengdu Military Region, Chengdu, Sichuan 610083, China.
  • Gang Tian
    Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
  • Jinbo Liu
    Hypervelocity Aerodynamics Institute, Chinese Aerodynamics Research and Development Center, Mianyang 621000, China. liujinbo1988@hotmail.com.

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