An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III.

Journal: BioMed research international
Published Date: Jan 28, 2021

Abstract

BACKGROUND: Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), especially at the time of admission is very significant. This study was aimed to develop an artificial neural networks (ANN) model for early prediction of in-hospital mortality in AP.

Authors

  • Ning Ding
    Graduate School of Global Convergence, Kangwon National University, Chuncheon-si, Kangwon Province, 24341, Republic of Korea.
  • Cuirong Guo
    Department of Emergency Medicine, Changsha Central Hospital, University of South China, China.
  • Changluo Li
    Department of Emergency Medicine, Changsha Central Hospital, University of South China, China.
  • Yang Zhou
    State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China.
  • Xiangping Chai
    Department of Emergency Medicine, The Second Xiangya Hospital, Emergency Medicine and Difficult Diseases Institute, Central South University, China.

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