Risk Prediction for Portal Vein Thrombosis in Acute Pancreatitis Using Radial Basis Function.

Journal: Annals of vascular surgery
PMID: 28943487

Abstract

BACKGROUND: Acute pancreatitis (AP) can induce portosplenomesenteric vein thrombosis (PVT), which may generate higher morbidity and mortality. However current diagnostic modalities for PVT are still controversial. In recent decades, artificial neural networks have been increasingly applied in medical research. The aim of this study is to predict the risk of AP-induced PVT by radial basis function (RBF) artificial neural networks (ANNs) model.

Authors

  • Yang Fei
    Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing 210002, China.
  • Jian Hu
    Department of Chemistry, Michigan State University, MI, 48824, USA.
  • Kun Gao
    a State Key Laboratory of Applied Organic Chemistry, College of Chemistry and Chemical Engineering , Lanzhou University , Lanzhou , People's Republic of China.
  • Jianfeng Tu
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Wei-Qin Li
    Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing 210002, China. Electronic address: chamskuler@163.com.

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