Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis.

Journal: Journal of thrombosis and haemostasis : JTH
PMID: 27960048

Abstract

UNLABELLED: Essentials Predicting the occurrence of portosplenomesenteric vein thrombosis (PSMVT) is difficult. We studied 72 patients with acute pancreatitis. Artificial neural networks modeling was more accurate than logistic regression in predicting PSMVT. Additional predictive factors may be incorporated into artificial neural networks.

Authors

  • Y Fei
    Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
  • J Hu
    School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China.
  • W-Q Li
    Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
  • W Wang
    Department of Thyroid Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Ulumqi, China.
  • G-Q Zong
    Department of General Surgery, Bayi Hospital affiliated Nanjing University of Chinese Medicine/the 81st Hospital of P.L.A., Nanjing, China.

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