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Predicting risk for portal vein thrombosis in acute pancreatitis patients: A comparison of radical basis function artificial neural network and logistic regression models

机译:预测急性胰腺炎患者门静脉血栓形成的风险:自由基基函数人工神经网络和逻辑回归模型的比较

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摘要

Objective: To construct a radical basis function (RBF) artificial neural networks (ANNs) model to predict the incidence of acute pancreatitis (AP)-induced portal vein thrombosis.
机译:目的:构建自由基基函数(RBF)人工神经网络(ANNS)模型,以预测急性胰腺炎(AP)引起的门静脉血栓形成的发生率。

著录项

  • 来源
    《Journal of critical care》 |2017年第2017期|共9页
  • 作者单位

    Nanjing Univ SICU Dept Gen Surg Jinling Hosp Med Sch Nanjing 210002 Jiangsu Peoples R China;

    Nanjing Univ Sci &

    Technol Sch Mech Engn Nanjing 210094 Jiangsu Peoples R China;

    Nanjing Univ SICU Dept Gen Surg Jinling Hosp Med Sch Nanjing 210002 Jiangsu Peoples R China;

    Nanjing Univ SICU Dept Gen Surg Jinling Hosp Med Sch Nanjing 210002 Jiangsu Peoples R China;

    Nanjing Univ SICU Dept Gen Surg Jinling Hosp Med Sch Nanjing 210002 Jiangsu Peoples R China;

    Nanjing Univ Chinese Med Dept Gen Surg Bayi Hosp Affiliated PLA Hosp 81 Nanjing 210002 Jiangsu;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 护理学;
  • 关键词

    Thrombosis; Radical basis function; Neural network; Pancreatitis; Logistic regression;

    机译:血栓形成;径向基功能;神经网络;胰腺炎;物流回归;

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