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Updated: Jan 31, 2026

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
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Published on: March 3, 2018

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预测代谢功能障碍相关型肝炎肝硬化患者的等待列表轨迹:一个神经网络竞争风险分析

Gopika Punchhi1,2, Yingji Sun2, Eunice Tan2,3,4

  • 1Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.

Journal of medical Internet research
|January 29, 2026
PubMed
概括

深度学习模型可以预测患有代谢功能障碍相关的脂肪肝肝硬化症患者的肝移植等候名单结果. 这种方法可以更好地预测移植和死亡风险,帮助临床决策.

关键词:
肝脏疾病 肝脏疾病肝硬化是肝硬化的一种疾病.深度学习是一种深度学习.肝脏疾病是一种肝脏疾病.肝脏移植 肝脏移植 肝脏移植 肝脏移植肝移植 肝移植 肝移植代谢功能障碍 代谢功能障碍与代谢功能障碍相关的脂肪肝炎.神经网络的神经网络的神经网络预测 预测 预测 预测预测性 预测性 预测性风险分析 风险分析等候名单的轨迹等待名单的轨迹

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