发明公开
EP3274887A1 ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS 审中-公开
用循环神经网络分析健康事件

  • 专利标题: ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS
  • 专利标题(中): 用循环神经网络分析健康事件
  • 申请号: EP16747964.1
    申请日: 2016-07-26
  • 公开(公告)号: EP3274887A1
    公开(公告)日: 2018-01-31
  • 发明人: CORRADO, Gregory SeanDEAN, Jeffrey AdgateSUTSKEVER, Ilya
  • 申请人: Google LLC
  • 申请人地址: 1600 Amphitheatre Parkway Mountain View, CA 94043 US
  • 专利权人: Google LLC
  • 当前专利权人: Google LLC
  • 当前专利权人地址: 1600 Amphitheatre Parkway Mountain View, CA 94043 US
  • 代理机构: Clark, Jonathan Lister
  • 优先权: US201514810368 20150727
  • 国际公布: WO2017019706 20170202
  • 主分类号: G06F19/00
  • IPC分类号: G06F19/00 G06N3/02
ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes obtaining a first temporal sequence of health events, wherein the first temporal sequence comprises respective health-related data associated with a particular patient at each of a plurality of time steps; processing the first temporal sequence of health events using a recurrent neural network to generate a neural network output for the first temporal sequence; and generating, from the neural network output for the first temporal sequence, health analysis data that characterizes future health events that may occur after a last time step in the temporal sequence.
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