发明公开
- 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
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申请号: EP16747964.1申请日: 2016-07-26
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公开(公告)号: EP3274887A1公开(公告)日: 2018-01-31
- 发明人: CORRADO, Gregory Sean , DEAN, Jeffrey Adgate , SUTSKEVER, 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
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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