Invention Application
- Patent Title: ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS
- Patent Title (中): 使用重复的神经网络分析健康事件
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Application No.: US14810368Application Date: 2015-07-27
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Publication No.: US20170032241A1Publication Date: 2017-02-02
- Inventor: Gregory Sean Corrado , Jeffrey Adgate Dean , Ilya Sutskever
- Applicant: Google Inc.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/10

Abstract:
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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