首页>
外国专利>
Identifying predictive health events in temporal sequences using recurrent neural network
Identifying predictive health events in temporal sequences using recurrent neural network
展开▼
机译:使用递归神经网络识别时间序列中的预测性健康事件
展开▼
页面导航
摘要
著录项
相似文献
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: processing each of a plurality of initial temporal sequences of health events to generate, for each of the initial temporal sequences, a respective network internal state of a recurrent neural network for each time step in the initial temporal sequence; storing, for each of the initial temporal sequences, one or more of the network internal states for the time steps in the temporal sequence in a repository; obtaining a first temporal sequence; processing the first temporal sequence using the recurrent neural network to generate a sequence internal state for the first temporal sequence; and selecting one or more initial temporal sequences that are likely to include health events that are predictive of future health events in the first temporal sequence.
展开▼