Google Inc.

Michal Zielinski

Jack William Rae

Trevor Back

Shakir Mohamed

Xavier Glorot

Harry Askham

Joseph R Ledsam

Nenad Tomasev

Clemens Ludwig Meyer

Suman Ravuri

Anne Mottram

Ivan Protsyuk

Andre Saraiva Nobre Dos Santos

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting future adverse health events using neural networks. One of the methods includes receiving electronic health record data for a patient; generating, from the electronic health record data, an input sequence comprising a respective feature representation at each of a plurality of time window time steps, comprising, for each time window time step: determining, for each of the possible numerical features, whether the numerical feature occurred during the time window; and generating, for each of the possible numerical features, one or more presence features that identify whether the numerical feature occurred during the time window; and processing the input sequence using a neural network to generate a neural network output that characterizes a predicted likelihood that an adverse health event will occur to the patient.

Prediction of future adverse health events using neural networks by pre-processing input sequences to include presence features

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London, United Kingdom

Michal Zielinski