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arXiv · 1911.02673

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions

Emily L. Aiken·Andre T. Nguyen·Mauricio Santillana
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Abstract

We introduce the use of a Gated Recurrent Unit (GRU) for influenza prediction at the state- and city-level in the US, and experiment with the inclusion of real-time flu-related Internet search data. We find that a GRU has lower prediction error than current state-of-the-art methods for data-driven influenza prediction at time horizons of over two weeks. In contrast with other machine learning approaches, the inclusion of real-time Internet search data does not improve GRU predictions.

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Emily L. Aiken, Andre T. Nguyen, Mauricio Santillana. 2019-11-06. Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. https://arxiv.org/abs/1911.02673

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