Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach

Marta Villegas,Aitor Gonzalez-Agirre,Asier Gutiérrez-Fandiño,Jordi Armengol-Estapé,Casimiro Pio Carrino,David Pérez Fernández,Felipe Soares,Pablo Serrano,Miguel Pedrera,Noelia García,Alfonso Valencia

Computer Methods and Programs in Biomedicine Update（2023）

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摘要

•Recurrent Neural Networks COVID-19 daily predictions outperform classical methods.•Exhaustive experimentation with various clinical feature representation methods.•Exhaustive functional exploration of hyper parameters tuning.•Attention mechanism used to understand day relevance in time series.

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关键词

COVID-19,Mortality prediction,Time series,Recurrent Neural Network

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