Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling-Reference-Cited by-同舟云学术

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Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling

Published:2023 Issue: Volume:225 Page:1542-1551
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Rossetti Nicholas,Gerevini Alfonso E.,Olivato Matteo,Putelli Luca,Chiari Mattia,Serina Ivan,Minisci Davide,Foca Emanuele

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Development of a prognostic model for mortality in covid-19 infection using machine learning;Adam;Modern Patology,2021

2. Optuna: A next-generation hyperparameter optimization framework;Akiba,2019

3. Length of stay prediction for northern italy COVID-19 patients based on lab tests and x-ray data;Chiari,2020

4. An application of recurrent neural networks for estimating the prognosis of COVID-19 patients in northern italy;Chiari,2021

5. On the properties of neural machine translation: Encoder-decoder approaches;Cho,2014

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