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David Abadía-Gallego

Publications -  5
Citations -  29

David Abadía-Gallego is an academic researcher. The author has contributed to research in topics: Cohort & Next-generation network. The author has an hindex of 1, co-authored 5 publications receiving 9 citations.

Papers
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Journal ArticleDOI

A Clinical Decision Web to Predict ICU Admission or Death for Patients Hospitalised with COVID-19 Using Machine Learning Algorithms.

Rocío Aznar-Gimeno, +8 more
- 17 Aug 2021 - 
TL;DR: In this paper, a predictive model for estimating the risk of ICU admission or mortality among patients hospitalized with COVID-19 and provide a user-friendly tool to assist clinicians in the decision-making process.
Journal ArticleDOI

Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear.

Rocío Aznar-Gimeno, +5 more
- 19 Jun 2021 - 
TL;DR: In this paper, a scalable, easily modulated and live assistive technology system, based on a comfortable smart footwear capable of detecting walking behavior, in order to prevent possible health problems in the elderly, facilitating their urban life as independently and safety as possible.
Book ChapterDOI

Neural networks for QoS network management

Rafael del-Hoyo-Alonso, +6 more
TL;DR: Two different applications based on neural and neurofuzzy systems for Quality of Service (QoS) management in next generation networks for V2oIP services are shown.
Journal ArticleDOI

Changes in severity, mortality, and virus genome among a Spanish cohort of patients hospitalized with SARS-CoV-2.

Rocío Aznar-Gimeno, +10 more
- 22 Sep 2021 - 
TL;DR: In this paper, the authors compared the characteristics and outcomes of patients hospitalized for COVID-19 in different pandemic waves in terms of severity and mortality, and found some variability among death risk factors and the viral genome between waves.
Posted ContentDOI

Changes and evolution among SARS-COV-2 hospitalised patients in terms of severity, mortality and virus genome in a Spanish cohort

Rocío Aznar-Gimeno, +10 more
TL;DR: The two COVID-19 pandemic waves analyzed were different, in terms of disease severity and mortality, and there was variability among death risk factors and virus genome between waves.