COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence

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dc.contributor.authorF. A. Prieto
dc.contributor.authorN. G. Baltas
dc.contributor.authorL. Rios-Pena
dc.contributor.authorP J Suárez-Anta Rodríguez
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:43:18Z
dc.date.available2026-03-22T20:43:18Z
dc.date.issued2020
dc.descriptionCitaciones: 4
dc.description.abstractAbstract The objective of this article is to evaluate the spread of the virus and estimate the cases of infected population in need of urgent hospitalization, in order to provide sufficient resources to public health. To this end, a deep learning tool based on deep neural networks (DNN) was developed to predict COVID-19 infection and the need for urgent hospitalization in some of the infected patients. We associated the available resources of public hospitals and evaluated the need to increase them after the possible substantial increase caused by SARS-CoV-2 by provinces in the regions of Andalusia, Spain.
dc.identifier.doi10.21203/rs.3.rs-22628/v1
dc.identifier.urihttps://doi.org/10.21203/rs.3.rs-22628/v1
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/83681
dc.language.isoen
dc.publisherResearch Square (United States)
dc.relation.ispartofResearch Square (Research Square)
dc.sourceUniversidad Loyola
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subjectEstimation
dc.subjectPublic health
dc.subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
dc.subjectPopulation
dc.subject2019-20 coronavirus outbreak
dc.subjectArtificial neural network
dc.subjectMedicine
dc.subjectGeography
dc.subjectMedical emergency
dc.titleCOVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence
dc.typepreprint

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