Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks

Detalles Bibliográficos
Autores: Quesada López, David|||0000-0002-7280-904X, Larrañaga Múgica, Pedro María|||0000-0003-0652-9872, Bielza Lozoya, María Concepción|||0000-0001-7109-2668
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:81410
Acceso en línea:https://oa.upm.es/81410/
Access Level:acceso abierto
Palabra clave:Dynamic Bayesian networks
Neural networks
Forecasting
Classification
COVID-19
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network_name_str España
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spelling Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networksQuesada López, David|||0000-0002-7280-904XLarrañaga Múgica, Pedro María|||0000-0003-0652-9872Bielza Lozoya, María Concepción|||0000-0001-7109-2668Dynamic Bayesian networksNeural networksForecastingClassificationCOVID-1920232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/81410/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenComunidad de Madrid 10.13039/100012818 MadridDataSpace4Pandemics-CMopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:814102026-06-21T12:45:07Z
dc.title.none.fl_str_mv Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
title Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
spellingShingle Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
Quesada López, David|||0000-0002-7280-904X
Dynamic Bayesian networks
Neural networks
Forecasting
Classification
COVID-19
title_short Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
title_full Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
title_fullStr Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
title_full_unstemmed Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
title_sort Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
dc.creator.none.fl_str_mv Quesada López, David|||0000-0002-7280-904X
Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
Bielza Lozoya, María Concepción|||0000-0001-7109-2668
author Quesada López, David|||0000-0002-7280-904X
author_facet Quesada López, David|||0000-0002-7280-904X
Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
Bielza Lozoya, María Concepción|||0000-0001-7109-2668
author_role author
author2 Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
Bielza Lozoya, María Concepción|||0000-0001-7109-2668
author2_role author
author
dc.subject.none.fl_str_mv Dynamic Bayesian networks
Neural networks
Forecasting
Classification
COVID-19
topic Dynamic Bayesian networks
Neural networks
Forecasting
Classification
COVID-19
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/81410/
url https://oa.upm.es/81410/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.relation.none.fl_str_mv Comunidad de Madrid 10.13039/100012818 MadridDataSpace4Pandemics-CM
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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