Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers
| Autores: | , , |
|---|---|
| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:72024 |
| Acceso en línea: | https://oa.upm.es/72024/ |
| Access Level: | acceso abierto |
| Palabra clave: | Dynamic Bayesian networks Classification COVID-19 |
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Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiersQuesada López, David|||0000-0002-7280-904XLarrañaga Múgica, Pedro María|||0000-0003-0652-9872Bielza Lozoya, María Concepción|||0000-0001-7109-2668Dynamic Bayesian networksClassificationCOVID-1920222022-01-01technical reporthttp://purl.org/coar/resource_type/c_18ghinfo:eu-repo/semantics/reporthttps://oa.upm.es/72024/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:720242026-06-21T12:45:07Z |
| dc.title.none.fl_str_mv |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| title |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| spellingShingle |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers Quesada López, David|||0000-0002-7280-904X Dynamic Bayesian networks Classification COVID-19 |
| title_short |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| title_full |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| title_fullStr |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| title_full_unstemmed |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| title_sort |
Forecasting symptom severity of COVID-19 patients with dynamic Bayesian network hybrid classifiers |
| 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 Classification COVID-19 |
| topic |
Dynamic Bayesian networks Classification COVID-19 |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2022-01-01 |
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technical report http://purl.org/coar/resource_type/c_18gh |
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info:eu-repo/semantics/report |
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report |
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https://oa.upm.es/72024/ |
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https://oa.upm.es/72024/ |
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Inglés en |
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Inglés en |
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open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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reponame:Archivo Digital UPM instname:Universidad Politécnica de Madrid |
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Universidad Politécnica de Madrid |
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Archivo Digital UPM |
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Archivo Digital UPM |
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15,812429 |