Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/14744
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dc.contributor.advisorAntezana Corrieri, Miguel Eduardoes_PE
dc.contributor.authorAtachagua Galarza, Natalí Ydaliaes_PE
dc.contributor.authorHerrera Ugarte, Lucas Ivánes_PE
dc.contributor.authorOrihuela Zevallos, Orlando Migueles_PE
dc.contributor.authorAuccahuasi Aiquipa, Wilveres_PE
dc.contributor.authorAntezana Corrieri, Miguel Eduardoes_PE
dc.date.accessioned2024-05-17T13:08:44Z-
dc.date.available2024-05-17T13:08:44Z-
dc.date.issued2023-
dc.identifier.citationAtachagua, N., Herrera, L., Orihuela, O., Auccahuasi, W. y Antezana, M. (2023). Analysis of the Professional Burnout Syndrome in Times of Pandemic by COVID-19, an Approach to Practice using Artificial Intelligence. Tesis para optar el grado académico de Maestro en Gerencia Pública, Escuela de Posgrado, Universidad Continental, Lima, Perú.es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12394/14744-
dc.description.abstractIn times of pandemic as a result of Covid-19, many of the services provided by the Peruvian state are subject to the parameters of working from home, which is why many of the services are performed in a minimal way, in the case of the syndrome of professional exhaustion, applied to the workers of Line 100, which is dedicated to helping people who are affected by family violence, due to confinement, emergency calls have increased in such a way that workers are subjected to a pressure product of being able to attend to those affected. In this work, the burnout syndrome is analyzed in workers on line 100 for emergency care, which indicates that this syndrome exists in most of the workers, as a result of the same work and the same emotional situation as a result of the Covid- 19, likewise a method is proposed to be able to use Artificial Intelligence in the analysis and prediction of the professional burnout syndrome.es_PE
dc.formatapplication/pdfes_PE
dc.format.extentp. 60-67es_PE
dc.language.isoenges_PE
dc.publisherUniversidad Continentales_PE
dc.relationhttps://ceur-ws.org/Vol-3269/es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.sourceUniversidad Continentales_PE
dc.sourceRepositorio Institucional - Continentales_PE
dc.subjectInfecciones por Coronaviruses_PE
dc.subjectSíndrome de burnoutes_PE
dc.subjectInteligencia artificiales_PE
dc.subjectEmergencias médicases_PE
dc.titleAnalysis of the Professional Burnout Syndrome in Times of Pandemic by COVID-19, an Approach to Practice using Artificial Intelligencees_PE
dc.typeinfo:eu-repo/semantics/masterThesises_PE
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)es_PE
dc.rights.accessRightsAcceso abiertoes_PE
dc.publisher.countryPEes_PE
thesis.degree.nameMaestro en Gerencia Públicaes_PE
thesis.degree.grantorUniversidad Continental. Escuela de Posgrado.es_PE
thesis.degree.disciplineMaestría en Gerencia Públicaes_PE
thesis.degree.programPosgradoes_PE
dc.identifier.journalCEUR-WSes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.02.00es_PE
renati.advisor.dni09790150-
renati.advisor.orcidhttps://orcid.org/0000-0003-2539-7158es_PE
renati.author.dni43568076-
renati.author.dni10026693-
renati.author.dni08501892-
renati.author.dni43375865-
renati.author.dni06324884-
renati.discipline417387es_PE
renati.levelhttps://purl.org/pe-repo/renati/level#maestroes_PE
renati.typehttps://purl.org/pe-repo/renati/type#tesises_PE
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
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