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dc.rights.licenseTiene autorización de usoes_CO
dc.rights.licenseNo disponible para uso comercial, venta, o reproducciónes_CO
dc.rights.licenseAl consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.es_CO
dc.contributor.advisorAkhavan Tabatabaei, Raha
dc.contributor.advisorGel, Esma
dc.contributor.advisorCastillo Hernández, Mario 
dc.contributor.authorArboleda Alaguna, Juan David
dc.coverage.spatialBogotáes_CO
dc.date.accessioned2018-09-28T10:39:52Z
dc.date.available2018-09-28T10:39:52Z
dc.date.issued2016es_CO
dc.identifier.urihttp://hdl.handle.net/1992/13492
dc.descriptionilustraciones a colores_CO
dc.descriptionIncluye referencias bibliográficases_CO
dc.descriptiontextoes_CO
dc.descriptioncomputadoraes_CO
dc.descriptionrecurso en líneaes_CO
dc.description.abstractIn Colombia, Cervical cancer is the second most common cancer and the first cancer cause of death in women. Nowadays, there are different known screening tests that can be performed in order to prevent this disease. Even though Colombia's government tries to increase health coverage, low-income communities and people from rural areas are not having access to these tests easily. Therefore, women from some communities are not following Colombian screening policies as they should. This problem was addressed by Namen et al. in 2014 and they formulated a POMDP model that incorporates different elements of the detection process. However, this model presents some limitations for implementing it according Colombian context. Our main goal is to solve those limitations and extend the model, so it can be evaluated and compared with Colombian current guidelines. We addressed the problems, one by one, and developed a set of tools that helped to improve the evaluation of any policy for cervical cancer. We changed the graphic representation of the solution for a decision tree that allows doctors and patients to see future possible actions and make better decisions. By including co-testing as a possible action, we made the model comparable with current policies. Using Monte Carlo simulation, we generated many random patients and random paths for those patients, so different cervical cancer screening policies could be analyzed and compared with some statistical support. Our new model screening strategies show an improvement regarding costs and total expected quality-adjusted life years (QALYs), compared with existing guidelineses_CO
dc.format.extent1 recurso en línea (25 hojas)es_CO
dc.format.mediumarchivo de textoes_CO
dc.language.isoenges_CO
dc.publisherUniandeses_CO
dc.sourceinstname:Universidad de los Andeses_CO
dc.sourcereponame:Sénecaes_CO
dc.titleExtension of a POMDM model for cervical cancer screening policies in Colombiaes_CO
dc.typemasterThesises_CO
dc.publisher.programMaestría en Ingeniería Industriales_CO
dc.rights.accessRightsopenAccess
dc.subject.keywordNeoplasmas del cuello uterino - Investigaciones - Colombia - Estudio de casoses_CO
dc.subject.keywordInvestigación operacional - Investigacioneses_CO
dc.subject.keywordProcesos de Markov - Investigacioneses_CO
dc.subject.keywordCáncer - Diagnóstico - Toma de decisiones - Investigacioneses_CO
dc.creator.degreeTesis (Magíster en Ingeniería Industrial) -- Universidad de los Andeses_CO
dc.identifier.urlhttp://biblioteca.uniandes.edu.co/acepto201699.php?id=8375.pdfes_CO
dc.publisher.facultyFacultad de Ingenieríaes_CO
dc.publisher.departmentDepartamento de Ingeniería Industriales_CO


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