VALS: A Visual Analytics Framework for Longitudinal Studies

dc.contributorHernández Peñaloza, José Tiberio
dc.contributorCharpak, Nathalie
dc.contributorHagen, Hans
dc.contributorBranch, John William
dc.contributorAhumada, César
dc.contributorVillamil Giraldo, María del Pilar
dc.contributorImagine: Computación Visual, I+D+I
dc.creatorGómez Betancur, Duván Alberto
dc.date.accessioned2023-04-26T15:57:27Z
dc.date.accessioned2023-09-06T23:47:40Z
dc.date.available2023-04-26T15:57:27Z
dc.date.available2023-09-06T23:47:40Z
dc.date.created2023-04-26T15:57:27Z
dc.date.issued2022-07-19
dc.identifierhttp://hdl.handle.net/1992/66426
dc.identifierinstname:Universidad de los Andes
dc.identifierreponame:Repositorio Institucional Séneca
dc.identifierrepourl:https://repositorio.uniandes.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8726841
dc.description.abstractEl análisis visual de datos ayuda a comprender distintos tipos de fenómenos al permitir a los expertos explorar en busca de relaciones, patrones, valores atípicos, cambios inesperados y mucho más. Los expertos necesitan herramientas que les ayuden a encontrar información útil y procesable en los datos para poder comprobar sus hipótesis y desarrollar otras nuevas. Esta necesidad se hace más evidente en los estudios longitudinales, en los que suele haber un gran número de variables y el proceso que se analiza también puede ser complejo. Presentamos VALS (Visual Analytics in Longitudinal Studies), un framework para explorar visualmente datos de estudios longitudinales. VALS incluye un modelo de datos, un modelo de categorización de tareas y un enfoque hacia la orientación de los usuarios mediante técnicas de ingeniería de características y visualizaciones interactivas, todo lo cual ayuda a los analistas a realizar sus tareas de análisis. La construcción de VALS estuvo acompañada por expertos en estudios clínicos longitudinales. También hemos desarrollado un prototipo de herramienta para un estudio de caso utilizando conjuntos de datos del mundo real. Las pruebas recogidas en el estudio de caso demuestran la utilidad de una herramienta de análisis visual basada en VALS.
dc.languageeng
dc.publisherUniversidad de los Andes
dc.publisherDoctorado en Ingeniería
dc.publisherFacultad de Ingeniería
dc.publisherDepartamento de Ingeniería Sistemas y Computación
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dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rightshttps://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.titleVALS: A Visual Analytics Framework for Longitudinal Studies
dc.typeTrabajo de grado - Doctorado


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