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dc.creatorDomínguez Muñoz, Manueles
dc.creatorAroba Páez, Javieres
dc.creatorGonzález Enríquez, Josées
dc.creatorRamos Román, Isabeles
dc.creatorLucena Soto, José Manueles
dc.creatorEscalona Cuaresma, María Josées
dc.date.accessioned2017-05-02T11:40:19Z
dc.date.available2017-05-02T11:40:19Z
dc.date.issued2014
dc.identifier.citationDomínguez Muñoz, M., Aroba, J., González Enríquez, J., Ramos Román, I., Lucena Soto, J.M. y Escalona Cuaresma, M.J. (2014). Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques. En ICEIS 2014: 16th International Conference on Enterprise Information Systems (325-330), Lisboa, Portugal: ScitePress Digital Library.
dc.identifier.isbn978-989-758-027-7es
dc.identifier.urihttp://hdl.handle.net/11441/59099
dc.description.abstractVirological events in HIV-infected patients can rise with no apparent reason. Therefore, when they appear, immunologists or medical doctors do not know whether they will produce other future virological events or they will entail relevant clinical consequences. This paper presents the results of applying Prefurge to HIV- infected patients’ clinical data, with the aim of obtaining rules and information about this set of clinical trials data that will relate these kinds of virological events.es
dc.description.sponsorshipJunta de Andalucía TIC-5789es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherScitePress Digital Libraryes
dc.relation.ispartofICEIS 2014: 16th International Conference on Enterprise Information Systems (2014), p 325-330
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHIVes
dc.subjectVirological Eventses
dc.subjectPrefurgees
dc.subjectUnsupervised Learninges
dc.titleAdvances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniqueses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIC-5789es
dc.relation.publisherversionhttp://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220%2f0004969503250330es
dc.identifier.doi10.5220/0004969503250330es
dc.contributor.groupUniversidad de Sevilla. TIC021: Ingeniería Web y Testing Temprano (IWT2)es
idus.format.extent6es
dc.publication.initialPage325es
dc.publication.endPage330es
dc.eventtitleICEIS 2014: 16th International Conference on Enterprise Information Systemses
dc.eventinstitutionLisboa, Portugales
dc.relation.publicationplaceLisboaes
dc.contributor.funderJunta de Andalucía

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