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dc.contributor.authorSantos, Maribel Yasminapor
dc.contributor.authorCarvalheira, Antóniopor
dc.contributor.authorAraújo, Artur Teles depor
dc.date.accessioned2015-11-13T17:24:52Z-
dc.date.issued2015-10-
dc.identifier.citationSantos, Maribel Yasmina, António Carvalheira and Artur Teles de Araújo, “A Data-driven Analytics Approach in the Study of Pneumonia’s Fatalities”, Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2015), October 19-21,2015, IEEE, ISBN: 978-1-4673-8273-1.por
dc.identifier.isbn978-1-4673-8273-1-
dc.identifier.urihttps://hdl.handle.net/1822/38191-
dc.description.abstractAs huge amounts of data become available in organizations and society, specific data analytics skills and techniques are needed to explore this data and extract from it useful patterns, tendencies, models or other useful knowledge, which could be used to support the decision-making process, to define new strategies or to understand what is happening in a specific field. Only with a deep understanding of a phenomenon it is possible to fight it. In this paper, a data-driven analytics approach is used for the analysis of the increasing incidence of fatalities by pneumonia in the Portuguese population, characterizing the disease and its incidence in terms of fatalities, knowledge that can be used to define appropriate strategies that can aim to reduce this phenomenon, which has increased more than 65% in a decade.por
dc.description.sponsorshipThis work was supported by FCT – Fundação para a Ciência e Tecnologia, within the Project Scope: UID/CEC/00319/2013.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsrestrictedAccesspor
dc.subjectData-driven analyticspor
dc.subjectPneumoniapor
dc.subjectDashboardspor
dc.subjectData explorationpor
dc.subjectData analysispor
dc.titleA data-driven analytics approach in the study of pneumonia’s fatalitiespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage800por
oaire.citationEndPage809por
oaire.citationConferencePlaceParis, Francepor
oaire.citationTitleIEEE International Conference on Data Science and Advanced Analytics (DSAA’2015)por
dc.identifier.doi10.1109/DSAA.2015.7344868por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.conferencePublicationIEEE International Conference on Data Science and Advanced Analytics (DSAA’2015)por
sdum.bookTitlePROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015)por
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