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https://hdl.handle.net/1822/67833
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Campo DC | Valor | Idioma |
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dc.contributor.author | Goncalves, Andre | por |
dc.contributor.author | Portela, Filipe | por |
dc.contributor.author | Santos, Manuel | por |
dc.contributor.author | Rua, Fernando | por |
dc.date.accessioned | 2020-10-28T18:34:57Z | - |
dc.date.available | 2020-10-28T18:34:57Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | https://hdl.handle.net/1822/67833 | - |
dc.description.abstract | These days the exponential increase in the volume and variety of data stored by companies and organizations of various sectors of activity, has required to organizations the search for new solutions to improve their services and/or products, taking advantage of technological evolution. As a response to the inability of organizations to process large quantities and varieties of data, in the technological market, arise the Big Data. This emerging concept defined mainly by the volume, velocity and variety has evolved greatly in part by its ability to generate value for organizations in decision making. Currently, the health care sector is one of the five sectors of activity where the potential of Big Data growth most stands out. However, the way to go is still long and in fact there are few organizations, related to health care, that are taking advantage of the true potential of Big Data. The main target of this research is to produce a real-time Big Data architecture to the INTCare system, of the Centro Hospitalar do Porto, using the main open source big data solution, the Apache Hadoop. As a result of the first phase of this research we obtained a generic architecture who can be adopted by other Intensive Care Units. | por |
dc.description.sponsorship | "This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2013." This work is also supported by the Deus ex Machina (DEM): Symbiotic technology for societal efficiency gains - NORTE-01-0145-FEDER-000026 | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier Science BV | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | openAccess | por |
dc.subject | Intensive Medicine | por |
dc.subject | Intensive Care Units | por |
dc.subject | Real-time | por |
dc.subject | Big Data | por |
dc.subject | Architecture | por |
dc.subject | Hadoop | por |
dc.title | Towards of a real-time Big Data architecture to intensive care | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1877050917317039 | por |
oaire.citationStartPage | 585 | por |
oaire.citationEndPage | 590 | por |
oaire.citationVolume | 113 | por |
dc.date.updated | 2020-10-28T12:09:40Z | - |
dc.identifier.doi | 10.1016/j.procs.2017.08.294 | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | por |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 7414 | - |
sdum.journal | Procedia Computer Science | por |
sdum.conferencePublication | 8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS | por |
sdum.bookTitle | 8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2017 - Towards of a Real-time Big Data Architecture to Intensive Care .pdf | 931,04 kB | Adobe PDF | Ver/Abrir |