Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87084
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Braga, Diana | por |
dc.contributor.author | Oliveira, Daniela Sofia Rijo | por |
dc.contributor.author | Rosário, Rafaela | por |
dc.contributor.author | Novais, Paulo | por |
dc.contributor.author | Machado, José Manuel | por |
dc.date.accessioned | 2023-10-25T16:08:55Z | - |
dc.date.available | 2023-10-25T16:08:55Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Braga, D., Oliveira, D., Rosário, R., Novais, P., & Machado, J. (2023). An Architecture Proposal for Noncommunicable Diseases Prevention. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2023.03.109 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | https://hdl.handle.net/1822/87084 | - |
dc.description.abstract | Noncommunicable Diseases (NCDs) are a leading global health challenge, causing 41 million deaths per year. Risk factors include genetics, environmental factors, and lifestyle choices. Adopting healthy lifestyles can prevent or delay the onset of NCDs, but health misinformation can lead people to make poor decisions about their health. To combat this, it is proposed to develop an Intelligent System using Artificial Intelligence techniques to collect and analyze data from social media about health topics to combat misinformation in public health and forecast NCDs, providing guidelines to prevent their spread. Methods: A systems overall architecture is presented. An innovative and novel solution that addresses the spread of information concerning health and NCDs contributes to inform public policies and infodemic management strategies. | por |
dc.description.sponsorship | FCT -Fundação para a Ciência e a Tecnologia(PTDC/SAU-ENF/2584/2021) | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier 1 | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FSAU-ENF%2F2584%2F2021/PT | por |
dc.rights | openAccess | por |
dc.subject | Intelligent system | por |
dc.subject | Misinformation | por |
dc.subject | Noncommunicable diseases | por |
dc.subject | Online social listening | por |
dc.subject | Prevention | por |
dc.title | An architecture proposal for noncommunicable diseases prevention | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1877050923006440 | - |
oaire.citationStartPage | 820 | por |
oaire.citationEndPage | 825 | por |
oaire.citationVolume | 220 | por |
dc.date.updated | 2023-10-25T15:05:13Z | - |
dc.identifier.doi | 10.1016/j.procs.2023.03.109 | por |
sdum.export.identifier | 12858 | - |
sdum.journal | Procedia Computer Science | - |
sdum.conferencePublication | Procedia Computer Science | por |
Aparece nas coleções: | ESE-CIE - Livros de atas / Papers in conference proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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procedia_computer_science.pdf | 443,6 kB | Adobe PDF | Ver/Abrir |