Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/87084

TitleAn architecture proposal for noncommunicable diseases prevention
Author(s)Braga, Diana
Oliveira, Daniela Sofia Rijo
Rosário, Rafaela
Novais, Paulo
Machado, José Manuel
KeywordsIntelligent system
Misinformation
Noncommunicable diseases
Online social listening
Prevention
Issue date2023
PublisherElsevier
JournalProcedia Computer Science
CitationBraga, 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
Abstract(s)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.
TypeConference paper
URIhttps://hdl.handle.net/1822/87084
DOI10.1016/j.procs.2023.03.109
ISSN1877-0509
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S1877050923006440
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ESE-CIE - Livros de atas / Papers in conference proceedings

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