Please use this identifier to cite or link to this item:

TitleAn architecture proposal for noncommunicable diseases prevention
Author(s)Braga, Diana
Oliveira, Daniela Sofia Rijo
Rosário, Rafaela
Novais, Paulo
Machado, José Manuel
KeywordsIntelligent system
Noncommunicable diseases
Online social listening
Issue date2023
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.
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
Publisher version
AccessOpen access
Appears in Collections:ESE-CIE - Livros de atas / Papers in conference proceedings

Files in This Item:
File Description SizeFormat 
procedia_computer_science.pdf443,6 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID