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Proposal of an integrated decision support system for Tuberculosis based on Semantic Web

2019-10-16Artigo científico Acesso aberto
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datacite.subject.fosCiências Médicas::Biotecnologia Médica
datacite.subject.fosCiências Médicas::Medicina Clínica
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorLima, Vinícius
dc.contributor.authorPellison, Felipe
dc.contributor.authorBernardi, Filipe
dc.contributor.authorCarvalho, Isabelle
dc.contributor.authorAlves, Domingos
dc.contributor.authorRijo, Rui, Rui Pedro Charters Lopes
dc.date.accessioned2025-12-18T11:16:15Z
dc.date.available2025-12-18T11:16:15Z
dc.date.issued2019-10-16
dc.description.abstractEpidemiological surveillance of Tuberculosis (TB) requires a strong integration of different health services, programs and levels of care. The deepening and broadening of data management techniques must be constantly carried out to increase the integrality of healthcare. Otherwise, knowledge extraction and clinical and administrative decision-making processes are significantly hampered, directly affecting the management and quality of health services. Thus, this work aims to establish a computerized decision support system capable of collecting, integrating and sharing TB health data in Brazilian Unified Public Health System. Also, it will allow the monitoring of infected patients and the visualization of consolidated information of regular TB and its resistant variants for health professionals and managers. The data will be made available from heterogeneous, disconnected and unstructured sources by combining traditional web services, Semantic Web resources and security algorithms. A solid knowledge base applied to epidemiological surveillance, health information governance and clinical support will be enabled to integrate the multiple areas of TB patients care, as well as to support the creation of more accurate operational and diagnostics modelseng
dc.description.sponsorshipFunding text 1 This research is under development in the Bioengineering Postgraduate Program (EESC/FMRP/IQSC) of University of São Paulo and is supported by São Paulo Research Foundation (FAPESP), grant number 2018/00307 . Funding text 2 This work is supported by São Paulo Research Foundation (FAPESP) – grant number 2018/00307 -2 – as part of the project entitled Development of Evidence -Based Health Decision-Support Systems” , coordinated by co-author DA.
dc.identifier.citationLima, V. C., Pellison, F. C., Bernardi, F. A., Carvalho, I., Rijo, R. P. C. L., & Alves, D. (2019). Proposal of an integrated decision support system for tuberculosis based on Semantic Web. Procedia Computer Science, 164, 552–558. https://doi.org/10.1016/j.procs.2019.12.219
dc.identifier.doi10.1016/j.procs.2019.12.219
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/15147
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050919322665?via%3Dihub
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDecision Support System
dc.subjectHealth Information Management
dc.subjectHealth Information System
dc.subjectSemantic Web
dc.subjectTuberculosis
dc.subjectArtificial intelligence
dc.subjectComputational complexity
dc.subjectMedical information systems
dc.titleProposal of an integrated decision support system for Tuberculosis based on Semantic Webeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage558
oaire.citation.issue19
oaire.citation.startPage552
oaire.citation.titleProcedia Computer Science
oaire.citation.volume164
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui
person.identifier.orcid0000-0002-9348-0474
person.identifier.scopus-author-id36861366200
relation.isAuthorOfPublicatione69d7599-392c-4f8f-a96a-bf0a0d15c8b1
relation.isAuthorOfPublication.latestForDiscoverye69d7599-392c-4f8f-a96a-bf0a0d15c8b1

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