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TBM-App: a clinical decision support system for tuberculous meningitis

dc.contributor.authorSantos, Luiz R A dos
dc.contributor.authorAnselmo, Lívia M P
dc.contributor.authorOliveira, Lucas S
dc.contributor.authorMerli, Fernanda S
dc.contributor.authorSilva, Carla C
dc.contributor.authorPrado, Gabriela C S
dc.contributor.authorCrepaldi, Nathalia Yukie
dc.contributor.authorBernardi, Filipe A
dc.contributor.authorMatheus A Marçal, Matheus A
dc.contributor.authorR-Netto, Antonio
dc.contributor.authorRijo, Rui Pedro Charters Lopes
dc.contributor.authorBollela, Valdes R
dc.contributor.authorAlves, Domingos
dc.date.accessioned2026-07-07T11:42:13Z
dc.date.available2026-07-07T11:42:13Z
dc.date.issued2019
dc.description.abstractTuberculosis (TB) was responsible for approximately 1.6 million deaths in 2017 and it is the deadliest among the infectious diseases, killing more than Acquired Immunodeficiency Syndrome (AIDS) related diseases. One of the most lethal forms of this disease is the central nervous system TB. The clinical and microbiological diagnosis of tuberculous meningitis (TBM) is still a challenge and to standardize the diagnosis and offer more reliable information to the decision-making process in the clinical practice, predictive scores were created and adapted for the Brazilian context. The score implementation will require staff training but has the potential to reduce time to the TBM diagnosis and therefore start correct treatment early. Although, there is a need to increase the access to the score and to facilitate its use among physicians to save time and resources. This study shows the design and development of a multiplatform mobile application to calculate the predictive score for tuberculous meningitis, in order to support clinical decisions. The preliminary results have shown an effective and versatile App, available to a variety of devices and which can still be available in places with limited or no internet access.eng
dc.description.sponsorshipThis study was funded by the São Paulo Research Foundation (FAPESP, process 2018/00307-2).
dc.identifier.citationRicardo Albano dos Santos, Luiz & Anselmo, Lívia & Oliveira, Lucas & Merli, Fernanda & Silva, Carla & Prado, Gabriela & Crepaldi, Nathalia & Bernardi, Filipe & Marçal, Matheus & R-Netto, Antonio & Rijo, Rui & Bollela, Valdes & Alves, Domingos. (2019). TBM-App: a clinical decision support system for tuberculous meningitis. Procedia Computer Science. 164. 565-572. 10.1016/j.procs.2019.12.221.
dc.identifier.doi10.1016/j.procs.2019.12.221
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/16553
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050919322689
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTuberculous meningitis
dc.subjectclinical decision support system
dc.subjectbiomedical informatics
dc.subjecthealth information system
dc.titleTBM-App: a clinical decision support system for tuberculous meningitiseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage572
oaire.citation.startPage565
oaire.citation.titleProcedia Computer Science
oaire.citation.volume164
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui Pedro Charters Lopes
person.identifier.ciencia-idE71D-3237-849C
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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