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dc.contributor.authorTavares, Jorge
dc.contributor.authorPereira, Filipe Viana
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblElsevier
dc.date.accessioned2026-01-14T13:24:25Z
dc.date.available2026-01-14T13:24:25Z
dc.date.issued2024
dc.descriptionTavares, J., & Pereira, F. V. (2024). Proof of concept: a practical approach to machine learning in video consultations’ acceptance in higher education institutions. Procedia Computer Science, 239, 1532-1538. https://doi.org/10.1016/j.procs.2024.06.328
dc.description.abstractVideo consultations and telemedicine play a key role in healthcare. It is crucial to assist institutions in identifying which patients are more likely to use them, increasing the adoption rate. Even though Artificial Intelligence models are important, certain cases require a human centric approach to inform patients and doctors, ensuring trust in the tools provided. This can be achieved through interpretable Machine Learning models and Statistical Analysis. In this paper we show that even though the accuracy of the Machine Learning models used (Decision Trees, Logistic Regression, and Random Forest) was between 84%-89% on the training set and 69%-76% on the test set the models lacked good ability to identify the users. Afterwards, additional statistical analysis evidenced that the main driver to use video consultations in a sample of participations with a higher-than-average education is the presence of one or more chronic diseases.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent7
dc.format.extent902598
dc.identifier.doi10.1016/j.procs.2024.06.328
dc.identifier.issn1877-0509
dc.identifier.otherPURE: 96140280
dc.identifier.otherPURE UUID: a47ac51f-c9d0-4c7b-aa38-a691353b5a3b
dc.identifier.othercrossref: 10.1016/j.procs.2024.06.328
dc.identifier.otherScopus: 85201287763
dc.identifier.urihttp://hdl.handle.net/10362/198865
dc.identifier.urlhttps://www.scopus.com/pages/publications/85201287763
dc.language.isoeng
dc.peerreviewedyes
dc.subjectVideo consultations
dc.subjectTechnology adoption
dc.subjectCovid-19
dc.subjectMachine Learning
dc.subjectArtificial Intelligence
dc.subjectGeneral Computer Science
dc.subjectSDG 3 - Good Health and Well-being
dc.titleProof of concepten
dc.title.subtitlea practical approach to machine learning in video consultations’ acceptance in higher education institutionsen
dc.typejournal article
degois.publication.firstPage1532
degois.publication.lastPage1538
degois.publication.titleProcedia Computer Science
degois.publication.volume239
dspace.entity.typePublication
rcaap.rightsopenAccess

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