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The power of self-love: an artificial neural network based on neuroscience inference to predict university students self-reported mental health dimensions

dc.contributor.authorFortunato, Álvaro
dc.contributor.authorEncarnação, Samuel
dc.contributor.authorVaz, Paula Marisa Fortunato
dc.contributor.authorVaz, Filipe J.A.
dc.contributor.authorMonteiro, A.M.
dc.date.accessioned2024-07-02T15:54:43Z
dc.date.available2024-07-02T15:54:43Z
dc.date.issued2024
dc.description.abstractStudent mental health is a global goal, first because it is health we are talking about and secondly because it has implications in the quality of learning and, consequently, in the adequate preparation of professionals for society. The ANN presented excellent learning performance (> 90%) for all targeted variables, within reasonable to good generalization capacity (60-73%). Finally, the university student’s depressive state was the best-predicted variable (73%).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFortunato, Álvaro; Encarnação, Samuel Gonçalves; Vaz, Paula Marisa Fortunato; Vaz, Filipe J.A.; Monteiro, A.M. (2024). The power of self-love: an artificial neural network based on neuroscience inference to predict university. In Annual International (bio)Medical Students Meeting. Lisboapt_PT
dc.identifier.urihttp://hdl.handle.net/10198/29997
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Social sciences::Psychologypt_PT
dc.subjectSelf-lovept_PT
dc.subjectMental Healthpt_PT
dc.titleThe power of self-love: an artificial neural network based on neuroscience inference to predict university students self-reported mental health dimensionspt_PT
dc.typeconference poster
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.titleAnnual International (bio)Medical Students Meetingpt_PT
person.familyNameEncarnação
person.familyNameVaz
person.familyNameMonteiro
person.givenNameSamuel
person.givenNamePaula Marisa Fortunato
person.givenNameAntónio M.
person.identifier.ciencia-id9416-E2F5-E660
person.identifier.ciencia-id421B-9F32-65C9
person.identifier.ciencia-idC41C-6CCD-A1F0
person.identifier.orcid0000-0003-2965-2777
person.identifier.orcid0000-0001-7678-6781
person.identifier.orcid0000-0003-4467-1722
person.identifier.ridK-6545-2015
person.identifier.scopus-author-id57191541426
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd38d4c9f-84d5-4562-9482-5322ded17d3d
relation.isAuthorOfPublication7b5564e4-f168-4c90-90f9-7509b8e3e7b8
relation.isAuthorOfPublication5b5d8601-e683-42d5-a1b5-c8e29a4e0a41
relation.isAuthorOfPublication.latestForDiscovery5b5d8601-e683-42d5-a1b5-c8e29a4e0a41

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