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Breaking barriers: Artificial intelligence interpreting the interplay between mental illness and pain as defined by the International Association for the Study of Pain

dc.contributor.authorParolini, Franciele
dc.contributor.authorGoethel, Márcio
dc.contributor.authorBecker, Klaus
dc.contributor.authorFernandes, Cristofthe
dc.contributor.authorFernandes, Ricardo J.
dc.contributor.authorErvilha, Ulysses F.
dc.contributor.authorSantos, Rubim
dc.contributor.authorVilas-Boas, João Paulo
dc.date.accessioned2024-03-18T09:42:55Z
dc.date.available2024-03-18T09:42:55Z
dc.date.issued2023-07-20
dc.description.abstractLow back pain is one of the main causes of motor disabilities and psychological stress, with the painful process encompassing sensory and affective components. Noxious stimuli originate on the periphery; however, the stimuli are recombined in the brain and therefore processed differently due to the emotional environment. To better understand this process, our objective was to develop a mathematical representation of the International Association for the Study of Pain (IASP) model of pain, covering the multidimensional representation of this phenomenon. Data from the Oswestry disability index; the short form of the depression, anxiety, and stress scale; and pain catastrophizing daily questionnaires were collected through online completion, available from 8 June 2022, to 8 April 2023 (1021 cases). Using the information collected, an artificial neural network structure was trained (based on anomaly detection methods) to identify the patterns that emerge from the relationship between the variables. The developed model proved to be robust and able to show the patterns and the relationship between the variables, and it allowed for differentiating the groups with altered patterns in the context of low back pain. The distinct groups all behave according to the main finding that psychological and pain events are directly associated. We conclude that our proposal is effective as it is able to test and confirm the definition of the IASP for the study of pain. Here we show that the fiscal and mental dimensions of pain are directly associated, meaning that mental illness can be an enhancer of pain episodes and functionality.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationParolini, F., Goethel, M., Becker, K., Fernandes, C., Fernandes, R. J., Ervilha, U. F., Santos, R., & Vilas-Boas, J. P. (2023). Breaking barriers: Artificial intelligence interpreting the interplay between mental illness and pain as defined by the International Association for the Study of Pain. Biomedicines, 11(7), Artigo 7. https://doi.org/10.3390/biomedicines11072042pt_PT
dc.identifier.doi10.3390/biomedicines11072042pt_PT
dc.identifier.eissn2227-9059
dc.identifier.urihttp://hdl.handle.net/10400.22/25182
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationThis research was funded by the Rehabilitation Research Center-Foundation for Science and Technology (FCT) through R&D Units funding UI/BD/151415/2021pt_PT
dc.relation.publisherversionhttps://doi.org/10.3390/biomedicines11072042pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLower back painpt_PT
dc.subjectMental illnesspt_PT
dc.subjectPain catastrophizingpt_PT
dc.subjectArtificial intelligence (AI)pt_PT
dc.subjectMotor disabilitypt_PT
dc.subjectPain perceptionpt_PT
dc.subjectAffective componentspt_PT
dc.subjectCentral nervous systempt_PT
dc.subjectEmotionspt_PT
dc.subjectPeripheral nervous systempt_PT
dc.subjectSensationpt_PT
dc.titleBreaking barriers: Artificial intelligence interpreting the interplay between mental illness and pain as defined by the International Association for the Study of Painpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleBiomedicinespt_PT
oaire.citation.volume11(7)pt_PT
person.familyNameCarvalho Santos Parolini
person.familyNameRubim Silva Santos
person.givenNameFranciele
person.givenNameManuel
person.identifier.ciencia-id7A15-D089-9627
person.identifier.ciencia-idA018-2B24-C597
person.identifier.orcid0000-0001-6765-6475
person.identifier.orcid0000-0002-7394-7604
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication52bcd7e1-57ed-425f-8dcf-00cceb42eb70
relation.isAuthorOfPublication0a264044-a870-4fca-b976-f7ce003d23a8
relation.isAuthorOfPublication.latestForDiscovery0a264044-a870-4fca-b976-f7ce003d23a8

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