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Biometrics and quality of life of lymphoma patients: A longitudinal mixed‐model approach

2020Journal article Restricted access
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dc.contributor.authorOliveira, Alexandra
dc.contributor.authorSilva, Eliana
dc.contributor.authorAguiar, Joyce
dc.contributor.authorFaria, Brigida Monica
dc.contributor.authorReis, LuĂ­s Paulo
dc.contributor.authorCardoso, Henrique
dc.contributor.authorGonçalves, Joaquim
dc.contributor.authorSĂĄ, Jorge Oliveira e Carvalho
dc.contributor.authorVictor, Marques Herlander
dc.date.accessioned2020-12-04T10:45:19Z
dc.date.available2021-10-05T00:30:59Z
dc.date.issued2020
dc.description.abstractKnowledge Engineering has become essential in the fields of Medical and Health Care with emphasis for helping citizens to improve their health and quality of life. This includes individual methods and techniques in health‐related knowledge acquisition and representation and their application in the construction of intelligent systems capable of using the acquired information to improve the patients' health and/or quality of life. Haemato‐oncological diseases can provide significant disability and suffering, with severe symptoms and psychological distress. They can create difficulties in fulfilling professional, family and social roles, affecting an individual's quality of life. Health related quality of life (HRQoL) is a subjective concept but there is also an objective component related to physiological indicators. Some of these physiological indicators can be easily assessed by wearable technology such heart rate variability (HRV). This paper introduces an intelligent system to assess, in real‐time, potential HRV indices, that can predict HRQoL in lymphoma patients throughout chemotherapy treatment and to account the individuals' variability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, A., Silva, E., Aguiar, J., Faria, B. M., Reis, L. P., Cardoso, H., . . . Marques, H. (2020). Biometrics and quality of life of lymphoma patients: A longitudinal mixed-model approach. Expert Systems, n/a(n/a), e12640. doi:https://doi.org/10.1111/exsy.12640pt_PT
dc.identifier.doi10.1111/exsy.12640pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/16524
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1111/exsy.12640pt_PT
dc.subjectHaemato-oncological diseases, Wearable smart sensorspt_PT
dc.subjectHealth-related quality of lifept_PT
dc.subjectHeart rate variabilitypt_PT
dc.subjectLongitudinalanalysispt_PT
dc.subjectMixed-effect regression modelspt_PT
dc.subjectPhysiological indicatorspt_PT
dc.titleBiometrics and quality of life of lymphoma patients: A longitudinal mixed‐model approachpt_PT
dc.typejournal article
dspace.entity.typePublication
person.familyNameOliveira
person.familyNameFaria
person.givenNameAlexandra
person.givenNameBrigida Monica
person.identifierR-000-T1F
person.identifier.ciencia-id161A-55D9-C256
person.identifier.ciencia-id0D1F-FB5E-55E4
person.identifier.orcid0000-0001-5872-5504
person.identifier.orcid0000-0003-2102-3407
person.identifier.ridC-6649-2012
person.identifier.scopus-author-id56340903500
person.identifier.scopus-author-id6506476517
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd6f940a1-3dba-41d2-9a5e-dc1f313eec07
relation.isAuthorOfPublication85832a40-7ef9-431a-be0c-78b45ebbae86
relation.isAuthorOfPublication.latestForDiscovery85832a40-7ef9-431a-be0c-78b45ebbae86

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