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A clinical support system based on quality of life estimation

dc.contributor.authorFaria, Brigida Monica
dc.contributor.authorGonçalves, Joaquim
dc.contributor.authorReis, Luis Paulo
dc.contributor.authorRocha, Álvaro
dc.date.accessioned2016-01-07T12:32:09Z
dc.date.available2016-08-01T00:30:11Z
dc.date.issued2015
dc.description.abstractQuality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.pt_PT
dc.identifier.citationFaria, B. M., Gonçalves, J., Reis, L. P., & Rocha, Á. (2015). A Clinical Support System Based on Quality of Life Estimation. Journal of Medical Systems, 39(10), 114. https://doi.org/10.1007/s10916-015-0308-1
dc.identifier.doi10.1007/s10916-015-0308-1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/7316
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationQoLis - Quality of Life Platform Project, Nº2013/34034 QREN SI I&DT, (NUP, NORTE-07-0202-FEDER-034Ú34)pt_PT
dc.relation.publisherversionhttp://link.springer.com/article/10.1007/s10916-015-0308-1pt_PT
dc.subjectQuality of Lifept_PT
dc.subjectCancerpt_PT
dc.subjectInformation Technologiespt_PT
dc.subjectClinical Support Systempt_PT
dc.subjectData Miningpt_PT
dc.titleA clinical support system based on quality of life estimationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited States of Americapt_PT
oaire.citation.endPage11pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJournal of Medical Systemspt_PT
oaire.citation.volume39pt_PT
person.familyNameFaria
person.givenNameBrigida Monica
person.identifierR-000-T1F
person.identifier.ciencia-id0D1F-FB5E-55E4
person.identifier.orcid0000-0003-2102-3407
person.identifier.ridC-6649-2012
person.identifier.scopus-author-id6506476517
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication85832a40-7ef9-431a-be0c-78b45ebbae86
relation.isAuthorOfPublication.latestForDiscovery85832a40-7ef9-431a-be0c-78b45ebbae86

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