Show simple item record

dc.contributor.authorGibert, Karina
dc.contributor.authorGarcía Rudolph, A.
dc.contributor.authorCurcoll, Lluïsa
dc.contributor.authorSoler, Dolors
dc.contributor.authorPla, Laura
dc.contributor.authorTormos, José Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2010-07-16T10:12:10Z
dc.date.available2010-07-16T10:12:10Z
dc.date.created2009-08-01
dc.date.issued2009-08-01
dc.identifier.citationGibert, C. [et al.]. Knowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states. "Studies in health technology and informatics", 01 Agost 2009, vol. 150, p. 579-583.
dc.identifier.issn0926-9630
dc.identifier.urihttp://hdl.handle.net/2117/8203
dc.description.abstractIn this paper, an integral Knowledge Discovery Methodology, named Clustering based on rules by States, which incorporates artificial intelligence (AI) and statistical methods as well as interpretation-oriented tools, is used for extracting knowledge patterns about the evolution over time of the Quality of Life (QoL) of patients with Spinal Cord Injury. The methodology incorporates the interaction with experts as a crucial element with the clustering methodology to guarantee usefulness of the results. Four typical patterns are discovered by taking into account prior expert knowledge. Several hypotheses are elaborated about the reasons for psychological distress or decreases in QoL of patients over time. The knowledge discovery from data (KDD) approach turns out, once again, to be a suitable formal framework for handling multidimensional complexity of the health domains.
dc.format.extent5 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshData mining
dc.subject.lcshDecision support systems
dc.subject.lcshKnowledge management
dc.subject.lcshSpinal cord
dc.subject.lcshQuality of life
dc.titleKnowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states
dc.typeArticle
dc.subject.lemacMineria de dades
dc.subject.lemacDecisió, Presa de
dc.subject.lemacGestió del coneixement
dc.subject.lemacMedul·la espinal -- Ferides i lesions
dc.subject.lemacQualitat de vida
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.relation.publisherversionhttp://person.hst.aau.dk/ska/MIE2009/papers/MIE2009p0579.pdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac2574663
dc.description.versionPostprint (published version)
local.citation.authorGibert, C.; García, A.; Curcoll, L.; Soler, D.; Pla, L.; Tormos, J.
local.citation.publicationNameStudies in health technology and informatics
local.citation.volume150
local.citation.startingPage579
local.citation.endingPage583


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain