Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

Detalhes bibliográficos
Autor(a) principal: Ionescu, Clara M.
Data de Publicação: 2011
Outros Autores: Machado, J. A. Tenreiro, Keyser, Robin De
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4104
Resumo: This paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.
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spelling Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?Respiratory impedanceLung functionMultidimensional scalingGeometrical mappingRespiratory disordersDendrogramsClusteringThis paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.ElsevierRepositório Científico do Instituto Politécnico do PortoIonescu, Clara M.Machado, J. A. TenreiroKeyser, Robin De2014-03-05T16:30:16Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4104eng0169-260710.1016/j.cmpb.2011.02.009info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:44:01Zoai:recipp.ipp.pt:10400.22/4104Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:01.682623Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
title Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
spellingShingle Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
Ionescu, Clara M.
Respiratory impedance
Lung function
Multidimensional scaling
Geometrical mapping
Respiratory disorders
Dendrograms
Clustering
title_short Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
title_full Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
title_fullStr Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
title_full_unstemmed Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
title_sort Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
author Ionescu, Clara M.
author_facet Ionescu, Clara M.
Machado, J. A. Tenreiro
Keyser, Robin De
author_role author
author2 Machado, J. A. Tenreiro
Keyser, Robin De
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Ionescu, Clara M.
Machado, J. A. Tenreiro
Keyser, Robin De
dc.subject.por.fl_str_mv Respiratory impedance
Lung function
Multidimensional scaling
Geometrical mapping
Respiratory disorders
Dendrograms
Clustering
topic Respiratory impedance
Lung function
Multidimensional scaling
Geometrical mapping
Respiratory disorders
Dendrograms
Clustering
description This paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2014-03-05T16:30:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/4104
url http://hdl.handle.net/10400.22/4104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0169-2607
10.1016/j.cmpb.2011.02.009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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