Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
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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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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1799131343495364608 |