Cardiovascular risk analysis by means of pulse morphology and clustering methodologies
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/10400.4/2102 |
Resumo: | The purpose of this study was the development of a clustering methodology to deal with arterial pressure waveform (APW) parameters to be used in the cardiovascular risk assessment. One hundred sixteen subjects were monitored and divided into two groups. The first one (23 hypertensive subjects) was analyzed using APW and biochemical parameters, while the remaining 93 healthy subjects were only evaluated through APW parameters. The expectation maximization (EM) and k-means algorithms were used in the cluster analysis, and the risk scores (the Framingham Risk Score (FRS), the Systematic COronary Risk Evaluation (SCORE) project, the Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network (ASSIGN) and the PROspective Cardiovascular Münster (PROCAM)), commonly used in clinical practice were selected to the cluster risk validation. The result from the clustering risk analysis showed a very significant correlation with ASSIGN (r=0.582, p<0.01) and a significant correlation with FRS (r=0.458, p<0.05). The results from the comparison of both groups also allowed to identify the cluster with higher cardiovascular risk in the healthy group. These results give new insights to explore this methodology in future scoring trials. |
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Cardiovascular risk analysis by means of pulse morphology and clustering methodologiesAteroscleroseDeterminação da Pressão ArterialDiagnóstico por ComputadorAnálise de Onda de PulsoAvaliação de RiscoThe purpose of this study was the development of a clustering methodology to deal with arterial pressure waveform (APW) parameters to be used in the cardiovascular risk assessment. One hundred sixteen subjects were monitored and divided into two groups. The first one (23 hypertensive subjects) was analyzed using APW and biochemical parameters, while the remaining 93 healthy subjects were only evaluated through APW parameters. The expectation maximization (EM) and k-means algorithms were used in the cluster analysis, and the risk scores (the Framingham Risk Score (FRS), the Systematic COronary Risk Evaluation (SCORE) project, the Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network (ASSIGN) and the PROspective Cardiovascular Münster (PROCAM)), commonly used in clinical practice were selected to the cluster risk validation. The result from the clustering risk analysis showed a very significant correlation with ASSIGN (r=0.582, p<0.01) and a significant correlation with FRS (r=0.458, p<0.05). The results from the comparison of both groups also allowed to identify the cluster with higher cardiovascular risk in the healthy group. These results give new insights to explore this methodology in future scoring trials.RIHUCAlmeida, VGBorba, JPereira, HCPereira, TCorreia, CPêgo, MCardoso, J2017-09-01T13:55:02Z2014-112014-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.4/2102engComput Methods Programs Biomed. 2014 Nov;117(2):257-66.10.1016/j.cmpb.2014.06.010info: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:RCAAP2023-07-11T14:23:25Zoai:rihuc.huc.min-saude.pt:10400.4/2102Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:04:34.524864Repositório 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 |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
title |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
spellingShingle |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies Almeida, VG Aterosclerose Determinação da Pressão Arterial Diagnóstico por Computador Análise de Onda de Pulso Avaliação de Risco |
title_short |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
title_full |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
title_fullStr |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
title_full_unstemmed |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
title_sort |
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
author |
Almeida, VG |
author_facet |
Almeida, VG Borba, J Pereira, HC Pereira, T Correia, C Pêgo, M Cardoso, J |
author_role |
author |
author2 |
Borba, J Pereira, HC Pereira, T Correia, C Pêgo, M Cardoso, J |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
RIHUC |
dc.contributor.author.fl_str_mv |
Almeida, VG Borba, J Pereira, HC Pereira, T Correia, C Pêgo, M Cardoso, J |
dc.subject.por.fl_str_mv |
Aterosclerose Determinação da Pressão Arterial Diagnóstico por Computador Análise de Onda de Pulso Avaliação de Risco |
topic |
Aterosclerose Determinação da Pressão Arterial Diagnóstico por Computador Análise de Onda de Pulso Avaliação de Risco |
description |
The purpose of this study was the development of a clustering methodology to deal with arterial pressure waveform (APW) parameters to be used in the cardiovascular risk assessment. One hundred sixteen subjects were monitored and divided into two groups. The first one (23 hypertensive subjects) was analyzed using APW and biochemical parameters, while the remaining 93 healthy subjects were only evaluated through APW parameters. The expectation maximization (EM) and k-means algorithms were used in the cluster analysis, and the risk scores (the Framingham Risk Score (FRS), the Systematic COronary Risk Evaluation (SCORE) project, the Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network (ASSIGN) and the PROspective Cardiovascular Münster (PROCAM)), commonly used in clinical practice were selected to the cluster risk validation. The result from the clustering risk analysis showed a very significant correlation with ASSIGN (r=0.582, p<0.01) and a significant correlation with FRS (r=0.458, p<0.05). The results from the comparison of both groups also allowed to identify the cluster with higher cardiovascular risk in the healthy group. These results give new insights to explore this methodology in future scoring trials. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11 2014-11-01T00:00:00Z 2017-09-01T13:55:02Z |
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/10400.4/2102 |
url |
http://hdl.handle.net/10400.4/2102 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Comput Methods Programs Biomed. 2014 Nov;117(2):257-66. 10.1016/j.cmpb.2014.06.010 |
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.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 |
repository.mail.fl_str_mv |
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1799131707925856256 |