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


Autoria(s): Ionescu, Clara M.; Machado, J. A. Tenreiro; Keyser, Robin De
Data(s)

05/03/2014

05/03/2014

2011

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.

Identificador

http://dx.doi.org/10.1016/j.cmpb.2011.02.009

0169-2607

http://hdl.handle.net/10400.22/4104

Idioma(s)

eng

Publicador

Elsevier

Relação

Computer Methods and Programs in Biomedicine; Vol. 104, Issue 3

http://www.sciencedirect.com/science/article/pii/S0169260711000289

Direitos

openAccess

Palavras-Chave #Respiratory impedance #Lung function #Multidimensional scaling #Geometrical mapping #Respiratory disorders #Dendrograms #Clustering
Tipo

article