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Advisor(s)
Abstract(s)
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.
Description
Keywords
Respiratory impedance Lung function Multidimensional scaling Geometrical mapping Respiratory disorders Dendrograms Clustering