Children Lung Function Diagnostics - New Methods For Handling of Clinical Data

Jaroslav Horacek; Václav Koucky; Milan Hladik

9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

Children Lung Function Diagnostics - New Methods For Handling of Clinical Data

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.3-12-2015.2262457,
    author={Jaroslav Horacek and V\^{a}clav Koucky and Milan Hladik},
    title={Children Lung Function Diagnostics - New Methods For Handling of Clinical Data},
    proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
    publisher={ACM},
    proceedings_a={BICT},
    year={2016},
    month={5},
    keywords={lung function diagnostics multiple breath washout test interval analysis regression least squares},
    doi={10.4108/eai.3-12-2015.2262457}
}

Jaroslav Horacek
Václav Koucky
Milan Hladik
Year: 2016
Children Lung Function Diagnostics - New Methods For Handling of Clinical Data
BICT
EAI
DOI: 10.4108/eai.3-12-2015.2262457

Jaroslav Horacek¹^,*, Václav Koucky², Milan Hladik¹

1: Department of Applied Mathematics, Charles University in Prague, Czech Republic
2: Department of Paediatrics, Charles University in Prague, Czech Republic

*Contact email: horacek@kam.mff.cuni.cz

Abstract

In our talk we would like to introduce a new approach to handling of clinical data obtained during children lung function testing. We focus on multiple breath inert gas washout test (MBW) which is a new and promising method. We combine traditional approaches with unconventional methods of interval analysis. That helps us to develop new robust algorithms not suffering from typical drawbacks of classical methods. These algorithms enable further processing of the clinical data extrapolation, prediction, regression, checking validity of measurement.

Keywords: lung function diagnostics multiple breath washout test interval analysis regression least squares

Published: 2016-05-24
Publisher: ACM

: http://dx.doi.org/10.4108/eai.3-12-2015.2262457