Connections of Reduced Performance Health Data for Severe Persistent Uncontrolled Allergic Asthma Treated by Omazulimab

Stefanos Matsopoulos, Valentina Plekhanova

Abstract

An application of association rules mining method for the discovery of associations in abnormal quantitative health data for inadequately controlled severe allergic Asthma treated by Omazulimab is presented. To the best of authors’ knowledge, no formal approaches have ever been used for extraction of association rules among dysfunctional elements in Spirometry datasets. Initially is provided an explanation of the procedures used for diagnosing inadequately controlled severe allergic Asthma. Following this, it is conducted critical evaluation of well-known ‘association rule’ mining techniques, in order to identify the one with the best utility for discovery of associations among abnormal elements of Spirometry datasets. Apriori Algorithm is applied to real-life Spirometry datasets to illustrate the contribution of application of association rule mining techniques. This revealed the existence of association rules among dysfunctional Spirometry elements for this disease. Moreover it has been identified that this disease is provoked by association of Spirometry elements that do not function properly as these are provided by Spirometer. This is translated in human factors as a dysfunction of small and medium airways of patients’. Furthermore Spirometry element FEV1, is not as valuable parameter as the European Medical Agency supports. Finally it has been observed that Omazulimab treatment improves respiratory function and makes the connection among associated elements weaker.

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Paper Citation


in Harvard Style

Matsopoulos S. and Plekhanova V. (2014). Connections of Reduced Performance Health Data for Severe Persistent Uncontrolled Allergic Asthma Treated by Omazulimab . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 276-286. DOI: 10.5220/0004763802760286


in Bibtex Style

@conference{healthinf14,
author={Stefanos Matsopoulos and Valentina Plekhanova},
title={Connections of Reduced Performance Health Data for Severe Persistent Uncontrolled Allergic Asthma Treated by Omazulimab},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={276-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004763802760286},
isbn={978-989-758-010-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Connections of Reduced Performance Health Data for Severe Persistent Uncontrolled Allergic Asthma Treated by Omazulimab
SN - 978-989-758-010-9
AU - Matsopoulos S.
AU - Plekhanova V.
PY - 2014
SP - 276
EP - 286
DO - 10.5220/0004763802760286