Authors:
Stefanos Matsopoulos
and
Valentina Plekhanova
Affiliation:
University of Sunderland, United Kingdom
Keyword(s):
Association Rules, Asthma, Data Mining, Spirometry Data.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Clinical Problems and Applications
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Healthcare Management Systems
;
Practice-based Research Methods for Healthcare IT
;
Sensor Networks
;
Signal Processing
;
Soft Computing
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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