RESEARCH ARTICLE


Cluster Analysis to Characterize the Patterns of Complementary and Alternative Medicines Usage in Asthma Controls



Pooja M.R.1, *, Pushpalatha M.P.1
Department of Computer Science & Engg. Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
Department of Computer Science & Engg. Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India


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Creative Commons License
© 2020 M.R. and M.P.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Computer Science & Engg. Vidyavardhaka College of Engineering, Mysuru, Karnataka, India; Tel: +09886819448; E-mail: pooja.mr@vvce.ac.in


Abstract

Background:

Clinicians and physicians need to be aware of the high prevalence of complementary and alternative medicines use in patients with asthma, as it is found to be associated with lack of asthma control, though the degree to which associations exist is still not clear.

Methods:

We have performed a cluster analysis to characterize patterns defining different asthma control levels and the extent to which the medicines have an impact in these categories.

Results and Conclusion:

We have explored the association of Complementary and Alternative medicines utilization with asthma control and the effect of asthma controller medications, with the conclusion that the usage of complementary and alternative medicines does not have a significant impact on partially and uncontrolled asthmatics.

Keywords: CAM, Control, Cluster analysis, Patterns, Initialization, Cluster.