ISSN: 2642-6250
Authors: Pooja MR*
Asthma is a heterogeneous disorder with many phenotypes. We discuss the phenotypic characterization of asthma by which disease causality and ultimately management approaches can be developed to improve asthma control while avoiding adverse effects and decreasing the risk of serious outcomes. Thus the discussions would aim at phenotyping asthma based on clinical as well as physiological characteristics as Asthma is defined and diagnosed by a combination of clinical symptoms and physiologic abnormalities by deploying different learning techniques for devising novel approaches, while performing evaluation of the same, which would better define asthma phenotypes that may improve the understanding of the underlying pathobiology of the phenotypes and lead to targeted therapies for individual phenotypes. The approaches developed would serve to cluster, classify and further perform analysis and predict the severity of the disease in future effectively.
Keywords: Phenotypes; Longitudinal; Cluster Analysis
