Article
Challenges in identifying asthma subgroups using unsupervised statistical learning techniques.
American journal of respiratory and critical care medicine - 1 Dec 2013
Prosperi Mattia C F, Sahiner Umit M, Belgrave Danielle, Sackesen Cansin, Buchan Iain E, Simpson Angela, Yavuz Tolga S, Kalayci Omer, Custovic Adnan
Abstract excerpt
RATIONALE: Unsupervised statistical learning techniques, such as exploratory factor analysis (EFA) and hierarchical clustering (HC), have been used to identify asthma phenotypes, with partly consistent results. Some of the inconsistency is caused by the variable selection and demographic and clinical differences among study populations. OBJECTIVES: To investigate the effects of the choice of statistical method...
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