Article
Unsupervised phenotyping of Severe Asthma Research Program participants using expanded lung data.
The Journal of allergy and clinical immunology - 1 May 2014
Wu Wei, Bleecker Eugene, Moore Wendy, Busse William W, Castro Mario, Chung Kian Fan, Calhoun William J, Erzurum Serpil, Gaston Benjamin, Israel Elliot, Curran-Everett Douglas, Wenzel Sally E
Abstract excerpt
BACKGROUND: Previous studies have identified asthma phenotypes based on small numbers of clinical, physiologic, or inflammatory characteristics. However, no studies have used a wide range of variables using machine learning approaches. OBJECTIVES: We sought to identify subphenotypes of asthma by using blood, bronchoscopic, exhaled nitric oxide, and clinical data from the Severe Asthma Research Program with...
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