Cluster analysis and clinical asthma phenotypes.
RATIONALE: Heterogeneity in asthma expression is multidimensional, including variability in clinical, physiologic, and pathologic parameters. Classification requires consideration of these disparate domains in a unified model. OBJECTIVES: To explore the application of a multivariate mathematical technique, k-means cluster analysis, for identifying distinct phenotypic groups. METHODS: We performed k-means cluster analysis in three independent asthma populations. Clusters of a population manage...Expand abstract
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- American journal of respiratory and critical care medicine
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