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Background
Clustering techniques can define the heterogeneity of asthma and wheezing. Defining early‐life wheezing clusters and associated asthma risk could potentially inform patient management strategies. Clustering models that yield replicable cluster groups will have greater validity and clinical utility. This study sought to identify early‐life wheezing clusters that are translatable into clinical...