Identifying longitudinal-growth patterns from infancy to childhood: a study comparing multiple clustering techniques

Abstract

Growth-pattern detection is affected by the method employed. This can impact on comparisons across different populations or associations between growth patterns and health outcomes. Growth features can be reliably used as predictors of growth patterns.