Data-Driven Phenotypic Clusters of Gestational Diabetes Mellitus and Associations With Risk of Perinatal Complications and Postpartum Diabetes.

Abstract excerpt

OBJECTIVE: Management of gestational diabetes mellitus (GDM) largely follows a uniform approach, despite growing recognition of GDM heterogeneity. We aimed to identify data-driven GDM clusters by using machine learning techniques and clinical data and to assess their associations with perinatal complications and postpartum diabetes risk. RESEARCH DESIGN AND METHODS: In a population-based cohort study, 37,544...

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• Clustering Algorithms
• Cohort Studies
• Diabetes, Gestational
• C3 gene
• Phenotype