Prediction of Poor Glycemic Control in Children with Type 1 Diabetes.

Journal: Studies in health technology and informatics
PMID: 39176556

Abstract

This study developed and validated a machine learning model for predicting glycemic control in children with type 1 diabetes at the time of diagnosis, revealing age at diagnosis as the most informative predictor.

Authors

  • Tanja F Holm
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Morten H Jensen
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Ole K Hejlesen
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Søren Hagstrøm
    Steno Diabetes Center North Denmark, Aalborg University Hospital, Denmark.
  • Mette Madsen
    Steno Diabetes Center North Denmark, Aalborg University Hospital, Denmark.
  • Stine Hangaard
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

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