Prediction of Hypoglycemia From Continuous Glucose Monitoring in Insulin-Treated Patients With Type 2 Diabetes Using Transfer Learning on Type 1 Diabetes Data: A Deep Transfer Learning Approach.

Journal: Journal of diabetes science and technology
PMID: 38014538

Abstract

BACKGROUND: Hypoglycemia is common in insulin-treated type 2 diabetes (T2D) patients, which can lead to decreased quality of life or premature death. Deep learning models offer promise of accurate predictions, but data scarcity poses a challenge. This study aims to develop a deep learning model utilizing transfer learning to predict hypoglycemia.

Authors

  • Helene B Thomsen
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Mike M Jakobsen
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Nikolaj Hecht-Pedersen
    Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
  • Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Thomas Kronborg
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

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