A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring Data.

Journal: Journal of diabetes science and technology
Published Date: Mar 6, 2024

Abstract

BACKGROUND: Remote patient monitoring (RPM) programs augment type 1 diabetes (T1D) care based on retrospective continuous glucose monitoring (CGM) data. Few methods are available to estimate the likelihood of a patient experiencing clinically significant hypoglycemia within one week.

Authors

  • Flavia Giammarino
    Independent Researcher, Spoltore, PE, Italy.
  • Ransalu Senanayake
    Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Priya Prahalad
    Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.
  • David M Maahs
    Department of Pediatrics, Stanford University, Stanford, CA, USA.
  • David Scheinker
    Department of Management Science and Engineering (D.S.), Stanford University, CA.

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