Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes - A large multi-centre study in Australia and New Zealand.

Journal: Nutrition, metabolism, and cardiovascular diseases : NMCD
Published Date: Jan 9, 2025

Abstract

BACKGROUND AND AIMS: Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.

Authors

  • Arul Earnest
    School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. Electronic address: arul.earnest@monash.edu.
  • Timothy W Jones
  • Melissa Chee
    Juvenile Diabetes Research Foundation Australia, St Leonard's, New South Wales, Australia.
  • Deborah J Holmes-Walker
    Department of Diabetes and Endocrinology, Westmead Hospital, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.

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