Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.

Journal: Diabetes care
Published Date:

Abstract

OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to predict the risk of hypoglycemia through the use of machine learning algorithms.

Authors

  • Yue Ruan
    Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals National Health Service Foundation Trust, Oxford, U.K.
  • Alexis Bellot
    Department of Mathematics, University of Cambridge, Cambridge, U.K.
  • Zuzana Moysova
    Big Data Institute, University of Oxford Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, U.K.
  • Garry D Tan
    Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals National Health Service Foundation Trust, Oxford, U.K.
  • Alistair Lumb
    Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals National Health Service Foundation Trust, Oxford, U.K.
  • Jim Davies
  • Mihaela van der Schaar
    University of California, Los Angeles, CA, USA.
  • Rustam Rea
    Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals National Health Service Foundation Trust, Oxford, U.K. rustam.rea@nhs.net.