Sanofi
Predicting Rates of Hypoglycemia by a Machine Learning System
Last updated:
Abstract:
Systems, methods, and computer products can predict rates of hypoglycemia in patients. One of the methods includes receiving data representing medical records of a patient, the patient having been diagnosed with diabetes mellitus. The method includes determine an predicted rate of hypoglycemic events using a machine learning system, the machine being trained using data representing the medical records of a plurality of patients and the corresponding rate of hypoglycemic events for the respective patients. The methods also includes producing the predicted rate for the patient.
Status:
Application
Type:
Utility
Filling date:
21 Jun 2019
Issue date:
15 Jul 2021