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