Computerimplementiertes Verfahren zur Vorhersage eines Risikos, Ob ein Hypoglykämisches Ereignis Auftritt, Datenverarbeitungssystem, Computerprogramm, System und Fernsteuerung

Details

Veröffentlichungs-Nr.

EP4614504

Aktenzeichen

EP24161074

Anmeldetag

4. März 2024

Veröffentlichung

10. September 2025

Rechtsraum

EP

IPC

G16H20/17G16H40/63G16H50/30G16H50/70G16H50/20

Abstract

A computer-implemented method for predicting a risk whether a hypoglycemic event will occur during a prediction time interval is disclosed. The method comprises: providing user values for a plurality of machine learning input parameters, the user values determined from glucose monitoring data with glucose measurement values detected for a user before a cut-off time, the plurality of machine learning input parameters comprising: at least one first glucose measurement value determined from glucose measurements values measured within at most 10 minutes before the cut-off time, and a hypoglycemic event share value indicative of a share of previous prediction time intervals with detected hypoglycemic events out of a total number of previous prediction time intervals before the cut-off time; predicting, based on the user values and using a machine learning model, a risk whether a hypoglycemic event will occur during a prediction time interval associated with assumed sleep of the user, the machine learning model generated based on the machine learning input parameters and using historical glucose monitoring data of a user population; and generating an output based on the predicted risk. Further, a data processing system, a computer program, a system, and a remote control are disclosed.

Anmelder

Firma

Roche Diabetes Care GmbH

Land

🇩🇪 Deutschland

Fachgebiete