System und Verfahren zur Bereitstellung einer Vorhersage für Physiologische Parameter eines Patienten

Details

Veröffentlichungs-Nr.

EP4435799

Aktenzeichen

EP23163213

Anmeldetag

21. März 2023

Veröffentlichung

25. September 2024

Rechtsraum

EP

IPC

G16H50/20G16H50/30

Abstract

Systems and methods are provided to provide a prediction for a physiological parameter of a patient to a clinical decision support tool. For that purpose, a real-time or near real-time data stream is accessed of measured values of a physiological parameter of a patient. A trained machine learning model is used to generate, using a time-series of measured values from the real-time or near real-time stream as input, a time-series of predicted values as output. It is determined whether predicted values fall within a physiological range associated with the physiological parameter, thereby obtaining a time-series of classifications, wherein a respective classification is indicative of whether a predicted value falls inside or outside of the physiological range. The time-series of classifications provided to the clinical decision support tool, for example to visualize the time-series of classifications in a graphical representation of a patient's medical condition.

Anmelder

Firma

ETH Zürich

Land

🇨🇭 Schweiz

Fachgebiete