Patent ID: 11877830
Assignee: ALIVECOR, INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 11:
12. A method, comprising:
receiving, by a processing device, measured low-fidelity health-indicator data and other-factor data of a user at a time, wherein the measured low-fidelity health-indicator data is obtained by a user health-indicator data sensor;
inputting, by the processing device, data comprising the low-fidelity health-indicator data and other-factor data at the time into a trained high-fidelity machine learning model, wherein the trained high-fidelity machine learning model is configured to predict whether an event is normal or abnormal, wherein if the high-fidelity machine learning model predicts that the event will be abnormal, the high-fidelity machine learning model further calculates an amount of time the event will be abnormal; and
in response to the event being abnormal, sending a notification that a health of the user is abnormal.