Patent ID: 11869641
Assignee: AETNA INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 19:
20. A method, comprising:
obtaining a facial image of an individual;
obtaining an audio file comprising a voice recording of the individual;
determining a facial recognition confidence value, wherein determining the facial recognition confidence value comprises:
inputting the facial image into a facial recognition machine learning dataset that is individualized for the individual to determine a preliminary facial recognition value; and
calculating the facial recognition confidence value based on the preliminary facial recognition value and a facial recognition weighted value;

determining a voice recognition confidence value, wherein determining the facial recognition confidence value comprises:
inputting the audio file into a voice recognition machine learning dataset that is individualized for the individual to determine a preliminary voice recognition value; and
calculating the voice recognition confidence value based on the preliminary voice recognition value and a voice recognition weighted value;

determining, based on sensor information from a wearable device, a preliminary sensor information value, wherein the preliminary sensor information value is associated with an oxygen level of the individual, a temperature reading of the individual, a pulse rate of the individual, or a humidity value associated with the individual;
calculating a health characteristic confidence value based on the preliminary sensor information value and a health characteristic weighted value;
determining whether the individual is sick based on the health characteristic confidence value, the facial recognition confidence value, and the voice recognition confidence value; and
causing display of a prompt indicating whether the individual is sick.