Patent ID: 11929170
Assignee: KPN INNOVATIONS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 10:
11. A method of selecting an ameliorative output using artificial intelligence the method comprising:
identifying by at least a server housed with at least a sensor configured to detect physiological state data, at least a prognostic output as a function of physiological state data, wherein identifying the at least a prognostic output further comprises:
creating at least a prognostic machine learning model correlating a plurality of physiological state data to prognostic labels by:
generating a first training data set, wherein the first training data set correlates historical physiological state data to historical prognostic labels based on a distance between the historical physiological state data and the historical prognostic labels within an ordered collection of data, and wherein generating the first training data set further comprises removing an entry of the first training data set in response to detecting the physiological state data; and
training the prognostic machine learning model utilizing the first training data set; and

generating the at least a prognostic output utilizing the trained prognostic machine learning model;

generating by the at least a server a plurality of ameliorative outputs, the plurality of ameliorative outputs associated with a plurality of short-term indicators and a plurality of long-term indicators, as a function of the at least a prognostic output wherein each ameliorative output of the plurality of ameliorative outputs includes at least a short-term indicator of the plurality of short-term indicators and at least a long-term indicator of the plurality of long-term indicators;
receiving by the at least a server at least a user life element datum wherein the at least a user life element datum further comprises at least a user life quality response;
generating by the at least a server a loss function of the plurality of short-term indicators and the plurality of long-term indicators using the at least a user life element datum; and
selecting by the at least a server at least an ameliorative output from the plurality of ameliorative outputs to minimize the loss function.