US 2022/0027783 A1Published application

Method of and system for generating a stress balance instruction set for a user

AssigneeKpn Innovations, LLC.

InventorKenneth Neumann

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Abstract

A system for generating a stress balance instruction set for a user, the system comprising a computing device, wherein the computing device is configured to receive a plurality of user data to calculate a stress score of a user. Calculating the stress score further comprises training a machine-learning model as a function of stress score training data that numerically describes stress in a user. Computing device generates a plurality of user metrics as a function of the plurality of user data and the machine-learning model and calculates an overall stress score. Computing device determines a stress imbalance using the overall stress score by training a machine-learning model and determining any difference between an anticipated normal stress score and user the stress score. Computing device generates a stress balance instruction set by training a machine-learning model, identifying a strategy, and generating an instruction set for implementing the strategy.

Claims20

Dependent claims

A system for generating a stress balance instruction set for a user, the system comprising a computing device, wherein the computing device is configured to:

receive a plurality of user data;
calculate, using a stress machine-learning model and the plurality of user data, a stress score of a user, wherein calculating the stress score further comprises:
training a stress machine-learning model as a function of stress score training data, wherein stress score training data includes a plurality of entries, and each entry correlates user data to at least a user metric that delineates stress in a user;
generating a plurality of user metrics as a function of the plurality of user data and the stress machine-learning model;
and
calculating, as a function of the plurality of user metrics, a stress score;
determine a stress imbalance as a function of the stress score;
generate a stress balance instruction set, wherein generating the stress balance instruction set further comprises:
training an instruction machine-learning model as a function of instruction training data, wherein instruction training data correlates stress imbalance data to strategies for addressing stress imbalance;
identifying, as a function of the stress imbalance and the instruction machine-learning model, at least a strategy for addressing a user stress imbalance;
and
generating the stress balance instruction set as a function of the at least a strategy.

9 more elements

A method for generating a stress balance instruction set for a user, the system comprising a computing device, wherein the computing device is configured for:

receiving a plurality of user data;
calculating, using a stress machine-learning model and the plurality of user data, a stress score of a user, wherein calculating a stress score further comprises:
training a stress machine-learning model as a function of stress score training data, wherein training data includes a plurality of entries, and each entry correlates user data to at least a user metric that delineates stress in a user;
generating a plurality of user metrics as a function of the plurality of user data and the stress machine-learning model;
and
calculating, using the plurality of user metrics, a stress score;
determining a stress imbalance using the stress score;
generating a stress balance instruction set, wherein generating the stress balance instruction set further comprises:
training an instruction machine-learning model as a function of instruction training data, wherein instruction training data correlates stress imbalance data to strategies for addressing stress imbalance;
identifying, as a function of the stress imbalance and the instruction machine-learning model, at least a strategy for addressing a user stress imbalance;
and
generating the stress balance instruction set as a function of the at least a strategy.

9 more elements

Dependencies are inferred from the claim text.