System and method for personalized wellness management using machine learning and artificial intelligence techniques
AssigneeGomhealth LLC
InventorSunil Daniel
Life of this patent
Estimating the term…
Abstract
The disclosure generally relates to a system and method for generating personalized wellness plans for users and monitoring adherence to such plans while providing real-time feedback to users. The personalized wellness plans are generated based on machine learning and/or artificial intelligence techniques and can provide guidance for weight loss, exercise, behavior and lifestyle modification, and integrative health and mindfulness.
Claims20
A method for monitoring adherence to a behavior modification program, comprising:
- receiving, at a server, a preferred food type of a user and a physiological data related to the user;
- determining, by the server, if the preferred food type is a restricted food or an allowed food, based on the physiological data;
- receiving, at the server, location data collected over a period of time from at least one of a wearable device or a mobile computing device;
- determining, by the server, a user's commute based on the location data;
- identifying, by the server, a dining option along the commute that offers the preferred food type;
- transmitting, by the server, a warning message to the user to avoid dining at the dining option if the preferred food type is a restricted food;
- and
- transmitting, by the server, an encouragement message to the user to dine at the dining option if the preferred food type is an allowed food.
A method for monitoring adherence to a behavior modification program, comprising:
- receiving, at a server, a preferred food type of a user and a physiological data related to the user;
- determining, by the server, if the preferred food type is a restricted food or an allowed food, based on the physiological data;
- receiving, at the server, location data collected over a period of time from at least one of a wearable device or a mobile computing device;
- determining, by the server, a user's commute based on the location data;
- identifying, by the server, a dining option along the commute that offers the preferred food type;
- analyzing, by the server, a hunger hormone level of the user;
- transmitting, by the server, a warning message to the user to avoid dining at the dining option if the preferred food type is a restricted food and the hunger hormone level of the user is above a threshold value;
- and
- transmitting, by the server, an encouragement message to the user to dine at the dining option if the preferred food type is an allowed food.
A method for monitoring adherence to a behavior modification program, comprising:
- receiving, at a server, a preferred food type of a user and a physiological data related to the user;
- determining, by the server, if the preferred food type is a restricted food or an allowed food, based on the physiological data;
- receiving, at the server, location data collected over a period of time from at least one of a wearable device or a mobile computing device;
- determining, by the server, a user's commute based on the location data;
- identifying, by the server, a dining option along the commute that offers the preferred food type;
- analyzing, by the server, a hunger hormone level of the user;
- transmitting, by the server, an alternative commute for the user in order to avoid being in proximity to the dining option if the preferred food type is a restricted food and the hunger hormone level of the user is above a threshold value.
Dependencies are inferred from the claim text.