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US 12,009,075 B2Granted
Personalized health system, method and device having a lifestyle function
AssigneeVydiant, Inc.
InventorsJames Kaput, Corrado Priami, Melissa Morine, Terry Carlone, John Green
Life of this patent
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Abstract
A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user's health.
Claims30
A personal health system for promoting healthy choices to one or more users, the personal health system comprising:
- a non-transitory computer readable memory storing a knowledge base including a plurality of tuples, wherein each tuple includes a condition, one or more factors that affect the condition, and a relationship that describes how the one or more factors affect the condition, wherein one or more of the factors are occupations;
- and
- at least one computing device including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to:
- generate an input graphical user interface on the device having one or more input features configured to input personal characteristics of the user, the personal characteristics including physical activity characteristics, social activity characteristics, sleep characteristics, nutrition characteristics and stress characteristics, wherein the stress characteristics comprise an occupation of the user, a method of transport to the occupation, and a work commute distance of the user, and further wherein the factors and the conditions of the tuples are one or more of the personal characteristics, the non-transitory computer-readable medium storing a user profile and a lifestyle score digital image, the user profile including a physical activity score that is based on the physical activity characteristics, a social activity score that is based on the social activity characteristics, a sleep score that is based on the sleep characteristics, a nutrition score that is based on the nutrition characteristics and a stress score that is based on the stress characteristics and the lifestyle score digital image indicating a lifestyle score that is based on a combination of the physical activity score, the social activity score, the sleep score, the stress score and the nutrition score;
- and
- provide a navigation graphical user interface that:
- enables the user to select one or more of the conditions as desired conditions;
- generates a navigation digital image that concurrently displays one or more relationship strength features adjacent to a network web, wherein the network web graphically illustrates nodes representing the desired conditions and visible connections between each of the nodes and one or more related factors of the factors that have an identified relationship with the desired conditions according to the tuples that include the desired conditions;
- enables the user to selectively input changes to one or more relationship strength threshold values associated with the desired conditions using the relationship strength features;
- and
- dynamically alters the network web as concurrently displayed based on the input changes to the relationship strength threshold values, wherein the altering of the network web is such that the one or more related factors included in the network web is modified to only be a set of the related factors whose identified relationship to the desired conditions, according to the tuples that include the desired conditions, falls within one or more relationship strength ranges defined by the relationship strength threshold values for the desired conditions.
8 more elements
A non-transitory computer-readable medium storing a personal health platform for promoting healthy choices to one or more users and a knowledge base including a plurality of tuples, wherein each tuple includes a condition, one or more factors that affect the condition, and a relationship that describes how the one or more factors affect the condition, wherein one or more of the factors are occupations, wherein when executed by a processor the personal health platform is operable to:
- generate an input graphical user interface having one or more input features configured to input personal characteristics of the user, the personal characteristics including physical activity characteristics, social activity characteristics, sleep characteristics, nutrition characteristics and stress characteristics, wherein the stress characteristics comprise an occupation of the user, a method of transport to the occupation, and a work commute distance of the user, and further wherein the factors and the conditions of the tuples are one or more of the personal characteristics, the non-transitory computer-readable medium storing a user profile and a lifestyle score digital image, the user profile including a physical activity score that is based on the physical activity characteristics, a social activity score that is based on the social activity characteristics, a sleep score that is based on the sleep characteristics, a nutrition score that is based on the nutrition characteristics and a stress score that is based on the stress characteristics and the lifestyle score digital image indicating a lifestyle score that is based on a combination of the physical activity score, the social activity score, the sleep score, the stress score and the nutrition score;
- and
- provide a navigation graphical user interface that:
- enables the user to select one or more of the conditions as desired conditions;
- generates a navigation digital image that concurrently displays one or more relationship strength features adjacent to a network web, wherein the network web graphically illustrates nodes representing the desired conditions and visible connections between each of the nodes and one or more related factors of the factors that have an identified relationship with the desired conditions according to the tuples that include the desired conditions;
- enables the user to selectively input changes to one or more relationship strength threshold values associated with the desired conditions using the relationship strength features;
- and
- dynamically alters the network web as concurrently displayed based on the input changes to the relationship strength threshold values, wherein the altering of the network web is such that the one or more related factors included in the network web is modified to only be a set of the related factors whose identified relationship to the desired conditions, according to the tuples that include the desired conditions, falls within one or more relationship strength ranges defined by the relationship strength threshold values for the desired conditions.
5 more elements
A method of implementing a personal health system for promoting healthy choices to one or more users, the method comprising:
- with at least one computing device having a non-transitory computer-readable medium:
- maintaining a knowledge base including a plurality of tuples, wherein each tuple includes a condition, one or more factors that affect the condition, and a relationship that describes how the one or more factors affect the condition, wherein one or more of the factors are occupations;
- generating an input graphical user interface on the device having one or more input features configured to input personal characteristics of the user, the personal characteristics including physical activity characteristics, social activity characteristics, sleep characteristics, nutrition characteristics and stress characteristics, wherein the stress characteristics comprise an occupation of the user, a method of transport to the occupation, and a work commute distance of the user, and further wherein the factors and the conditions of the tuples are one or more of the personal characteristics;
- the non-transitory computer-readable medium storing a user profile and a lifestyle score digital image, the user profile including a physical activity score that is based on the physical activity characteristics, a social activity score that is based on the social activity characteristics, a sleep score that is based on the sleep characteristics, a nutrition score that is based on the nutrition characteristics and a stress score that is based on the stress characteristics and the lifestyle score digital image indicating a lifestyle score based on a combination of the physical activity score, the social activity score, the sleep score, the stress score and the nutrition score;
- and
- providing a navigation graphical user interface that:
- enables the user to select one or more of the conditions as desired conditions;
- generates a navigation digital image that concurrently displays one or more relationship strength features adjacent to a network web, wherein the network web graphically illustrates nodes representing the desired conditions and visible connections between each of the nodes and one or more related factors of the factors that have an identified relationship with the desired conditions according to the tuples that include the desired conditions;
- enables the user to selectively input changes to one or more relationship strength threshold values associated with the desired conditions using the relationship strength features;
- and
- dynamically alters the network web as concurrently displayed based on the input changes to the relationship strength threshold values, wherein the altering of the network web is such that the one or more related factors included in the network web is modified to only be a set of the related factors whose identified relationship to the desired conditions, according to the tuples that include the desired conditions, falls within one or more relationship strength ranges defined by the relationship strength threshold values for the desired conditions.
8 more elements
Dependencies are inferred from the claim text.