Presentation systems, methods, and programs

Abstract

Intuitively grasp the level of dementia risk. [Solution] The system provides a database in which sample brain health data, including sample brain state data, is associated with individual characteristics; a first recognition unit that recognizes user brain state data; a second recognition unit that recognizes user individual characteristics; a first prediction unit that predicts the user's future brain state data based on the user brain state data, user individual characteristics, and the database; and a presentation unit that displays information including the user's future brain state data on the screen. In the database, sample brain health data is associated with individual characteristics and lifestyle characteristics, including at least one of lifestyle habits and living environment. Lifestyle habits include at least one of exercise levels, etc., and living environment includes at least one of living environment, etc. The system further includes a second prediction unit that predicts future brain state data in cases where lifestyle characteristics are changed, and the presentation unit presents the user's future brain state data in cases where lifestyle characteristics are changed.

Claims

1. Sample brain health data, which includes sample brain state data relating to the brain state of a sample subject, is associated with an individual characteristic of the sample subject, which includes at least one of the age, sex, and physical information of the sample subject. A first recognition unit recognizes user brain state data, which is data relating to the state of the user's brain, A second recognition unit recognizes user individual characteristics, which are the individual characteristics of the user. A first prediction unit predicts brain state data relating to the future brain state of the user based on the acquired user brain state data, the user's individual characteristics, and the database, The system includes a display unit that controls the display of information on the screen, including brain state data relating to the future brain state of the user, as predicted by the first prediction unit, In the aforementioned database, the sample brain health data is associated with the individual characteristics and lifestyle characteristics, which include at least one of the lifestyle habits and living environment of the sample subject. The aforementioned lifestyle habits include at least one of the following: amount of exercise, amount of food eaten, type of food eaten, amount of communication, frequency of communication, amount of hobby activities, and frequency of hobby activities; and the aforementioned living environment includes at least one of the following: living environment, occupation, educational background, annual income, and number of cohabitants. The system further includes a second prediction unit that, based on the aforementioned database, predicts brain state data relating to the future brain state of the user in cases where the lifestyle characteristics are changed. The system further includes a presentation unit that presents brain state data relating to the future brain state of the user in cases where the lifestyle characteristics predicted by the second prediction unit have been changed.

2. The aforementioned lifestyle characteristics include the aforementioned lifestyle habits, The system according to claim 1, wherein the lifestyle includes the amount of exercise.

3. It further has a third recognition unit that recognizes user lifestyle characteristics, which are the lifestyle characteristics of the user, The system according to claim 2, wherein the first prediction unit predicts brain state data relating to the future brain state of the user based on the user brain state data, the user individual characteristics, the user lifestyle characteristics, and the database.

4. The system according to claim 3, wherein the presentation unit presents, in a comparable manner, the future brain state data of the user predicted by the first prediction unit and the future brain state data of the user in cases where the lifestyle characteristics of the user have been changed, as predicted by the second prediction unit.

5. If the user's lifestyle characteristics are not recognized, the first prediction unit predicts brain state data relating to the user's future brain state based on sample brain health data associated with the user's individual characteristics, according to claim 3.

6. The aforementioned lifestyle characteristics include the aforementioned lifestyle habits, The system according to any one of claims 1 to 5, wherein the lifestyle includes at least one of the amount of communication and the frequency of communication.

7. The aforementioned lifestyle characteristics include the aforementioned lifestyle habits, The system according to any one of claims 1 to 5, wherein the lifestyle includes at least one of the amount of food and the type of food.

8. The aforementioned lifestyle characteristics include the aforementioned lifestyle habits, The system according to any one of claims 1 to 5, wherein the lifestyle includes at least one of the amount of hobby activity and the frequency of hobby activity.

9. The system according to any one of claims 1 to 5, wherein the aforementioned lifestyle characteristics include the aforementioned living environment.

10. The data relating to the state of the brain is based on the volume of the hippocampus, according to any one of claims 1 to 5.

11. The system according to any one of claims 1 to 5, wherein the data relating to the state of the brain includes at least one of the total volume of the brain, the volume of at least one predetermined region of the brain, a brain image, an electroencephalogram, and cerebral blood flow.

12. The aforementioned sample brain state data and user brain state data include data relating to a predetermined region of at least a part of the brain, The system according to any one of claims 1 to 5, wherein the first prediction unit includes a generative model that predicts brain state data relating to the future state of the user's brain using an algorithm that calculates brain state data relating to the future state of the brain from data relating to a predetermined region of at least a part of the brain.

13. The system according to claim 12, wherein the data relating to the state of the brain includes the volume of the hippocampus, and the data relating to a predetermined region of at least a part of the brain includes data that can calculate the volume of the hippocampus.

14. The system according to any one of claims 1 to 5, wherein the display unit controls the display unit to further display on the screen brain state data relating to the standard future brain state of the sample subject, where at least one of the user's individual characteristics, age, gender, and physical information, corresponds.

15. A prediction step involves recognizing user brain state data, which is data relating to the state of the user's brain, and user individual characteristics, which are individual characteristics including at least one of the user's age, gender, and physical information, and performing a prediction step of performing a first prediction that predicts brain state data relating to the future state of the user's brain based on the database, which recognizes user brain state data, which is data relating to the state of the user's brain, and user individual characteristics, which are individual characteristics including at least one of the user's age, gender, and physical information, and which recognizes the recognized user brain state data, the user individual characteristics, and sample brain health data, which is data relating to the state of the brain of a sample subject, which is data relating to the state of the sample subject's brain, and the sample brain health data is associated with the individual characteristics including at least one of the sample subject's lifestyle habits and living environment, wherein the lifestyle habits include at least one of exercise amount, food intake amount, type of food, amount of communication, frequency of communication, amount of hobby activities, and frequency of hobby activities, and the living environment includes at least one of living environment, occupation, educational background, annual income, and number of cohabitants, and predicting brain state data relating to the future state of the user's brain based on the database, and performing a second prediction that predicts brain state data relating to the future state of the user's brain based on the user's lifestyle characteristics in cases where the lifestyle characteristics of the user are changed. The system includes a presentation step which controls the display on the screen information including brain state data relating to the user's future brain state as predicted by the first prediction in the prediction step, and brain state data relating to the user's future brain state in cases where the user's lifestyle characteristics have been changed as predicted by the second prediction in the prediction step. method.

16. A program for causing a computer to perform the method described in claim 15.

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