Health management system, health management method, and program

Abstract

The present invention creates a health measure suitable for the health condition of a subject.　A health management system comprises: a data collection unit that collects biological data relating to the health condition of a subject, obtained by measuring the subject's exhalation components and / or saliva components; a data analysis unit that causes an AI to create a health measure suitable for the subject on the basis of the biological data; and a display unit that displays the health measure created by the AI.

Description

Health management system, health management method, and program

[0001] The present invention relates to a health management system, a health management method, and a program. The present invention claims the priority of Japanese Patent Application No. 2024-164938 filed on September 24, 2024, and for designated countries where incorporation by reference is recognized, the contents described in that application are incorporated herein by reference.

[0002] It is known that a person's bad breath represents the health status of that person (hereinafter referred to as the subject). For example, Patent Document 1 describes a bad breath measuring device that estimates whether the subject's bad breath is caused by oral gas resulting from dental caries or periodontal disease in the oral cavity, or by exhaled gas resulting from internal organ diseases such as gastrointestinal diseases.

[0003] Japanese Patent Application Laid-Open No. 2004-108861

[0004] According to the technology described in Patent Document 1, the cause of the subject's bad breath can be estimated. In addition to the bad breath measuring device, there are various types of sensors that can measure biological data representing the health status of the subject.

[0005] However, it has been difficult to formulate health measures suitable for the subject's health status based on the outputs of these various sensors or to quantify the effects of the formulated health measures.

[0006] The present invention has been made in view of such a situation, and an object thereof is to enable the formulation of health measures suitable for the subject's health status.

[0007] This application includes a plurality of means for solving at least a part of the above problems. For example, they are as follows.

[0008] To solve the above problems, a health management system according to an aspect of the present invention includes a data collection unit that collects biological data regarding the health status of the subject, which measures at least one of the subject's exhaled components and saliva components, a data analysis unit that causes an AI to formulate a health measure suitable for the subject based on the biological data, and a display unit that displays the health measure formulated by the AI.

[0009] The data analysis unit can have the AI ​​analyze the biometric data, evaluate the health status of the subject, and formulate health measures appropriate to that health status.

[0010] The data analysis unit can input the attribute information of the subject into the AI ​​and use the attribute information of the subject to formulate health measures suitable for the subject.

[0011] The data analysis unit can have the AI ​​evaluate the changes in the subject's health status based on the biometric data measured from the subject before and after the health measures were formulated, and modify the health measures based on the changes in the health status.

[0012] The aforementioned biometric data may include data measured by at least one of a health meter, hormone sensor, camera, and wearable device.

[0013] The aforementioned biometric data may include data obtained from at least one or a combination of the following: measurement of bad breath, measurement of hormone levels in saliva components, measurement of vitamins and minerals, acquisition of oral cavity images using a camera, acquisition of facial color and skin images, DNA analysis, blood tests, measurement of vital signs, measurement of body composition, measurement of gut microbiota, measurement of gene expression profiles, measurement of periodic progress information, and acquisition of steps, heart rate, blood pressure, sleep patterns, and physical activity levels using wearable devices.

[0014] The data analysis unit can have the AI ​​formulate personalized health measures for the subject, including at least one of the following: points for oral care, improvement of toothbrushing methods, advice on toothpaste, recommendations for medicines and supplements to improve hormone balance, self-care for stress reduction, adjustment of autonomic nervous system balance, exercise, stretching, and yoga suggestions.

[0015] The data analysis unit can cause the AI ​​to formulate health measures relating to at least one of the following: oral care, PMS management, exercise management, and nutritional management.

[0016] The data analysis unit can cause the AI ​​to formulate health measures that include at least one of the following: suggesting a visit to a specialist if gum inflammation is observed; suggesting dietary improvements or toothpaste if there is a high risk of tooth decay; or suggesting early detection of tooth decay and encouraging early treatment.

[0017] The data analysis unit can cause the AI ​​to output information that estimates the future health status of the subject if the subject implements the health measures devised by the AI.

[0018] The data analysis unit can have the AI ​​estimate and output the difference in the subject's future health status between the case in which the subject implements the health measures devised by the AI ​​and the case in which the subject does not implement the health measures, in a comparable manner.

[0019] The data analysis unit can input the subject's past biometric data history into the AI ​​and have it formulate health measures suitable for the subject based on that history.

[0020] The data analysis unit can input the subject's past biometric data history and the health measures the subject has taken in the past into the AI, and have the AI ​​formulate health measures suitable for the subject based on the history and the health measures the subject has taken in the past.

[0021] Another aspect of the present invention relates to a health management method using a health management system, characterized by comprising: a collection step of collecting biometric data relating to the health status of a subject by measuring at least one of the subject's exhaled breath components and saliva components; a data analysis step of causing an AI to formulate health measures suitable for the subject based on the biometric data; and a display step of displaying the health measures formulated by the AI.

[0022] A program according to yet another aspect of the present invention is a program for causing a computer to function as a health management system, comprising: a collection step of collecting biometric data relating to the health status of a subject by measuring at least one of the subject's breath components and saliva components; a data analysis step of causing an AI to formulate health measures suitable for the subject based on the biometric data; and a display step of displaying the health measures formulated by the AI.

[0023] According to the present invention, it is possible to formulate health measures that are appropriate to the health condition of the subject.

[0024] Other issues, configurations, and effects not mentioned above will be clarified by the following description of the embodiments.

[0025] Figure 1 shows an example configuration of a health management system according to one embodiment of the present invention. Figure 2 shows an example configuration of a terminal device. Figure 3 shows an example configuration of an analysis device. Figure 4 is a flowchart illustrating an example of health management processing by the health management system.

[0026] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In all drawings used to describe the embodiment, the same reference numerals will be used for identical components, and repeated descriptions will be omitted. In addition, in the following embodiment, the components (including element steps, etc.) are not necessarily essential unless specifically stated, or unless they are clearly essential in principle. Also, when referring to "consisting of A," "being made of A," "having A," or "including A," other elements are not excluded unless specifically stated to refer only to that element. Similarly, in the following embodiment, when referring to the shape, positional relationship, etc. of components, etc., it includes those that are substantially similar or approximate to their shape, etc., unless specifically stated, or unless it is clearly not the case in principle.

[0027] <Health Management System 10 According to One Embodiment of an Embodiment> Figure 1 shows an example of the configuration of a health management system 10 according to one embodiment of an embodiment of an embodiment.

[0028] The health management system 10 estimates the health status of subject 1 based on biometric data such as breath components (including bad breath), saliva components, hormone levels, images, body temperature, blood pressure, heart rate, steps taken, sleep patterns, and physical activity levels, and plans health measures appropriate to subject 1's health status. Here, health measures include at least one of the following: self-care performed by subject 1, treatment received by subject 1 from others, and consultation with a specialist. However, self-care may be included in the treatment.

[0029] The health management system 10 includes a group of sensors 20, a terminal device 30, and an analysis device 40.

[0030] The sensor group 20 includes an oral sensor 21 that measures data related to the oral condition of subject 1. Furthermore, the sensor group 20 includes, for example, at least one of a health meter 22, a hormone sensor 23, a camera 24, and a wearable device 25. Hereinafter, when the oral sensor 21, health meter 22, hormone sensor 23, camera 24, and wearable device 25 are not individually distinguished, they will be referred to as "each sensor".

[0031] The oral sensor 21 measures the components of the subject's breath. The oral sensor 21 also measures the components of saliva collected from subject 1. The health meter 22 measures subject 1's weight, body fat percentage, etc. The hormone sensor 23 measures the levels of various hormones, vitamins, and minerals from bodily fluids (saliva, blood, sweat, urine, etc.) collected from subject 1. The camera 24 images the inside of subject 1's mouth (teeth, gums, gingiva) and the surrounding area (color of face and lips, skin condition). The camera 24 can be, for example, a camera built into a smartphone that makes up the terminal device 30. The wearable device 25 is worn by subject 1 and measures subject 1's body temperature (skin temperature), blood pressure, heart rate, physical activity level (steps, etc.), etc.

[0032] The user of terminal device 30 is the subject. However, the user of terminal device 30 and subject 1 may be different people. Terminal device 30 connects to each sensor constituting the sensor group 20 via wireless means such as Wi-Fi (trademark) or Bluetooth (trademark), or wired means such as a USB (Universal Serial Bus) cable, and acquires the measurement results (including captured images) of each sensor.

[0033] Alternatively, the measurement results from each sensor may be recorded on a detachable, portable recording medium, and the terminal device 30 may read the measurement results from the portable recording medium.

[0034] Furthermore, the terminal device 30 connects to the analysis device 40 via a network N, which is a bidirectional communication network such as the Internet. The terminal device 30 transmits the measurement results from each sensor as biological data to the analysis device 40 and requests analysis. In addition, the terminal device 30 receives the evaluation of the health status of subject 1 and the health measures obtained as the analysis results of the biological data from the analysis device 40 and presents them to the user.

[0035] Figure 2 shows an example of the configuration of the functional blocks of the terminal device 30. The terminal device 30 has functional blocks consisting of a data acquisition unit 31, an analysis request unit 32, a storage unit 33, a communication unit 34, and a display unit 35. The terminal device 30 consists of a computer such as a smartphone, tablet PC (personal computer), notebook PC, desktop PC, or dedicated terminal, which includes a processor such as a CPU (Central Processing Unit), memory such as DRAM (Dynamic Random Access Memory), storage such as an HDD (Hard Disk Drive) or SSD (Solid State Drive), input devices such as a keyboard, mouse, or touch panel, output devices such as a display, and a communication module such as a NIC (Network Interface Card) (all not shown).

[0036] The data acquisition unit 31 and the analysis request unit 32 are realized by the computer's processor executing a predetermined program. The data acquisition unit 31 collects measurement results 201 from each sensor of the sensor group 20 via the communication unit 34 and stores them in the storage unit 33.

[0037] Furthermore, the data acquisition unit 31 has the function of receiving input of sensor supplementary information 202 that cannot be collected by the sensor group 20 and storing it in the storage unit 33. The sensor supplementary information 202 includes information that indicates the physical condition and characteristics of subject 1, such as subject 1's DNA (Deoxyribo Nucleic Acid), blood test result data, hormone levels, vital signs, body composition, gut microbiota, gene expression profile, and periodic progress information such as PMS (Premenstrual Syndrome) diary.

[0038] The analysis request unit 32 transmits the measurement results 201 of each sensor stored in the storage unit 33 (for example, measurement results 201 for a predetermined number of past measurements) and sensor supplementary information 202 as biological data to the analysis device 40 via the communication unit 34 and the network N, and requests analysis.

[0039] The memory unit 33 consists of the computer's memory and storage. The memory unit 33 stores and accumulates the measurement results 201 collected from each sensor of the sensor group 20 by the data acquisition unit 31. The communication unit 34 consists of the computer's communication module. The communication unit 34 communicates various data by connecting to each sensor of the sensor group 20 wirelessly or via wired connection. The communication unit 34 also communicates various data by connecting to the analysis device 40 via the network N.

[0040] The display unit 35 consists of the computer's output device. The display unit 35 displays an operation screen to the user. The operation screen includes, for example, input fields for the user to input attribute information of the subject 1 (e.g., age, gender, height, weight, address, occupation, work hours, free time, medical history, past treatment history, etc.), as well as information on the progress of the health measures being formulated by the analysis device 40, and information on the formulated health measures, displayed in text, numbers, graphs, etc.

[0041] Note that the measurement results 201 of some or all of the sensors constituting the sensor group 20 may be directly transmitted to the analysis device 40 without passing through the terminal device 30. In that case, each sensor attaches identification information for identifying the subject 1 to the measurement result 201 and transmits it to the analysis device 40. In the analysis device 40, the measurement results 201 by the sensors may be accumulated and managed in association with each subject 1.

[0042] FIG. 3 shows a configuration example of the functional blocks of the analysis device 40. The analysis device 40 has functional blocks of a data analysis unit 41 and a communication unit 42. The analysis device 40 is composed of a computer such as a server computer including, for example, a processor such as a CPU, a memory such as a DRAM, a storage such as an HDD or SSD, an input device such as a keyboard, a mouse, a touch panel, an output device such as a display, and a communication module such as a NIC (none of which are shown).

[0043] The data analysis unit 41 is realized by the processor of the computer executing a predetermined program. The data analysis unit 41 instructs the AI (Artificial Intelligence) 411 to analyze the biological data transmitted from the terminal device 30, evaluate the health state of the subject 1, and formulate a health measure suitable for the subject 1 based on the evaluated health state, and obtains the result.

[0044] The health state includes, for example, the state of oral diseases (tooth decay, periodontal disease, gingivitis, etc.), internal organ diseases (lung cancer, diabetes, asthma, liver disease, kidney disease, infectious diseases, digestive diseases, etc.), the state of PMS, the state of menopause disorder, nutritional state, and the state of cardiopulmonary function.

[0045] The health measures include, for example, points of oral care, improvement of brushing methods, advice on toothpaste, nutritional management, recommendation of pharmaceuticals and supplements for improving hormonal balance, adjustment of the balance of the autonomic nerves, proposal of exercises (including stretching, yoga, etc.) for stress reduction, treatments such as massage, and visits to and treatments at hospitals.

[0046] AI 411 is a model that has been pre-trained to take the biological data of subject 1 as input and output the health status of subject 1 and health measures according to the health status of subject 1.

[0047] For example, as an example of oral care, when AI 411 evaluates that the risk of periodontal disease has increased based on changes in exhaled breath components and saliva components collected regularly, it proposes appropriate toothbrushing methods and toothpaste, or when it analyzes oral images and evaluates that there are inflammations or dental caries in the oral cavity, it proposes a visit to a specialist or early treatment. Also, when it evaluates that the risk of dental caries is high based on the acidity of the collected saliva, it proposes dietary improvements or the use of fluoride toothpaste.

[0048] For example, as an example of health management, when AI 411 measures specific volatile organic compounds (VOCs) produced by lung cancer cells from exhaled breath components, it evaluates that there may be a possibility of lung cancer; when it detects an increase in the concentration of acetone produced as a result of fat metabolism, it evaluates that there may be a possibility of diabetes; when it detects a high concentration of nitric oxide indicating tracheal inflammation, it evaluates that there may be a possibility of asthma; when it detects an increase in the concentration of specific volatile organic compounds produced by liver function decline, it evaluates that there may be a possibility of liver disease; when it detects an increase in the concentration of specific volatile organic compounds produced by kidney function decline, it evaluates that there may be a possibility of kidney disease; when it detects specific compounds caused by some infectious diseases such as tuberculosis, it evaluates that there may be a possibility of an infectious disease; when it detects a pattern of specific compounds caused by some digestive system diseases, it evaluates that there may be a possibility of a digestive system disease, and is trained to propose a visit to a specialist.

[0049] Furthermore, AI411 is trained to, as an example of managing PMS in women, propose a PMS self-care plan when it assesses that PMS symptoms are likely based on fluctuations in predetermined hormone levels contained in periodically collected bodily fluids; propose coping methods based on predetermined symptoms; suggest tips for living well with PMS; suggest relaxation methods and appropriate nutritional supplements when it assesses that stress levels are high based on fluctuations in predetermined hormone levels; and suggest supplements to regulate hormone balance and lifestyle improvements when it assesses that there are signs of menopausal symptoms based on fluctuations in predetermined hormone levels.

[0050] Furthermore, AI411 is trained to, as an example of exercise management, propose an individualized exercise plan if it assesses a lack of exercise based on daily physical activity levels, adjust the intensity and frequency of exercise in that plan based on heart rate and stress levels, and suggest supplementation of necessary nutrients, improvement of diet, or intake of supplements if it assesses nutritional deficiencies or imbalances based on analysis of saliva components.

[0051] The data analysis unit 41 can obtain attribute information of subject 1 by receiving input from subject 1. The data analysis unit 41 may input the attribute information of subject 1 into the AI ​​411 and have it formulate a self-care plan suitable for subject 1 to implement themselves as a health measure. Alternatively, the data analysis unit 41 may input the attribute information of the subject into the AI ​​411 and have it formulate a treatment plan for subject 1 to receive from others as a health measure.

[0052] Furthermore, the data analysis unit 41 requests the terminal device 30 to recollect biometric data after a predetermined period (for example, one week) has elapsed since the planned health measures were presented to the subject 1, during which time it is expected that the effects will become apparent. The AI ​​411 then compares the health status based on the biometric data before and after the planning of the health measures, evaluates the effectiveness of the health measures, and modifies them. The AI ​​411 then provides feedback to the subject 1 regarding the evaluation of the effectiveness of the health measures and any modifications made. The terminal device 30 may also be used to monitor whether the subject 1 is implementing the planned health measures, and to issue warnings or advice if they are not being implemented. In addition, the effects of the health measures may be communicated, and guidance towards implementing the health measures (e.g., gentle encouragement) may be provided.

[0053] The communication unit 42 consists of the computer's communication module. The communication unit 42 connects to the terminal device 30 via the network N and communicates various data. For example, the communication unit 42 transmits to the terminal device 30 the evaluation of the subject's health status by the data analysis unit 41 and the self-care plan formulated for the subject 1.

[0054] <Health Management Processing by Health Management System 10> Figure 4 is a flowchart illustrating an example of health management processing by the health management system 10. This health management processing is initiated in response to a predetermined operation by the user to the terminal device 30.

[0055] Furthermore, as a prerequisite for health management processing, it is assumed that various measurement items of subject 1 have already been measured using each sensor constituting the sensor group 20.

[0056] First, the data acquisition unit 31 of the terminal device 30 collects measurement results 201 from each sensor constituting the sensor group 20 via the communication unit 34 and stores them in the storage unit 33. The data acquisition unit 31 also acquires sensor supplementary information 202 input from an external source and stores it in the storage unit 33. Then, the analysis request unit 32 reads the measurement results 201 and sensor supplementary information 202 for a predetermined number of past measurements of each sensor stored in the storage unit 33, and transmits them as biological data to the analysis device 40 via the communication unit 34 and the network N to request analysis (step S1).

[0057] The analysis request unit 32 may transmit the measurement results 201 for the most recent number of measurements of each sensor stored in the storage unit 33, along with sensor supplementary information 202, as biological data to the analysis device 40, and the analysis device 40 may store biological data for a predetermined number of past measurements associated with the subject 1.

[0058] Next, the data analysis unit 41 of the analysis device 40 instructs the AI ​​411 to analyze the biological data transmitted from the terminal device 30 to evaluate the health status of subject 1, and to formulate health measures appropriate to the health status of subject 1 based on the evaluated health status (step S2).

[0059] Next, the communication unit 42 transmits to the terminal device 30 the evaluation of the health status of subject 1, which is the result of the analysis by AI 411, and the health measures planned for subject 1 (step S3).

[0060] The data analysis unit 41 may instruct the AI ​​411 to evaluate the health status of subject 1 and to output warnings or display levels such as the scope of what subject 1 should handle themselves, what should be handled by a medical institution, or what requires urgency, and transmit the information output by the AI ​​411 in accordance with the instructions to the terminal device 30.

[0061] Next, the communication unit 34 of the terminal device 30 receives the assessment of the subject's health status and health measures, and the display unit 35 displays the assessment of the subject's health status and health measures on the screen and presents them to the user (step S4).

[0062] After a predetermined period (e.g., one week, three months, six months) has elapsed since health measures were presented to subject 1 in step S4, and it is expected that the effects will become apparent, the data analysis unit 41 of the analysis device 40 requests the terminal device 30 to recollect biological data. In response to this request, the data collection unit 31 of the terminal device 30 collects measurement results 201 from each sensor constituting the sensor group 20 via the communication unit 34, and acquires sensor supplementary information 202 from an external source as needed, and stores it in the storage unit 33. Then, the analysis request unit 32 reads the measurement results 201 and sensor supplementary information 202 for each sensor stored in the storage unit 33 for a predetermined number of past measurements, and transmits them as biological data to the analysis device 40 via the communication unit 34 and the network N (step S5).

[0063] Next, the data analysis unit 41 of the analysis device 40 compares the health status corresponding to the biological data before and after the presentation of health measures, and instructs the AI ​​411 to evaluate the effect of the health measures (change in health status) and to modify the health measures according to that effect (step S6). Next, the communication unit 42 transmits the evaluation of the effect of the health measures obtained from the AI ​​411 and the modified health measures to the terminal device 30 (step S7).

[0064] Next, the communication unit 34 of the terminal device 30 receives the evaluation of the effectiveness of the health measures and the revised health measures, and the display unit 35 displays the evaluation of the health status of the subject 1 and the health measures on the screen and presents them to the user (step S8). With this, the health management processing by the health management system 10 is completed.

[0065] According to the health management process described above, the user of the terminal device 30 can check the evaluation of the health status of subject 1 and the health measures suitable for subject 1. The user can also check the effects after subject 1 has implemented the proposed health measures and the health measures that have been modified according to those effects. It is possible that health measures previously planned and proposed to the subject may not be effective or may be difficult for the subject to implement. For example, even if morning walking is proposed as a health measure, it may be difficult for subject 1 to implement if they have difficulty waking up early due to night work. According to this health management process, more suitable health measures can be proposed to subject 1 while reviewing them.

[0066] <Modification> The AI ​​411 used by the data analysis unit 41 of the analysis device 40 may not be built into the analysis device 40, but may be provided outside the analysis device 40.

[0067] AI 411 may be a so-called generative AI. A generative AI is a system connected to a communication network that uses machine learning and natural language processing to generate and output various documents, images, videos, audio, program code, etc., in response to instructions (prompts). If an API (Application Programming Interface) is provided for the generative AI, the data analysis unit 41 can also access the API function to input instructions. The generative AI may be built locally and accessed by the analysis device 40 via a LAN (Local Area Network), or it may be accessed via a WAN (Wide Area Network). Furthermore, from the viewpoint of privacy protection and reduction of network dependency, the generative AI may be built into the terminal device 30. In addition, for example, OpenAI's CHAT-GPT, Google's Gemini, etc. can be used for the generative AI.

[0068] Alternatively, the data analysis unit 41 of the analysis device 40 may be moved to the terminal device 30, and the health management system 10 may be implemented using only the terminal device 30. Or, if the terminal device 30 is a smartphone or tablet computer, an application program may be installed on the smartphone or tablet computer acting as the terminal device 30 to implement each of the functions described above. Alternatively, all the functions may be held by the analysis device 40 (server), and information may be presented to the user and instructions may be accepted via a general-purpose browser running on the terminal device 30.

[0069] Furthermore, the data analysis unit 41 may instruct the AI ​​to output information that predicts the future health status of subject 1 if subject 1 implements the health measures devised by AI 411. Specifically, the data analysis unit 41 may instruct AI 411 to output information that shows the future health status (e.g., weight, blood pressure, cholesterol levels, hormone balance, etc.) of subject 1 if they implement the devised health measures (e.g., points for oral care, improvement of toothbrushing methods, advice on toothpaste, nutritional management, recommendation of medicines or supplements to improve hormone balance, exercise to reduce stress, etc.) in six months, one year, ten years, etc. The output may be displayed as a bar graph, line graph, pie chart, etc., showing changes in numerical values.

[0070] Furthermore, the data analysis unit 41 may instruct the AI ​​411 to estimate the difference in the subject's future health status between the case in which the subject 1 implements the health measures devised by the AI ​​411 and the case in which the subject 1 does not implement the health measures, and output the results in a comparable manner. Specifically, the data analysis unit 41 may instruct the AI ​​411 to estimate the difference in the subject's future health status (e.g., weight, blood pressure, cholesterol levels, hormone balance, etc.) (e.g., 6 months, 1 year, 10 years later) between the case in which the subject 1 implements the health measures devised by the AI ​​411 (e.g., points for oral care, improvement of toothbrushing methods, advice on toothpaste, nutritional management, recommendation of medicines or supplements to improve hormone balance, exercise to reduce stress, etc.) and the case in which the subject 1 does not implement the health measures, and to output a display image that makes it easy to compare the two. The data analysis unit 41 then displays the image output by the AI ​​411 (for example, an image showing a bar graph of the case where the subject 1 implemented health measures and a bar graph of the case where they did not implement them side by side, or superimposed on each other) on the terminal device.

[0071] Furthermore, the data analysis unit 41 may input the subject 1's past biometric data history (for example, data showing long-term health status over the past six months, one year, five years, etc.) into the AI ​​411 and have it formulate health measures appropriate for subject 1 based on that history. Based on information about past health status, it is possible to determine whether the blood pressure has risen suddenly recently or whether the subject has always had a tendency towards high blood pressure. This allows the AI ​​411 to formulate health measures that take into account the subject's long-term health status.

[0072] Furthermore, the data analysis unit 41 may input the subject's past biometric data history and the health measures the subject has taken in the past into the AI ​​411, and have the AI ​​411 formulate a health plan suitable for the subject based on the history and the health measures the subject has taken in the past.

[0073] According to the above embodiment, personalized health management becomes possible for each individual. That is, optimal health measures can be proposed based on each individual's biometric data. Furthermore, the effectiveness of health measures can be quantified. That is, the effectiveness of health measures can be objectively evaluated by comparing data before and after the health measures are implemented. In addition, continuous health management becomes possible. That is, health management can always be performed based on the latest data through regular monitoring. Furthermore, the health measures can be optimized. That is, past data can be accumulated and the accuracy of health measures can be improved through AI411's learning. In addition, oral examinations and saliva tests can be easily performed at home, making it possible to prevent periodontal disease, cavities, and bad breath. Moreover, the initiative to conduct saliva tests that can grasp one's health status has the potential to have a significant impact on future medical care and health management. In particular, being able to diagnose PMS and menopausal symptoms at home, in line with women's life stages, will be a great help to many women.

[0074] The present invention is not limited to the embodiments and modifications described above, and various further modifications are possible. For example, the embodiments and modifications described above are explained in detail for the purpose of clearly illustrating the present invention, and are not necessarily limited to those having all the configurations described. Furthermore, it is possible to replace parts of one modification with other modifications or to combine modifications.

[0075] Furthermore, each of the above configurations, functions, processing units, and processing means may be implemented in hardware, either partially or entirely, by designing them as integrated circuits, for example. Alternatively, each of the above configurations and functions may be implemented in software by a processor interpreting and executing programs that implement each function. Information such as programs, tables, and files that implement each function can be stored in memory, recording devices such as hard disks and SSDs, or recording media such as IC cards, SD cards, and DVDs. Also, control lines and information lines are shown only if deemed necessary for explanation, and not all control lines and information lines are necessarily shown in the actual product. In practice, it can be assumed that almost all configurations are interconnected.

[0076] The present invention can be provided in various forms, not limited to systems or devices, but also including methods, computer-readable programs, and so on.

[0077] 1...Target person, 10...Health management system, 20...Sensor group, 21...Oral sensor, 22...Health meter, 23...Hormone sensor, 24...Camera, 25...Wearable device, 201...Measurement results, 202...Sensor supplementary information, 30...Terminal device, 31...Data acquisition unit, 32...Analysis request unit, 33...Storage unit, 34...Communication unit, 35...Display unit, 40...Analysis device, 41...Data analysis unit, 42...Communication unit, 411...AI, N...Network

Claims

1. A health management system comprising: a data collection unit that collects biometric data relating to the health status of a subject by measuring at least one of the subject's exhaled breath components and saliva components; a data analysis unit that causes AI to formulate health measures suitable for the subject based on the biometric data; and a display unit that displays the health measures formulated by the AI.

2. A health management system according to claim 1, wherein the data analysis unit causes the AI ​​to analyze the biological data, evaluate the health status of the subject, and formulate health measures appropriate to the health status.

3. A health management system according to claim 2, wherein the data analysis unit inputs attribute information of the subject into the AI ​​and causes the AI ​​to formulate health measures suitable for the subject using the attribute information of the subject.

4. A health management system according to any one of claims 1 to 3, wherein the data analysis unit causes the AI ​​to evaluate the changes in the health status of the subject based on the biological data measured from the subject before and after the planning of the health measures, and to modify the health measures based on the changes in the health status.

5. A health management system according to any one of claims 1 to 3, wherein the biometric data includes data measured by at least one of a health meter, a hormone sensor, a camera, and a wearable device.

6. A health management system according to any one of claims 1 to 3, wherein the biometric data includes data obtained by measuring bad breath, measuring hormone levels of salivary components, measuring vitamins and minerals, acquiring images of the oral cavity with a camera, acquiring images of facial color and skin, DNA analysis, blood tests, measuring vital signs, measuring body composition, measuring gut microbiota, measuring gene expression profiles, measuring periodic progress information, and acquiring steps, heart rate, blood pressure, sleep patterns, and physical activity levels using a wearable device, or a combination thereof.

7. A health management system according to any one of claims 1 to 3, wherein the data analysis unit includes at least one of the following to cause the AI ​​to formulate personalized health measures for the subject: points for oral care, improvement of toothbrushing methods, advice on toothpaste, recommendation of medicines or supplements for improving hormone balance, self-care for stress reduction, adjustment of autonomic nervous system balance, exercise, stretching, and yoga suggestions.

8. A health management system according to any one of claims 1 to 3, wherein the data analysis unit causes the AI ​​to formulate health measures relating to at least one of oral care, PMS care, exercise care, and nutritional care.

9. A health management system according to any one of claims 1 to 3, wherein the data analysis unit causes the AI ​​to formulate health measures including at least one of the following: suggesting a visit to a specialist if gum inflammation is observed; suggesting dietary improvements or toothpaste if there is a high risk of tooth decay; and suggesting early detection of tooth decay to encourage early treatment.

10. A health management system according to any one of claims 1 to 3, wherein the data analysis unit causes the AI ​​to output information that estimates the future health status of the subject if the subject implements the health measures devised by the AI.

11. A health management system according to claim 10, wherein the data analysis unit causes the AI ​​to estimate and output in a comparable manner the difference in the subject's future health status between the case in which the subject implements the health measures devised by the AI ​​and the case in which the subject does not implement the health measures.

12. A health management system according to any one of claims 1 to 3, wherein the data analysis unit inputs the history of the subject's past biological data into the AI ​​and causes the AI ​​to formulate health measures suitable for the subject based on the history.

13. A health management system according to claim 12, wherein the data analysis unit inputs the subject's past biometric data history and the health measures the subject has previously implemented into the AI, and causes the AI ​​to formulate health measures suitable for the subject based on the history and the health measures the subject has previously implemented.

14. A health management method using a health management system, comprising: a collection step of collecting biometric data relating to the health status of a subject by measuring at least one of the subject's exhaled breath components and saliva components; a data analysis step of causing an AI to formulate health measures suitable for the subject based on the biometric data; and a display step of displaying the health measures formulated by the AI.

15. A program for causing a computer to function as a health management system, comprising: a collection step of collecting biometric data relating to the health status of a subject by measuring at least one of the subject's breath components and saliva components; a data analysis step of causing an AI to formulate health measures suitable for the subject based on the biometric data; and a display step of displaying the health measures formulated by the AI, the program causing the computer to execute these steps.

Images