Health management systems, health management methods, and programs

Abstract

Develop health measures appropriate to the health condition of the target individuals. [Solution] The health management system comprises 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 an 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.

Description

Technical Field

[0001] The present invention relates to a health management system, a health management method, and a program.

Background Art

[0002] It is known that a person's bad breath represents the health condition of that person (hereinafter referred to as the subject). For example, Patent Document 1 describes a bad breath measurement 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 visceral diseases such as gastrointestinal diseases.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

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

[0005] However, it has been difficult to formulate a health measure suitable for the subject's health condition based on the outputs of those various sensors, or to quantify the effect of the formulated health measure.

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

Means for Solving the Problems

[0007] This application includes a plurality of means for solving at least a part of the above problems. If an example thereof is given, it is as follows.

[0008] To solve the above problems, a health management system according to one aspect of the present invention is characterized by 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 an 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.

[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 cause the AI ​​to 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 predicts 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 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.

[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 a health plan suitable for the subject based on the history and the health measures the subject has taken in the past.

[0021] A health management method according to another aspect of the present invention is a health management method by a health management system, including a collection step of collecting biological data regarding the health state of a subject, which is obtained by measuring at least one of the exhaled components and saliva components of the subject; a data analysis step of causing an AI to formulate a health measure suitable for the subject based on the biological data; and a display step of displaying the health measure formulated by the AI.

[0022] A program according to still another aspect of the present invention is a program for causing a computer to function as a health management system, including a collection step of collecting biological data regarding the health state of a subject, which is obtained by measuring at least one of the exhaled components and saliva components of the subject; a data analysis step of causing an AI to formulate a health measure suitable for the subject based on the biological data; and a display step of displaying the health measure formulated by the AI, and causing the computer to execute these steps.

Advantages of the Invention

[0023] According to the present invention, a health measure suitable for the health state of a subject can be formulated.

[0024] Problems, configurations, and effects other than those described above will be clarified by the description of the following embodiments.

Brief Description of the Drawings

[0025] [Figure 1] FIG. 1 is a diagram showing a configuration example of a health management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing a configuration example of a terminal device. [Figure 3] FIG. 3 is a diagram showing a configuration example of an analysis device. [Figure 4] FIG. 4 is a flowchart for explaining an example of health management processing by a health management system.

Modes for Carrying Out the Invention

[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 otherwise explicitly stated, or unless they are clearly essential in principle. Furthermore, when referring to "consisting of A," "being made of A," "having A," or "including A," other elements are not excluded unless otherwise explicitly stated. Similarly, in the following embodiment, when referring to the shape, positional relationship, etc., of the components, etc., it includes those that are substantially similar or approximate to their shape, etc., unless otherwise explicitly stated, or unless otherwise clearly stated in principle.

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

[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, imaging, body temperature, blood pressure, heart rate, steps taken, sleep patterns, and physical activity levels, and develops 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 regarding 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.).

[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 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 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 the following functional blocks: 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. 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 memory 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 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 health measures being formulated by the analysis device 40, and information on the formulated health measures, displayed in text, numbers, graphs, etc.

[0041] Furthermore, the measurement results 201 from some or all of the sensors constituting the sensor group 20 may be transmitted directly to the analysis device 40 without going through the terminal device 30. In that case, each sensor will attach identification information for identifying the subject 1 to the measurement result 201 and transmit it to the analysis device 40, and the analysis device 40 will then store and manage the measurement results 201 from the sensors in association with each subject 1.

[0042] Figure 3 shows an example of the configuration of the functional blocks of the analysis device 40. The analysis device 40 has functional blocks consisting of a data analysis unit 41 and a communication unit 42. The analysis device 40 consists of a computer such as a server computer, which includes, for example, a processor such as a CPU, memory such as DRAM, storage such as an HDD or SSD, input devices such as a keyboard, mouse, or touch panel, output devices 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 computer's processor executing a predetermined program. The data analysis unit 41 instructs the AI ​​(Artificial Intelligence) 411 to analyze the biometric data transmitted from the terminal device 30, evaluate the health status of subject 1, and formulate appropriate health measures for subject 1 based on the evaluated health status, and obtains the results.

[0044] Health status includes, for example, the condition 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.), PMS status, menopausal symptoms, nutritional status, and cardiopulmonary function status.

[0045] Health measures include, for example, tips on oral care, improving brushing techniques, advice on toothpaste, nutritional management, recommendations for medications and supplements to improve hormone balance, balancing the autonomic nervous system, suggesting exercises to reduce stress (including stretching and yoga), treatments such as massage, and hospital visits and treatments.

[0046] AI411 is a model that has been pre-trained to take the biometric data of subject 1 as input and output subject 1's health status and health measures corresponding to subject 1's health status.

[0047] For example, AI411 is trained to suggest appropriate brushing methods and toothpastes when it assesses an increased risk of periodontal disease based on changes in regularly collected breath and saliva components as an example of oral care; to suggest a visit to a specialist or early treatment when it assesses inflammation or cavities in the oral cavity based on analysis of oral images; and to suggest dietary improvements or the use of fluoride toothpaste when it assesses a high risk of cavities based on the acidity of collected saliva.

[0048] For example, as an example of health management, AI411 is trained to suggest a visit to a specialist if it detects certain volatile organic compounds (VOCs) produced by lung cancer cells in the breath components, if an increase in the concentration of acetone produced as a result of fat metabolism is detected, if a high concentration of nitric oxide indicating tracheal inflammation is detected, if an increase in the concentration of certain volatile organic compounds produced due to impaired liver function is detected, if an increase in the concentration of certain volatile organic compounds produced due to impaired kidney function is detected, if an infection is detected if specific compounds caused by certain infections such as tuberculosis are detected, or if a specific pattern of compounds caused by certain gastrointestinal diseases is detected.

[0049] Furthermore, AI411 is trained to, as an example of managing PMS in women, suggest 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; suggest 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 menopause 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 (e.g., one week) has elapsed since the planned health measures were presented to the subject 1, for which the effects are expected to 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 modified health measures obtained from the AI ​​411. 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 1's health status by the data analysis unit 41 and the self-care plan formulated for 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 on 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 from 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 10 minutes 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 devised 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 can handle themselves, what needs to 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, 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 subject 1 and the health measures on the screen and presents them to the user (step S8). With this, the health management process 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 also 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] <Variation> 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] AI411 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 to 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 embedded in 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 handled 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 AI 411 (for example, an image showing a bar graph of the case where 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] Alternatively, 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 that 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. [Explanation of Symbols]

[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 data collection unit that collects at least one of exhaled breath components and saliva components measured from a subject, and at least one or a combination of steps, heart rate, blood pressure, and sleep pattern using a wearable device as the subject's biometric data, A data analysis unit causes the generating AI to formulate personalized health measures for the subject, including points for oral care, based on the subject's biometric data collected by the data collection unit. A display unit that displays the health measures devised by the AI ​​generation, A health management system characterized by having the following features.

2. A data collection unit that collects at least one of breath components and saliva components measured from a subject, and at least one or a combination of measurement of bad breath, acquisition of images of the oral cavity by a camera, and acquisition of images of facial color and skin as the subject's biological data, A data analysis unit causes the generating AI to formulate health measures related to PMS management based on the biometric data of the subject collected by the data collection unit, A display unit that displays the health measures devised by the AI ​​generation, A health management system characterized by having the following features.

3. A health management system according to claim 1, The data analysis unit causes the generating AI to output information that predicts the future health status of the subject if the subject implements the health measures devised by the generating AI. A health management system characterized by the following features.

4. A health management system according to claim 1, The data analysis unit instructs the generating AI to estimate the difference in the subject's future health status between the case in which the subject implements the health measures devised by the generating AI and the case in which the subject does not implement the health measures, and outputs the results in a comparable manner. A health management system characterized by the following features.

5. A health management method using a health management system, A data collection step of collecting at least one of the breath components and saliva components measured from the subject, and at least one or a combination of steps, heart rate, blood pressure, and sleep patterns using a wearable device, as the subject's biometric data. A data analysis step in which the generating AI is instructed to formulate personalized health measures for the subject, including points for oral care, based on the biometric data of the subject collected in the data collection step, A display step that displays the health measures devised by the generating AI, A health management method characterized by including [a certain element].

6. A health management method using a health management system, A data collection step in which at least one of the breath components and saliva components measured from the subject, and at least one or a combination of the measurement of bad breath, acquisition of oral cavity images using a camera, and acquisition of facial color and skin images are collected as the subject's biometric data, A data analysis step in which the generating AI is instructed to formulate health measures related to PMS management based on the biometric data of the subject collected in the data collection step, A display step that displays the health measures devised by the generating AI, A health management method characterized by including [a certain element].

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