Health management system, health management method, and program

Abstract

Formulate health measures suitable for the health condition of the subject. 【Solution means】 The health management system includes a data collection unit that collects biological data related to the health condition of the subject by measuring at least one of the exhaled components and saliva components of the subject, a data analysis unit that causes AI to formulate health measures suitable for the subject based on the biological 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 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 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 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 a health measure suitable for the subject's health status 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 status.

Means for Solving the Problems

[0007] This application includes a plurality of means for solving at least 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 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 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 cause the AI to analyze the biological data, evaluate the health state of the subject, and formulate a health measure suitable for the health state.

[0010] The data analysis unit can input the attribute information of the subject to the AI and formulate a health measure suitable for the subject using the attribute information of the subject.

[0011] The data analysis unit can cause the AI to evaluate the change in the health state of the subject based on the biological data measured from the subject before and after formulating the health measure, and modify the health measure based on the change in the health state.

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

[0013] The biological data can include data obtained by at least one or a combination of measurement of bad breath, measurement of hormone levels in saliva components, measurement of vitamins and minerals, acquisition of an image of the oral cavity by a camera, acquisition of an image of the complexion and skin, DNA analysis, blood test, measurement of vital signs, measurement of body composition, measurement of intestinal flora, measurement of gene expression profiles, measurement of periodic progress information, and acquisition of the number of steps, heart rate, blood pressure, sleep pattern, and physical activity amount using a wearable device.

[0014] The data analysis unit can cause the AI to include at least one of the following: points for oral care, improvement of toothbrushing methods, advice on dentifrices, recommendations for pharmaceuticals and supplements for improving hormone balance, self-care for stress reduction, adjustment of the balance of the autonomic nerves, exercise, stretching, and yoga, and can formulate health measures individualized for the subject.

[0015] The data analysis unit can cause the AI to formulate health measures related to at least one of oral management, PMS management, exercise management, and nutrition management.

[0016] When gum inflammation is observed, the data analysis unit can cause the AI to include at least one of the following in the formulated health measures: a recommendation to visit a specialist, an improvement in diet or a recommendation for a dentifrice when the risk of dental caries is high, detection of early dental caries, and a recommendation to promote early treatment.

[0017] The data analysis unit can cause the AI to output information that estimates the future health state of the subject when the subject implements the health measures formulated by the AI.

[0018] The data analysis unit can cause the AI to estimate the difference in the future health state of the subject between the case where the subject implements the health measures formulated by the AI and the case where the subject does not implement the health measures, and output the results in a comparable manner.

[0019] The data analysis unit can cause the AI to input the history of the subject's past biological data and formulate health measures suitable for the subject based on the history.

[0020] The data analysis unit can cause the AI to input the history of the subject's past biological data and the health measures the subject has implemented in the past, and formulate health measures suitable for the subject based on the history and the health measures the subject has implemented 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, which includes a collection step of collecting biological data regarding the health state of a subject, the biological data being 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, which causes the computer to execute a collection step of collecting biological data regarding the health state of a subject, the biological data being 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.

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

Figure 2

Figure 3

Figure 4

Embodiments for Carrying Out the Invention

[0026] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In all the drawings for explaining the embodiment, the same members are generally denoted by the same reference numerals, and repeated explanations thereof are omitted. Further, in the following embodiments, the components (including element steps, etc.) are not necessarily essential unless otherwise explicitly stated or considered to be clearly essential in principle. Also, when it is said that "consisting of A", "comprising A", "having A", or "including A", other elements are not excluded unless it is explicitly stated that only that element is involved. Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of components, etc., unless otherwise explicitly stated or considered not to be so in principle, those substantially approximating or similar to the shape, etc. are included.

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

[0028] Based on biometric data such as the exhaled breath components (including bad breath), saliva components, hormone levels, images, body temperature, blood pressure, heart rate, number of steps, sleep pattern, and physical activity level of subject 1, the health management system 10 estimates the health status of subject 1 and formulates health measures suitable for the health status of subject 1. Here, the health measures include at least one of self-care that subject 1 performs by himself / herself, treatments that subject 1 receives from others, and medical consultations with specialists, etc. However, self-care may be included in the treatments.

[0029] The health management system 10 includes a sensor group 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 the subject 1. Further, 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 not individually distinguishing the oral sensor 21, the health meter 22, the hormone sensor 23, the camera 24, and the wearable device 25, each is referred to as a sensor.

[0031] The oral sensor 21 measures the components of the exhaled breath of the subject 1. Also, the oral sensor 21 measures the components of the saliva collected from the subject 1. The health meter 22 measures the weight, body fat percentage, etc. of the subject 1. The hormone sensor 23 measures the levels of various hormones, vitamins, and mineral components from body fluids (such as saliva, blood, sweat, urine, etc.) collected from the subject 1. The camera 24 images the inside of the oral cavity (teeth, gums, gingiva) of the subject 1 and the surrounding conditions (color of the face and lips, skin condition). The camera 24 can, for example, utilize the camera built into a smartphone that realizes the terminal device 30. The wearable device 25 is worn by the subject 1 and measures the body temperature (skin temperature), blood pressure, heart rate, physical activity amount (such as the number of steps), etc. of the subject 1.

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

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

[0034] Further, the terminal device 30 is connected to the analysis device 40 via a network N which is a two-way communication network typified by the Internet. The terminal device 30 transmits the measurement results of each sensor as biological data to the analysis device 40 to request analysis. Further, the terminal device 30 receives the evaluation of the health state of the subject 1 obtained as the analysis result of the biological data and the health measures from the analysis device 40 and presents them to the user.

[0035] FIG. 2 shows a configuration example of the functional blocks of the terminal device 30. The terminal device 30 includes functional blocks of a data collection unit 31, an analysis request unit 32, a storage unit 33, a communication unit 34, and a display unit 35. The terminal device 30 is composed of a computer such as a smartphone, a tablet PC (personal computer), a notebook PC, a desktop PC, a dedicated terminal, etc., which includes a processor such as a CPU (Central Processing Unit), a memory such as a DRAM (Dynamic Random Access Memory), a storage such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), an input device such as a keyboard, a mouse, a touch panel, etc., an output device such as a display, and a communication module such as a NIC (Network Interface Card) (none of which are shown).

[0036] The data collection unit 31 and the analysis request unit 32 are realized by the processor of the computer executing a predetermined program. The data collection unit 31 collects the 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 collection unit 31 has a function of receiving an 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 indicating the state and characteristics of the body of the subject 1, such as, for example, the DNA (Deoxyribo Nucleic Acid) of the subject 1, blood test result data, hormone levels, vital signs, body composition, intestinal flora, gene expression profile, and periodic progress information such as a PMS (Premenstrual Syndrome) diary.

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

[0039] The storage unit 33 consists of the memory and storage of the computer. The storage unit 33 stores and accumulates the measurement results 201 collected from each sensor of the sensor group 20 by the data collection unit 31. The communication unit 34 consists of the communication module of the computer. The communication unit 34 connects to each sensor of the sensor group 20 wirelessly or by wire to communicate various data. In addition, the communication unit 34 connects to the analysis device 40 via the network N to communicate various data.

[0040] The display unit 35 consists of the output device of the computer. The display unit 35 displays an operation screen for the user. On the operation screen, for example, in addition to an input field for the user to input the attribute information of the subject 1 (such as age, gender, height, weight, address, occupation, working hours, free time, medical history, past surgical history, etc.), the progress status when health measures are being planned by the analysis device 40 and information regarding the planned health measures are displayed in text, numerical values, 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 going 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 includes functional blocks of a data analysis unit 41 and a communication unit 42. The analysis device 40 is, for example, a computer such as a server computer including a processor such as a CPU, a memory such as a DRAM, a storage such as an HDD or an SSD, an input device such as a keyboard, a mouse, or 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 analyzes the biological data transmitted from the terminal device 30 with respect to the AI (Artificial Intelligence) 411, evaluates the health state of the subject 1, and instructs the AI 411 to 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 states 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, the nutritional state, and the state of cardiopulmonary function.

[0045] The health measures include, for example, points of oral care, improvement of toothbrushing 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 for stress reduction (including stretching, yoga, etc.), treatments such as massage, and medical examinations and treatments at hospitals.

[0046] AI411 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 management, when AI411 evaluates that the risk of periodontal disease has increased based on changes in exhaled 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 cavities in the oral cavity, it proposes seeing a specialist or early treatment, or when it evaluates that the risk of tooth decay is high based on the acidity of the collected saliva, it proposes improving the diet or using fluoride toothpaste.

[0048] For example, as an example of health management, when AI411 measures specific volatile organic compounds (VOCs) produced by lung cancer cells from exhaled components, it evaluates that there may be a possibility of lung cancer, or 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, or when it detects that the concentration of nitric oxide indicating tracheal inflammation is high, it evaluates that there may be a possibility of asthma, or 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, or 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, or 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, or when it detects a specific compound pattern caused by some digestive system diseases, it evaluates that there may be a possibility of a digestive disease, and is trained to propose seeing a specialist.

[0049] In addition, as an example of women's PMS management, when it is evaluated that PMS symptoms can be predicted based on fluctuations in predetermined hormone levels contained in bodily fluids collected periodically, AI411 proposes a PMS self-care plan, proposes coping methods based on predetermined symptoms, proposes points for getting along well with PMS, proposes relaxation methods or appropriate nutritional supplements when it is evaluated that the stress level is high based on fluctuations in predetermined hormone levels, and proposes supplements for adjusting hormone balance or improvement of lifestyle habits when it is evaluated that there are signs of menopause based on fluctuations in predetermined hormone levels.

[0050] In addition, as an example of exercise management, when it is evaluated that there is a lack of exercise based on the daily physical activity level, AI411 proposes an individualized exercise plan, adjusts the intensity and frequency of exercise in the exercise plan based on the heart rate and stress level, and proposes supplementation of necessary nutrients, improvement of diet content, and intake of supplements when it is evaluated that there is nutritional deficiency or imbalance based on the analysis of saliva components.

[0051] The data analysis unit 41 can obtain the attribute information of the subject 1 by receiving an input from the subject 1. The data analysis unit 41 may input the attribute information of the subject 1 to AI411 and have AI411 formulate a self-care plan suitable for the subject 1 to execute by himself / herself as a health measure. In addition, the data analysis unit 41 may input the attribute information of the subject to AI411 and have AI411 formulate a treatment received by the subject 1 from others as a health measure.

[0052] In addition, after a predetermined period (e.g., one week) assumed to have elapsed since the proposed health measure was presented to the subject 1 and its effects are expected to appear, the data analysis unit 41 requests the terminal device 30 to recollect biometric data, and instructs the AI 411 to compare the health status based on the biometric data before and after the health measure formulation, evaluate the effect of the health measure, or modify the health measure, and feeds back the evaluation of the effect of the health measure obtained from the AI 411 or the modified health measure to the subject 1. Further, via the terminal device 30, it may be possible to monitor whether the subject 1 is implementing the proposed health measure, or to give a caution warning or advice if not. Furthermore, it may be possible to convey the effect of the health measure or to guide the implementation of the health measure (e.g., gently encourage, etc.).

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

[0054] <Health management process by the health management system 10> FIG. 4 is a flowchart for explaining an example of the health management process by the health management system 10. The health management process is started in response to a predetermined operation from the user to the terminal device 30.

[0055] Note that, as a premise of the health management process, it is assumed that various measurement items of the subject 1 have been measured using each sensor constituting the sensor group 20.

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

[0057] Note that the analysis request unit 32 may transmit the measurement results 201 for the most recent one time of each sensor stored in the storage unit 33 and the sensor supplementary information 202 to the analysis device 40 as biological data, and the analysis device 40 may hold the biological data for the past predetermined number of times in association with the subject 1.

[0058] Next, the data analysis unit 41 of the analysis device 40 analyzes the biological data transmitted from the terminal device 30 with respect to the AI 411, evaluates the health state of the subject 1, and instructs the AI 411 to formulate a health measure suitable for the health state of the subject 1 based on the evaluated health state (step S2).

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

[0060] Note that the data analysis unit 41 may instruct the AI 411 to display or output a warning at a level such as the range to be dealt with by the subject 1 himself / herself, the range to be dealt with by a medical institution, or the range requiring urgency, as the evaluation of the health state of the subject 1 and the health measure, and transmit the information output by the AI 411 according to the instruction to the terminal device 30.

[0061] Next, the communication unit 34 of the terminal device 30 receives the evaluation of the health state of the subject 1 and the health measure, and the display unit 35 displays the evaluation of the health state of the subject 1 and the health measure on the screen and presents them to the user (step S4).

[0062] After a predetermined period (for example, one week, three months, half a year) is assumed to have elapsed since the health measures were presented to the subject 1 in step S4 and the effects thereof appear, next, the data analysis unit 41 of the analysis device 40 requests the terminal device 30 to recollect biometric data. In response to this request, the data collection unit 31 of the terminal device 30 collects the measurement results 201 from each sensor constituting the sensor group 20 via the communication unit 34, acquires sensor supplementary information 202 from the outside if necessary, and stores it in the storage unit 33. Then, the analysis request unit 32 reads out the measurement results 201 for a predetermined number of times in the past of each sensor stored in the storage unit 33 and the sensor supplementary information 202, and transmits them as biometric 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 states corresponding to the biometric data before and after the presentation of the health measures with the AI 411, evaluates the effect of the health measures (change in the health state), and instructs the correction of the health measures according to the 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 corrected 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 effect of the health measures and the corrected health measures, and the display unit 35 displays the evaluation of the health state of the subject 1 and the health measures on the screen and presents them to the user (step S8). Thus, 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 the subject 1 and the health measures suitable for the subject 1. In addition, the user can check the effects after the subject 1 has implemented the proposed health measures and the health measures modified according to the effects. Also, there may be cases where the health measures previously formulated and proposed to the subject are not effective or are health measures that are difficult for the subject to implement. For example, even if morning walking is proposed as a health measure, it may be difficult for the subject 1 who has difficulty getting up early due to night shift work to execute. According to this health management process, more suitable health measures can be proposed to the subject 1 while reviewing them.

[0066] <Modification example> Regarding the AI 411 used by the data analysis unit 41 of the analysis device 40, it may not be built into the analysis device 40 and may be provided outside the analysis device 40.

[0067] The AI 411 may be a so-called generative AI. The generative AI is a system that is connected to a communication network and utilizes machine learning and natural language processing to generate and output various documents, images, videos, voices, program codes, etc. according to an instruction (prompt). When an API (Application Programming Interface) is provided for the generative AI, the data analysis unit 41 can also access the API function and input an instruction. The generative AI may be locally constructed and accessed by the analysis device 40 via a LAN (Local Area Network), or may be accessed via a WAN (Wide Area Network). Furthermore, from the viewpoints of privacy protection and reduction of network dependence, etc., the generative AI may be built into the terminal device 30. Also, for the generative AI, for example, OpenAI's CHAT-GPT, Google's Gemini, etc. can be used.

[0068] Alternatively, the data analysis unit 41 of the analysis device 40 may be moved to the terminal device 30 to realize the health management system 10 with only the terminal device 30. Or, when the terminal device 30 is a smartphone or a tablet computer, an application program may be installed in the smartphone or the like as the terminal device 30 to realize each of the above functional units. Further, the analysis device 40 (server) may have all the functional units, and information may be presented to the user by a general-purpose browser executed on the terminal device 30, and instruction input may be received.

[0069] Further, the data analysis unit 41 may cause the AI to output information obtained by having the AI 411 estimate the future health state of the subject 1 when the subject 1 implements the health measures planned by the AI 411. Specifically, the data analysis unit 41 causes the AI 411 to output information indicating the future (for example, six months later, one year later, ten years later, etc.) health state (for example, weight, blood pressure, cholesterol level, hormone balance, etc.) of the subject 1 when implementing the planned health measures (for example, points of oral care, improvement of toothbrushing method, advice on toothpaste, nutritional management, recommendation of pharmaceuticals or supplements for improving hormone balance, exercise for stress reduction, etc.). The form of the output may be a display such as a bar graph, a line graph, or a pie graph showing a numerical change.

[0070] In addition, the data analysis unit 41 may cause the AI 411 to estimate the difference in the future health status of the subject 1 when the subject 1 implements the health measures formulated by the AI 411 and when the subject 1 does not implement the health measures, and output them in a comparable manner. Specifically, for example, the data analysis unit 41 causes the AI 411 to estimate the difference in the future health status (e.g., weight, blood pressure, cholesterol level, hormone balance, etc.) of the subject 1 (e.g., after six months, one year, ten years) when the subject 1 implements the health measures formulated by the AI 411 (e.g., points of oral care, improvement of brushing methods, advice on toothpaste, nutrition management, recommendation of pharmaceuticals and supplements for improving hormone balance, exercise for stress reduction, etc.) and when the subject 1 does not implement the health measures, and then instructs the AI 411 to output a display image that makes it easy to compare the two. Then, the data analysis unit 41 causes the terminal device to display the image output by the AI 411 (e.g., an image that arranges or superimposes a bar graph, etc. when the subject 1 implements the health measures and a bar graph, etc. when the subject 1 does not implement the health measures).

[0071] In addition, the data analysis unit 41 may input the history of the past biological data of the subject 1 (e.g., data indicating the long-term health status in the past six months, one year, five years, etc.) to the AI 411, and cause the AI 411 to formulate health measures suitable for the subject 1 based on the history. Based on the information on the past health status, it is possible to determine whether the blood pressure has suddenly increased recently or whether the blood pressure has a tendency to be high in the first place. As a result, the AI 411 can be caused to formulate health measures taking into account the long-term health status.

[0072] In addition, the data analysis unit 41 may input the history of the past biological data of the subject 1 and the health measures implemented by the subject 1 in the past to the AI 411, and cause the AI 411 to formulate health measures suitable for the subject 1 based on the history and the health measures implemented by the subject 1 in the past.

[0073] According to the above embodiment, personalized health management for the target person 1 becomes possible. That is, based on the biological data of each individual, optimal health measures can be proposed. Also, the quantification of the effects of health measures becomes possible. That is, by comparing the data before and after the health measures, the effects of the health measures can be objectively evaluated. Also, continuous health management becomes possible. That is, through regular monitoring, health management can always be carried out based on the latest data. Also, the optimization of health measures can be carried out. That is, by accumulating past data and through the learning of AI411, the accuracy of health measures can be improved. Also, oral examinations and saliva tests can be easily performed at home, so it is possible to prevent periodontal disease, tooth decay, and bad breath. Also, the effort of saliva tests that can grasp the health status may have a great impact on future medical care and health management. In particular, being able to diagnose PMS, menopause disorders, etc. at home, which is in tune with women's lifetimes, is a great help to many women.

[0074] The present invention is not limited to the above-described embodiments and modifications, and various further modifications are possible. For example, the above-described embodiments and modifications have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Also, it is possible to replace a part of one modification with another modification or to combine the modifications.

[0075] Also, each of the above configurations, functions, processing units, processing means, etc. may be realized in hardware by designing a part or all of them, for example, by using an integrated circuit. Also, each of the above configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as programs, tables, files, etc. that realize each function can be placed in a memory, a recording device such as a hard disk or SSD, or a recording medium such as an IC card, SD card, or DVD. Also, the control lines and information lines show those considered necessary for explanation, and not all control lines and information lines are necessarily shown on the product. In reality, it may be considered that almost all configurations are interconnected.

[0076] The present invention can be provided in various forms, not limited to systems and devices, such as methods, computer-readable programs, etc.

Description of Reference Numerals

[0077] 1... Subject, 10... Health management system, 20... Sensor group, 21... Oral sensor, 22... Health meter, 23... Hormone sensor, 24... Camera, 25... Wearable device, 201... Measurement result, 202... Sensor supplementary information, 30... Terminal device, 31... Data collection unit, 32... Analysis request unit, 33... Memory 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 biological data related to a health condition of a subject by measuring at least one of an exhaled breath component and a saliva component of the subject; A data analysis unit that causes the generation AI to plan health measures suitable for the subject; A display unit that displays the health measures proposed by the generation AI, The data analysis unit inputs a history of the subject's past biological data to the generation AI, and causes the generation AI to plan the health measures suitable for the subject based on the history. A health management system comprising:

2. The health management system according to claim 1, The data analysis unit inputs the subject's past biometric data history and the health measures taken by the subject in the past to the generation AI, and has the generation AI plan health measures suitable for the subject based on the history and the health measures taken by the subject in the past. A health management system comprising:

3. A health management method by a health management system, comprising: A collection step of collecting biological data related to a health condition of the subject by measuring at least one of an exhaled breath component and a saliva component of the subject; A data analysis step for having the generating AI develop health measures suitable for the subject; A display step of displaying the health measures proposed by the generating AI, The data analysis step includes inputting a history of the subject's past biological data into the generation AI, and having the generation AI develop the health measures suitable for the subject based on the history. A health management method comprising:

4. A program for causing a computer to function as a health management system, A collection step of collecting biological data related to a health condition of the subject by measuring at least one of an exhaled breath component and a saliva component of the subject; A data analysis step for having the generating AI develop health measures suitable for the subject; A display step of displaying the health measures proposed by the generating AI, The data analysis step includes inputting a history of the subject's past biological data into the generation AI, and having the generation AI develop the health measures suitable for the subject based on the history. program.

Images