Health care guidance support system, information processing apparatus, and program

Abstract

To improve a support technique for health care guidance.SOLUTION: The present invention is directed to a health care guidance support system using an information processing apparatus for executing support and advise of health actions for a target person for health guidance. The information processing apparatus receives target person information relating to a target person, selects health information to be presented to the target person and reference information from the target person information and a learned model subjected to machine learning for estimating the health information to be presented to the target person and the reference information relating to health guidance for the target person, and outputs the selected health information and reference information with setting priority in view of easiness in acceptance by the target person.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] The present disclosure relates to a health guidance support system, an information processing device, and a program. [Background technology]

[0002] Technologies for supporting health guidance such as specific health guidance have been known for some time. For example, Patent Document 1 discloses a technology for creating a document that effectively encourages a subject to proactively receive health guidance, etc., based on the subject's health data (e.g., medical examination results) and at least one of their health consciousness, environment, and knowledge. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7262979 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, in specific health guidance, a health counselor (user) gives advice to a subject on health management or health promotion methods, but this advice is largely based on the user's own experience. The technology in Patent Document 1 focuses on creating documents that make subjects aware of the need to actively receive health guidance, but does not consider technology for effectively presenting health information related to health guidance or technology for supporting the presentation of health information.

[0005] After extensive research into conventional health guidance support means, the inventors of the present application concluded that experienced health counselors (users) use their experience to provide appropriate guidance to each individual, which contributes to the realization of health management or health promotion for each individual. In view of the above circumstances, an object of the present disclosure is to provide an information processing device and an information processing method for implementing a new technology for supporting health guidance. [Means for solving the problem]

[0006] (1) A health guidance support system according to an embodiment of the present disclosure is a health guidance support system using an information processing device for a health counselor (user) to provide support and advice on health behavior to a subject of health guidance, The information processing device, Accepting subject information relating to the subject; selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; The selected health information and reference information are output after determining a priority based on the acceptability of the subject.

[0007] (2) A health promotion support system according to an embodiment of the present disclosure is the health promotion support system according to (1), The reference information includes at least one of classification information of the personality of the subject, character profile information of the subject, and preference information of the subject.

[0008] (3) A health guidance support system according to one embodiment of the present disclosure is a health guidance support system as described in (1) or (2), wherein the subject's preference information includes information relating to at least one of the subject's exercise preferences and the subject's health activities.

[0009] (4) A health promotion support system according to an embodiment of the present disclosure is the health promotion support system according to any one of (1) to (3), The health information is displayed in the form of a plurality of cards, and the cards are displayed in order of priority determined by the subject's acceptability.

[0010] (5) A health promotion support system according to an embodiment of the present disclosure is the health promotion support system according to any one of (1) to (4), The information processing device includes: Feedback information on the health guidance given to the subject is received and displayed.

[0011] (6) A health promotion support system according to an embodiment of the present disclosure is the health promotion support system according to any one of (1) to (5), The subject information includes information on eating habits, and the reference information includes suggested information on eating habits.

[0012] (7) An information processing device according to an embodiment of the present disclosure includes: An information processing device including a control unit, The control unit Accept information on individuals who are eligible for health guidance, selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; The selected health information and reference information are output after determining a priority based on the acceptability of the subject.

[0013] (8) A program according to an embodiment of the present disclosure includes: On the computer, Accepting information on individuals who are the targets of health guidance; selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; outputting the selected health information and reference information after determining a priority based on acceptability by the subject; Execute the following. [Effects of the Invention]

[0014] According to one embodiment of the present disclosure, a new technology for supporting health guidance is provided. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a block diagram showing a schematic configuration of an information processing device. [Figure 3] FIG. 2 is a block diagram showing a schematic configuration of a terminal device. [Figure 4] 10 is a flowchart illustrating an operation of the information processing device. [Figure 5] FIG. 10 illustrates an example of a user interface. [Figure 6] FIG. 10 illustrates an example of a user interface. [Figure 7] 10 is an example of detailed health information. [Figure 8] 10 is an example of information related to classification information of a subject's personality. [Figure 9] 10 is an example of information related to a predicted person image. [Figure 10] This is an example of information related to favorite exercise and health behaviors. [Figure 11] FIG. 10 illustrates an example of a user interface. [Figure 12] FIG. 10 illustrates an example of a user interface. [Figure 13] FIG. 10 illustrates an example of a user interface. DETAILED DESCRIPTION OF THE INVENTION

[0016] Hereinafter, embodiments of the present disclosure will be described.

[0017] The inventors of the present invention believe that the reason why an experienced health counselor (user) can provide appropriate guidance to each subject is that the health counselor provides guidance (advice) taking into account the subject's receptivity to the advice. They also believe that the subject's receptivity to advice depends on the subject's personality and lifestyle, and have completed the present invention based on this belief.

[0018] (Outline of the embodiment) The outline and configuration of a health promotion support system 1 according to this embodiment will be described with reference to FIG.

[0019] A health guidance support system 1 (hereinafter sometimes referred to as "system 1") according to this embodiment includes an information processing device 10 and a terminal device 20. The information processing device 10 and the terminal device 20 are communicably connected to a network 30, which may include, for example, a mobile communication network and the Internet. In this embodiment, the system 1 is used by a health counselor or the like to provide support and advice on health behavior to a recipient of health guidance. Note that this embodiment describes a case in which the system 1 is used by a health counselor to provide support and advice on health behavior to a recipient of health guidance, but is not limited to this. For example, an AI assistant or the like may also be used to provide support and advice on health behavior to a recipient of health guidance. Health guidance includes, for example, specific health guidance, lifestyle-related disease prevention guidance, metabolic syndrome guidance, health guidance for pregnant women, infant health guidance, school health guidance, prevention of aggravation, and recommendation to receive medical treatment. In this embodiment, the health guidance is described as specific health guidance, but is not limited to this.

[0020] The information processing device 10 is, for example, a server device installed in a data center or the like. For example, the information processing device 10 is a server belonging to a cloud computing system or other computing system. The information processing device 10 is capable of communicating with a terminal device 20 via a network 30. Note that while FIG. 1 shows an example in which the system 1 includes one information processing device 10, this is not limiting. The system 1 may include two or more information processing devices 10.

[0021] The terminal device 20 is any device used by each user, such as a counselor for specific health guidance. For example, a general-purpose electronic device such as a smartphone or a tablet terminal, or a dedicated electronic device, can be used as the terminal device 20. Note that while FIG. 1 shows an example in which the system 1 is equipped with one terminal device 20, this is not limiting. The system 1 may be equipped with two or more terminal devices 20.

[0022] First, an overview of this embodiment will be described, and details will be provided later. The health promotion support system 1 is a system using an information processing device 10 that enables a health counselor or the like to provide support and advice on health behavior to a subject of health promotion. The information processing device 10 of the health promotion support system 1 receives subject information related to the subject. The information processing device 10 also selects health information and reference information to be presented to the subject from the subject information and a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health promotion for the subject. The information processing device 10 then prioritizes the selected health information and reference information based on the subject's acceptability and outputs them.

[0023] In this way, the health promotion support system 1 according to this embodiment selects health information and reference information to be presented to the subject from the trained model and subject information, prioritizes the selected health information and reference information based on the subject's acceptability, and outputs the selected health information and reference information. This improves the likelihood that the health information and reference information to be presented to the subject can be presented in a form that is easy for the subject to accept, thereby improving the health promotion support technology.

[0024] Next, each component of the health promotion support system 1 will be described in detail.

[0025] (Configuration of information processing device) As shown in FIG. 2, the information processing device 10 includes a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and a communication unit 15.

[0026] The control unit 11 includes at least one processor, at least one dedicated circuit, or a combination thereof. The processor is a general-purpose processor such as a central processing unit (CPU) or a graphics processing unit (GPU), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). The control unit 11 executes processes related to the operation of the information processing device 10 while controlling each unit of the information processing device 10.

[0027] The storage unit 12 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory is, for example, a random access memory (RAM) or a read-only memory (ROM). The RAM is, for example, a static random access memory (SRAM) or a dynamic random access memory (DRAM). The ROM is, for example, an electrically erasable programmable read-only memory (EEPROM). The storage unit 12 functions as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores data used in the operation of the information processing device 10 and data obtained by the operation of the information processing device 10. For example, the storage unit 12 stores a trained model.

[0028] The input unit 13 includes at least one input interface. The input interface is, for example, a physical key, a capacitance key, a pointing device, or a touch screen integrated with a display. The input interface may also be, for example, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 13 accepts an operation to input data used for the operation of the information processing device 10. The input unit 13 may be connected to the information processing device 10 as an external input device instead of being provided in the information processing device 10. Any connection method may be used, for example, a Universal Serial Bus (USB), a High-Definition Multimedia Interface (HDMI) (registered trademark), or Bluetooth (registered trademark).

[0029] The output unit 14 includes at least one output interface. The output interface is, for example, a display that outputs information as a video, or a speaker that outputs information as a sound. The display is, for example, an LCD (liquid crystal display) or an organic EL (electro luminescence) display. The output unit 14 displays and outputs data obtained by the operation of the information processing device 10. The output unit 14 may be connected to the information processing device 10 as an external output device instead of being provided in the information processing device 10. Any connection method can be used, for example, USB, HDMI (registered trademark), or Bluetooth (registered trademark).

[0030] The communication unit 15 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface is, for example, a LAN (Local Area Network) interface or a USB (Universal Serial Bus). In the case of wireless communication, the communication interface is, for example, an interface compatible with mobile communication standards such as LTE (Long Term Evolution), 4G (4th generation), or 5G (5th generation), or an interface compatible with short-range wireless communication such as Bluetooth (registered trademark). The communication unit 15 receives data used in the operation of the information processing device 10 and transmits data obtained by the operation of the information processing device 10.

[0031] The functions of the information processing device 10 are realized by executing a program according to this embodiment on a processor corresponding to the information processing device 10. That is, the functions of the information processing device 10 are realized by software. The program causes a computer to execute the operations of the information processing device 10, thereby causing the computer to function as the information processing device 10. That is, the computer functions as the information processing device 10 by executing the operations of the information processing device 10 in accordance with the program.

[0032] In this embodiment, the program can be recorded on a computer-readable recording medium. The computer-readable recording medium includes non-transitory computer-readable media, such as a magnetic recording device, an optical disc, a magneto-optical recording medium, or a semiconductor memory. The program can be distributed, for example, by selling, transferring, or lending a portable recording medium, such as a DVD (digital versatile disc) or a CD-ROM (compact disc read only memory), on which the program is recorded. The program can also be distributed by storing the program in the storage of an external server and transmitting the program from the external server to another computer. The program can also be provided as a program product.

[0033] Some or all of the functions of the information processing device 10 may be implemented by a dedicated circuit equivalent to the control unit 11. In other words, some or all of the functions of the information processing device 10 may be implemented by hardware.

[0034] (Terminal Device Configuration) As shown in FIG. 3, the terminal device 20 includes a control unit 21, a storage unit 22, an input unit 23, an output unit 24, and a communication unit 25.

[0035] The control unit 21 includes at least one processor, at least one dedicated circuit, or a combination of these. The processor is a general-purpose processor such as a central processing unit (CPU) or a graphics processing unit (GPU), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). The control unit 21 executes processes related to the operation of the terminal device 20 while controlling each unit of the terminal device 20.

[0036] The storage unit 22 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory is, for example, a random access memory (RAM) or a read only memory (ROM). The RAM is, for example, a static random access memory (SRAM) or a dynamic random access memory (DRAM). The ROM is, for example, an electrically erasable programmable read only memory (EEPROM). The storage unit 22 functions as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores data used in the operation of the terminal device 20 and data obtained by the operation of the terminal device 20.

[0037] The input unit 23 includes at least one input interface. The input interface is, for example, a physical key, a capacitance key, a pointing device, or a touch screen integrated with a display. The input interface may also be, for example, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 23 accepts an operation to input data used for the operation of the terminal device 20. The input unit 23 may be connected to the terminal device 20 as an external input device instead of being provided in the terminal device 20. As a connection method, any method such as USB (Universal Serial Bus), HDMI (registered trademark) (High-Definition Multimedia Interface), or Bluetooth (registered trademark) can be used.

[0038] The output unit 24 includes at least one output interface. The output interface is, for example, a display that outputs information as a video, or a speaker that outputs information as a sound. The display is, for example, an LCD (liquid crystal display) or an organic EL (electro luminescence) display. The output unit 24 displays and outputs data obtained by the operation of the terminal device 20. The output unit 24 may be connected to the terminal device 20 as an external output device instead of being provided in the terminal device 20. Any connection method may be used, for example, USB, HDMI (registered trademark), or Bluetooth (registered trademark).

[0039] The communication unit 25 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface is, for example, a LAN (Local Area Network) interface or a USB (Universal Serial Bus). In the case of wireless communication, the communication interface is, for example, an interface compatible with mobile communication standards such as LTE (Long Term Evolution), 4G (4th generation), or 5G (5th generation), or an interface compatible with short-range wireless communication such as Bluetooth (registered trademark). The communication unit 25 receives data used in the operation of the terminal device 20 and transmits data obtained by the operation of the terminal device 20.

[0040] The functions of the terminal device 20 are realized by executing a program according to this embodiment on a processor corresponding to the terminal device 20. That is, the functions of the terminal device 20 are realized by software. The program causes a computer to execute the operations of the terminal device 20, thereby causing the computer to function as the terminal device 20. That is, the computer functions as the terminal device 20 by executing the operations of the terminal device 20 in accordance with the program.

[0041] Some or all of the functions of the terminal device 20 may be realized by a dedicated circuit equivalent to the control unit 21. In other words, some or all of the functions of the terminal device 20 may be realized by hardware.

[0042] (Operation of information processing device) The operation of the information processing device 10 according to this embodiment will be described with reference to FIG.

[0043] Step S1: The control unit 11 of the information processing device 10 accepts information related to the subject (subject information). The subject information includes basic information (attributes), information related to personality and lifestyle habits. The basic information may include, for example, the subject's attributes such as age and gender. The subject information may also include information (other information) other than the basic information, personality and lifestyle habits. Examples of other information include information related to environmental factors, information related to psychological characteristics, and information related to mental and physical conditions. The information related to environmental factors may include information related to social support, information related to the physical environment for exercise, and the like. The information related to psychological characteristics may include information related to cognitive functions, etc. The information related to mental and physical conditions may include information related to behavioral tendencies, health conditions, etc.

[0044] Any method can be used for the process of receiving subject information. For example, the control unit 11 may receive the subject information from the terminal device 20 via the communication unit 15. In this case, the subject information may be received based on an input operation by the user to the input unit 23 of the terminal device 20. For example, during specific health guidance, the user may interview the subject using the terminal device 20, and input operation may be performed based on the interview results.

[0045] For example, any user interface can be used for the input operation. FIG. 5 is a diagram illustrating an example of such a user interface 100. The user interface 100 includes objects 110, 120, and 130. The object 110 is an object for accepting an input operation of basic information (attributes). In the example of the user interface 100 in FIG. 5, an input operation related to age and gender is accepted as the basic information. The object 120 is an object for accepting an input operation of information related to personality. In the example of the user interface 100 in FIG. 5, an input operation related to each personality index is accepted as the personality information. The personality index includes an index of optimism or pessimism, a priority given to logic or emotion, etc. Furthermore, the personality index may be selected from factors of personality theory, such as the five trait factors of the Big Five theory. The input operation may involve inputting the magnitude of the index by specifying a specific level from multiple levels or a specific value between 0 and 100%, etc. In the object 120 of the user interface 100 shown in Fig. 5, opposite words (such as "optimistic" and "pessimistic") are displayed on the left and right, with a slider format between them, but this format may also be, for example, a pull-down format or a check box format. Also, in the slider format of the object 120 of the user interface 100 shown in Fig. 5, seven levels are displayed on the left and right, but these levels are also arbitrary and may be five levels or less, or eight levels or more. A format in which the number of levels is different for each question may also be used.

[0046] Object 130 is an object that accepts input operations of information related to daily life habits, and Fig. 5 shows an example of input operations of information related to exercise habits as one type of lifestyle habit. Information related to lifestyle habits may also be information related to favorite items or hobbies, and as will be described later, object 130 may also be responsible for input operations of information related to eating habits as one type of lifestyle habit.

[0047] The subject's basic information, personality, and lifestyle information may be input into the user interface 100 by the subject himself / herself, or a health counselor (user) may determine and input the subject information by interviewing the subject or by observing the subject.

[0048] Step S2: The control unit 11 selects the health information and reference information to be presented to the subject from the trained model that has undergone machine learning to estimate the health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information. In other words, the control unit 11 inputs the subject information into the trained model, thereby acquiring the health information and reference information to be presented to the subject from the trained model.

[0049] Health information is health-related information that should be presented to the subject from the perspective of health guidance. Reference information is any reference information that is useful in providing health guidance to the subject. In summary, the trained model predicts the subject's personality and their attitudes, preferences, and thoughts toward exercise and health behaviors, and outputs the prediction results as reference information.

[0050] The trained model may be a model generated based on a machine learning algorithm such as random forest, support vector machine (SVM), regression, convolutional neural network (CNN), recurrent neural network (RNN), or other deep learning. Alternatively, the trained model may be a machine learning model built based on a decision tree. Examples of machine learning models built based on a decision tree include, but are not limited to, Light GBM and XGBoost.

[0051] The trained model uses subject information as an explanatory variable and health information to be presented to the subject and reference information for the subject as objective variables. The trained model may be trained using previously provided support information (subject information and a set of health information and reference information). As will be described later, the trained model also estimates the priority of each piece of health information to be presented to the subject. The priority is determined based on the subject's acceptability. The control unit 11 selects the health information to be presented to the subject based on this priority.

[0052] Step S3: The control unit 11 outputs the selected health information and reference information, prioritizing them based on the subject's acceptability. That is, the control unit 11 outputs the selected health information and reference information in a manner that takes into account the subject's acceptability. A manner that takes into account the subject's acceptability includes, for example, outputting the selected health information in order of priority. That is, in this embodiment, health information predicted from the trained model is not simply output, but the health information to be provided is sorted and displayed, for example, based on priority, so that effective advice can be provided to the subject. Based on the output information, the health counselor provides personalized support to the subject. Personalized support is support for understanding the relationship between lifestyle habits and health checkup results, reviewing lifestyle habits, acquiring knowledge about lifestyle-related diseases, and explaining the need for lifestyle improvement.

[0053] Any method can be adopted for outputting information. For example, the control unit 11 may present information through a user interface via the output unit 24 of the terminal device 20. In this embodiment, an example in which information is visually presented through a user interface will be described. Such a user interface may be provided by the terminal device 20 accessing the information processing device 10 or a web server via browser software. Alternatively, an application related to the system 1 may be installed in the terminal device 20, and the terminal device 20 may communicate with the information processing device 10 or an application server via the application, thereby providing the user interface. In this case, user authentication processing, etc. may be performed between the terminal device 20 and the information processing device 10, or between the terminal device 20 and the web server, as appropriate.

[0054] For example, any user interface can be employed when outputting information. FIG. 6 is a diagram showing an example of such a user interface 200. User interface 200 includes the health information and reference information selected in step S2. Specifically, user interface 200 includes a data card display area 210 and a reference information display area 220. Data card display area 210 is an area where health information is displayed in the form of multiple cards. In other words, in this embodiment, health information is displayed in the form of multiple cards. Specifically, data card display area 210 displays an array of 10 cards, cards 211a to 211j, each corresponding to health information.

[0055] Here, the order of the cards is determined based on priority. Specifically, the order of the cards is determined based on the priority (priority) determined by the trained model. In other words, the control unit 11 determines and outputs the order of the cards based on the priority determined by the trained model. Here, cards 211a to 211j are arranged in descending order of priority. When a selection operation such as tapping or clicking is performed on each card, detailed health information is displayed. The priority of the cards may also be indicated by color-coding the cards. FIG. 7 is an example of detailed health information information. The detailed information in FIG. 7 is detailed information corresponding to a card of certain health information (the number of unhealthy indicators possessed by obese people). The detailed information includes, for example, the fact that "only 10% of obese people are not at risk of 'blood pressure,' 'blood sugar,' 'lipids,' and 'liver function,'" and data supporting this fact.

[0056] The sort function 212 of the data card display area 210 is an object that accepts a selection operation to change the order of cards in the data card display area 210. For example, when the "Risk / Disease" option is selected, only cards containing health information related to risk and disease are first displayed in order of priority determined by the trained model. Then, cards other than cards containing health information related to risk and disease are displayed in order of priority determined by the trained model. In this way, by allowing the order of cards to be changed based on user selection, user convenience can be improved (as mentioned above, the color coding of the cards may also be changed).

[0057] The reference information display area 220 is an area for displaying reference information. The reference information includes at least one of the subject's personality classification information, the subject's character profile information, and the subject's preference information. The subject's personality classification information may include, for example, the subject's psychological trait type. The subject's character profile information may include information on the individual's tendencies and appropriate advice for appropriate health guidance (intervention approach). The individual's tendencies may represent, for example, the degree of each indicator selected from the five-factor model of the Big Five theory. For example, openness in the five-factor model may be expressed as the degree of interest in new things. The subject's preference information includes information on either the subject's exercise preference or the subject's health activities.

[0058] For example, the reference information display area 220 displays information on advice suited to the subject's profile information as reference information. Specifically, the reference information display area 220 displays an object 221 relating to the suited advice and detailed information 222 on the suited advice. The object 221 illustrates whether the suited advice is negative or positive. In other words, the object 221 displays the suited advice in two polarized ways: a tendency to avoid negative things, or a tendency to accept positive things. This display can improve the convenience for the user during health guidance.

[0059] The detailed information 222 includes specific information about the appropriate advice. For example, the specific information may be "We will provide you with health methods that have been confirmed to be safe," "We will provide you with efficient exercise methods," etc.

[0060] As described above, in the health promotion support system 1 according to this embodiment, the information processing device 10 receives subject information. The information processing device 10 selects health information and reference information to be presented to the subject from the subject information and a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health promotion for the subject. The information processing device 10 then prioritizes the selected health information and reference information based on the subject's acceptability and outputs the information. This configuration provides a new health promotion support technology that can present health information and reference information to the subject in a format that is easily accepted by the subject.

[0061] Note that other reference information may be displayed instead of or in addition to the above in the reference information display area 220. The other reference information may be, for example, at least one of information related to classification information of the subject's personality, information related to a predicted personality profile, and information related to preferred exercise and health behaviors.

[0062] 8 is an example of information related to classification information of a subject's personality. As shown in FIG. 8, the subject's psychological trait types may be classified into clusters in the form of a radar chart, and the psychological trait type corresponding to each cluster (here, psychological trait type A) may be displayed. This allows the user to easily understand the subject's psychological traits, which can be used in health guidance.

[0063] FIG. 9 shows an example of information related to a predicted personality. The information related to the predicted personality may include, for example, information on autonomy, exercise orientation, and appropriate advice. As shown in FIG. 9, each piece of information may be displayed in two polarized forms. This allows the user to easily grasp the personality of the subject from multiple angles, which can be used for health guidance.

[0064] Figure 10 is an example of information related to favorite exercises and health behaviors. As shown in Figure 10, the information related to favorite exercises and health behaviors may include the probability that the subject likes each exercise or health behavior. This allows health counselors to easily understand the subject's favorite exercises and health behaviors, and can be used to recommend the subject's favorite exercises and health behaviors in health guidance.

[0065] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.

[0066] For example, in the above-described embodiment, the configuration and operation of the information processing device 10 may be distributed among multiple computers that can communicate with each other. Also, for example, an embodiment in which some or all of the components of the information processing device 10 are provided in the terminal device 20 may be possible. In this case, the health promotion support system 1 may be configured only by the terminal device 20, and the terminal device 20 may perform the above-described operations without communicating with the information processing device 10. In other words, the technology related to the health promotion support system 1 may be provided offline.

[0067] For example, the information processing device 10 may receive and display feedback information regarding health guidance provided to the subject. The information processing device 10 may also select health information or reference information to be presented to the subject, taking the feedback information into consideration. Furthermore, this feedback information may be used to update a prediction regarding the subject's acceptability. The feedback information is information regarding the subject's subjective impressions and whether or not there has been any behavioral change. The feedback information may include, for example, satisfaction with past health guidance efforts, the status of efforts in response to past health guidance, and reasons for failure, such as difficulty in efforts. In other words, feedback information is received for subjects who have previously received health guidance. Note that the feedback information is not limited to this and may include an evaluation of whether the health guidance was useful, a self-report on whether lifestyle habits have actually improved, etc.

[0068] Any method may be employed for receiving feedback information. For example, the feedback information may be input via a user interface. FIG. 11 illustrates an example of a user interface 300 through which a subject inputs self-reported feedback information. The user interface 300 accepts information on each item corresponding to the feedback information (e.g., satisfaction with past health guidance efforts, progress in response to past health guidance efforts, and reasons for failure, such as when the efforts were difficult) in a selectable format. In other words, the user interface 300 accepts the feedback information in the form of a questionnaire. Alternatively, a questionnaire may be administered during an interview between the subject and a health counselor to review the efforts made since the previous guidance session and identify obstacles to the efforts. (The above-mentioned "self-reporting" includes, for example, the subject verbally providing feedback information to the health counselor during an interview, and the health counselor then inputting the received feedback information via the user interface 300.) This allows for efficient collection of the subject's subjective evaluation and progress, which can be used to improve future health guidance content and provide continuous support to the subject.

[0069] The feedback information may be input using the terminal device 20 of the health promotion support system 1, or the subject may access an appropriate web page and input the feedback information using this web page.

[0070] Any method may be used to display the feedback information. For example, the feedback information may be output in a predetermined layout via a user interface. FIG. 12 illustrates an example of such a user interface 400. The user interface 400 displays answers to each item corresponding to the feedback information in a table layout. Note that the feedback information may include related information in addition to the answers to each item. The related information may include communication advice based on a questionnaire. For example, if the questionnaire indicates that a solid cooperation and support system is necessary as a basic policy, the advice may be, "Focus on surrounding support and cooperation when communicating." Furthermore, if the questionnaire indicates that comparing oneself to others is a factor in the failure of efforts, the advice may be, "Avoid comparing oneself to others when communicating." In this way, presenting communication advice based on the questionnaire as part of the feedback information enables more appropriate and effective communication to the feedback recipient, thereby increasing ease of reception and a sense of satisfaction. Furthermore, presenting guidelines on how to communicate feedback in addition to the content of the feedback allows health counselors to respond flexibly according to the situation and the recipient, thereby promoting smooth communication overall.

[0071] The above has described the health guidance system 1 of the present disclosure, which receives subject information related to a subject, selects health information to be presented to the subject from this subject information and a learning model that has undergone machine learning to estimate health information to be presented to the subject, prioritizes the selected health information based on how easily the subject will accept it, and, if necessary, reviews the priority taking into account the feedback information, determines the priority, and presents the health information to the subject.

[0072] A preferred embodiment of subject information is described below. Further study by the present inventors has revealed that, among the subject information, including information on lifestyle habits in addition to the exercise habits described above, including information on diet can provide health information and the like more appropriate for the subject. In this case, the reference information may include suggested information regarding eating habits. When the subject information includes information on eating habits, for example, in the user interface 100 shown in FIG. 5, the object 130 for lifestyle habits includes an object for accepting information on eating habits. In other words, information on eating habits is obtained by conducting a questionnaire regarding eating habits between the subject and a health counselor. Any method may be used to present suggested information regarding eating habits, such as inputting feedback information via a user interface. FIG. 13 illustrates an example of such a user interface 500. The user interface 500 provides suggested information regarding dietary and exercise approaches suitable for the subject, generated based on information on the subject's eating habits. For example, the ease of implementing dietary approaches such as "reducing the amount of food" and "changing the content" may be quantitatively indicated. The degree of ease of implementation for exercise, etc. may also be quantitatively indicated. This allows the subject to more easily understand reasonable options that fit their own characteristics and lifestyle habits, and to create a more feasible action plan for improving their diet and exercise. Furthermore, quantitative indication of the degree of ease of implementation makes it possible to compare and consider multiple options, which may contribute to improving self-efficacy and promoting continuous behavioral change. In this way, according to this embodiment, specific health guidance advice can be provided from both the perspectives of diet and exercise.

[0073] Furthermore, when the information processing device 10 receives information on the subject relating to the subject's eating habits in addition to the exercise habits as lifestyle habits, if the user selects "Activity Amount / Diet" in the sorting function 212 of the data card display area 210 in the user interface 200 shown in FIG. 6, it is possible to select a card for activity amount / diet that is more appropriate for the subject, as described above.

[0074] While an embodiment of the present disclosure has been described above in which a health counselor (user) provides appropriate health advice to a subject, the subject can also use the information processing device of the present disclosure to receive reference information and appropriate advice directly from the information processing device. Furthermore, according to an embodiment of the present disclosure, even an inexperienced health counselor (user) can provide reference information and appropriate advice according to the subject. [Explanation of symbols]

[0075] 1. Health guidance support system 10. Information processing equipment 11 Control section 12 Storage section 13 Input section 14 Output section 15 Communications Department 20 Terminal equipment 21 Control section 22 Memory section 23 Input section 24 Output section 25 Communications Department 30 Network 100 User Interface 110, 120, 130 objects 200 User Interface 210 Data card display area 211a~211j cards 212 Sorting function 220 Reference information display area 221 objects 222 More Information 300, 400, 500 User Interface

Claims

1. A health guidance support system using an information processing device for providing support and advice on health behavior to a subject of health guidance, The information processing device, Accepting subject information relating to the subject; selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; A health guidance support system that outputs the selected health information and reference information after determining a priority based on ease of acceptance by the subject.

2. 2. The health promotion support system according to claim 1, wherein the reference information includes at least one of classification information of the subject's personality, character information of the subject, and preference information of the subject.

3. The health guidance support system according to claim 2 , wherein the subject's preference information includes information relating to at least one of the subject's exercise preference and the subject's health activity.

4. 3. The health guidance support system according to claim 1, wherein the health information is displayed in the form of a plurality of cards, and the plurality of cards are displayed in order of priority determined by the acceptability of the subject.

5. The information processing device includes: The health promotion support system according to claim 1 , wherein feedback information on the health promotion provided to the subject is received and displayed.

6. The health promotion support system according to claim 1 , wherein the subject information includes information on eating habits, and the reference information includes suggested information on eating habits.

7. An information processing device including a control unit, The control unit Accept information on individuals who are eligible for health guidance, selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; An information processing device that prioritizes the selected health information and reference information based on ease of acceptance by the subject and outputs the information.

8. On the computer, Accepting information on individuals who are the targets of health guidance; selecting health information and reference information to be presented to the subject from a trained model that has undergone machine learning to estimate health information to be presented to the subject and reference information related to health guidance for the subject, and the subject information; outputting the selected health information and reference information after determining a priority based on acceptability by the subject; A program that executes the following.

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