Program, specific event related display device, specific event related display method, and recording medium
Patent Information
- Application Number
- JP2025532390
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Priority Date
- 2024-05-07
- Filing Date
- 2024-05-07
- Publication Date
- 2026-02-19
AI Technical Summary
Existing prediction models primarily focus on prognosis based on feature amounts, lacking an effective means to enhance individual awareness and active management of health conditions.
A program, specific event-related display device, and recording medium that acquire and display future prediction information, including mental and physical state predictions, risk information, and living condition simulations for specific events, such as disease onset, to motivate health management by comparing event occurrence and non-occurrence scenarios.
Improves individual awareness of health management by presenting comparative information on the disadvantages of disease onset versus disease-free living conditions, encouraging proactive health management and lifestyle choices.
Abstract
Description
Program, specific event-related display device, specific event-related display method, and recording medium
[0001] The present invention relates to a program, a specific event-related display device, a specific event-related display method, and a recording medium.
[0002] Therefore, a myocardial infarction prediction model has been published as a tool for understanding future health conditions (Patent Document 1).
[0003] Patent No. 2022-184475
[0004] Existing prediction models such as that described in Patent Literature 1 predict prognosis based on feature quantities. However, there is a need to further raise awareness among individuals to proactively manage their health.
[0005] Therefore, an object of the present disclosure is to provide a program, a specific event-related display device, a specific event-related display method, and a recording medium that enable a display that can improve an individual's awareness of health management.
[0006] In order to achieve the above-mentioned object, the program of the present disclosure includes an information acquisition procedure, a display screen information generation procedure, and an information output procedure, wherein the information acquisition procedure acquires future prediction information for the subject, wherein the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition, wherein the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living condition includes, in the prediction information for the physical and mental state, prediction information for an event occurrence living condition if the specific event occurs and prediction information for a non-event occurrence living condition if the specific event does not occur, wherein the display screen information generation procedure generates a display screen including risk information for the specific event occurring, the event occurrence living condition prediction information, and the non-event occurrence living condition prediction information for the subject, and wherein the information output procedure outputs the display screen to a display device, and the program causes a computer to execute each of the above steps.
[0007] The specific event-related display device according to the present disclosure includes an information acquisition unit, a display screen information generation unit, and an information output unit, wherein the information acquisition unit acquires future prediction information for the subject, wherein the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition, wherein the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living condition includes, in the prediction information for the physical and mental state, prediction information for an event occurrence living condition if the specific event occurs and prediction information for a non-event occurrence living condition if the specific event does not occur, wherein the display screen information generation unit generates a display screen including risk information for the specific event occurring, the event occurrence living condition prediction information, and the non-event occurrence living condition prediction information for the subject, and wherein the information output unit outputs the display screen to a display device.
[0008] The specific event-related display method according to the present disclosure includes an information acquisition step, a display screen information generation step, and an information output step, wherein the information acquisition step acquires future prediction information for the subject, wherein the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition, wherein the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living condition includes, in the prediction information for the physical and mental state, prediction information for an event occurrence living condition if the specific event occurs and prediction information for a non-event occurrence living condition if the specific event does not occur, wherein the display screen information generation step generates a display screen including risk information for the specific event occurrence, the event occurrence living condition prediction information, and the non-event occurrence living condition prediction information for the subject, and wherein the information output step outputs the display screen to a display device, and wherein each of the steps is executed by a computer.
[0009] The recording medium according to the present disclosure includes an information acquisition procedure, a display screen information generation procedure, and an information output procedure, wherein the information acquisition procedure acquires future prediction information for a subject, wherein the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition, wherein the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living condition includes, in the physical and mental state prediction information, prediction information for an event occurrence living condition if the specific event occurs and prediction information for a non-event occurrence living condition if the specific event does not occur, and the display screen information generation procedure generates a display screen including risk information for the specific event occurrence, the event occurrence living condition prediction information, and the non-event occurrence living condition prediction information for the subject, and is a computer-readable recording medium having recorded thereon a program for causing a computer to execute each of the above procedures.
[0010] According to the present disclosure, the displayed screen can improve an individual's awareness of health management.
[0011] FIG. 1 is a flowchart showing an example of the procedure of a program according to the present disclosure. FIG. 2 is a block diagram showing an example of the configuration of a specific event-related display device according to the present disclosure. FIG. 3 is a block diagram showing an example of the hardware configuration of a specific event-related display device according to the present disclosure. FIG. 4 is a reference diagram showing an example of a display screen in a program according to the present disclosure. FIG. 5 is a reference diagram explaining an example of the display of related information on a display screen in a program according to the present disclosure. FIG. 6 is a reference diagram explaining an example of the display of other related information on a display screen in a program according to the present disclosure. FIG. 7 is a reference diagram explaining an example of the display of future predicted values related to test results in a program according to the present disclosure.
[0012] An embodiment of the present disclosure will be described. Note that the present disclosure is not limited to the following embodiment. Note that in the following drawings, the same parts are assigned the same reference numerals. Furthermore, the descriptions of the embodiments can be used interchangeably unless otherwise specified. Furthermore, the configurations of the embodiments can be combined unless otherwise specified. Furthermore, in each procedure described below in the program of the present disclosure, for example, "procedure" can be read as "processing."
[0013] [Embodiment 1] A program, a specific event-related display device, and a specific event-related display method according to the present disclosure will be described. Note that the program according to the present disclosure is a program that causes a computer to execute each of the procedures described below, but may be used as, for example, an application on a user terminal or a server-side program.
[0014] First, an example of the program of this embodiment will be described with reference to the flowchart of FIG.
[0015] The information acquisition step acquires future prediction information for the subject (S1). The future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition.
[0016] The prediction information for the subject's future mental and physical state includes risk information for the occurrence of a specific event in the future. The specific event may be, for example, the onset of a disease. The disease may include, for example, a mental illness. Furthermore, the specific event may be, for example, improved physical strength, improved sleep, a sense of well-being, etc., and is not limited to those recognized as diseases, but broadly includes mental and physical conditions. Furthermore, the risk information is not limited to the possibility of deterioration regarding the specific event in question, but also includes, for example, the possibility of improvement, the possibility of maintaining the status quo, etc.
[0017] The subject's future living condition prediction information includes event-occurrence living condition prediction information and non-event-occurrence living condition prediction information. The event-occurrence living condition prediction information is information relating to a prediction of the living condition in the case where the specific event occurs in the mental and physical condition prediction information. The non-event-occurrence living condition prediction information is information relating to a prediction of the living condition in the case where the specific event does not occur in the mental and physical condition prediction information. The living condition may be, for example, financial burden, restrictions on behavior, the need for hospitalization, etc. The living condition is not limited to these, and may also include, for example, changes in physical condition, such as difficulty reading letters or hearing voices, and impacts on life.
[0018] Specifically, the event-occurrence life state prediction information is a simulation of a life state assuming the occurrence of the specific event, such as, for example, how much hospitalization costs will be required if a disease develops, how long it will take to recover from the disease, and what changes in physical condition will occur, such as blurred vision. The content of the event-occurrence life state prediction information is not limited to the examples described above. The non-event-occurrence life state prediction information is, for example, information that can be compared with the event-occurrence life state prediction information, and is information about a life state that would be possible if the disease did not develop. The non-event-occurrence life state prediction information is a simulation of a life state assuming the occurrence of the specific event, such as, for example, how many times a high-end seafood hotpot can be ordered, how many times a kabuki performance can be seen in a special seat, or how many World Heritage sites can be visited in Japan, given the money and time required for disease treatment. The content of the non-event-occurrence life state prediction information is not limited to the examples described above, as with the event-occurrence life state prediction information. In this way, the subject's future living condition prediction information is, for example, information that compares the disadvantages of developing a disease with what would specifically be possible if the disadvantages did not occur. Therefore, presenting the comparison information motivates the subject to proactively engage in health management. While the above example focuses on a deterioration in health status, the specific event is not limited to this. The specific event may, for example, be directed to an improvement in health status. In this case, for example, the comparison information is information that compares the disadvantages of not continuing the current lifestyle with what would specifically be possible if the disadvantages did not occur. By presenting the comparison information, for example, the subject is encouraged to continue their current lifestyle and is motivated to proactively engage in health management.
[0019] The information acquisition method of the information acquisition procedure may be, for example, acquisition from an external device, such as information stored in an external database or information generated by an external device. Furthermore, the generation of the acquired information may be integrated with the program of the present disclosure. For example, the information acquired by the information acquisition procedure is linked to the subject's identification information and stored in an external database. In this case, the information acquisition procedure may, for example, acquire the subject's identification information and extract future prediction information for the subject that matches the subject's identification information from the external database. Furthermore, the information acquisition procedure may, for example, when generating prediction information for the subject's future physical and mental state in an external device, acquire information necessary for information generation, such as test values, transmit the information to the external device, and receive the information from the external device. Furthermore, when generating prediction information for the subject's future physical and mental state in the program, the information acquisition procedure may, for example, acquire information necessary for information generation, such as test values.
[0020] The display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence lifestyle state prediction information, and the non-event occurrence lifestyle state prediction information for the subject (S2). By displaying each piece of information in association with each other, the pieces of information can be compared and checked, thereby improving personal health management awareness.
[0021] The information output procedure outputs the display screen to a display device (S3). The display device displays the display screen on, for example, a dedicated monitor in a hospital or a personal computer used by a testing institution. Note that the information output procedure is not limited to this, and for example, the display screen may be printed and output, output to an external database, or transmitted to a mobile terminal of the subject via a telecommunications line and displayed on the mobile terminal. In this way, the output method in the information output procedure can be any appropriate method.
[0022] Next, a specific event-related display device 10 (hereinafter also referred to as "the device") of this embodiment will be described with reference to FIG. 2. FIG. 2 is a block diagram showing an example of the configuration of a specific event-related display device according to the present disclosure. As shown in FIG. 2, the device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13. Although not shown, the device may also include, for example, an input unit, an output unit, a display unit, and / or a storage unit.
[0023] The present device may be, for example, a single device including each of the above-mentioned units, or a device in which each of the above-mentioned units can be connected via a communication network. Furthermore, the present device can be connected to an external device (described later) via the communication network. The communication network is not particularly limited, and any known network can be used, and may be wired or wireless. Examples of the communication network include the Internet, the World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area Network (LPWA), and a Local 5G (L5G). Examples of wireless communication networks include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, and a LPWA. The wireless communication may be a form in which each device communicates directly (ad hoc communication), infrastructure communication, indirect communication via an access point, or the like. The device may be incorporated into a server as a system, for example. The device may also be a personal computer (PC, for example, a desktop or laptop computer), a smartphone, a tablet terminal, or the like, on which the program of the present disclosure is installed. The device may also be in the form of cloud computing or edge computing, for example, in which at least one of the units is located on a server and the other units are located on a terminal.
[0024] 3 is a block diagram showing an example of the hardware configuration of the device. The device includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, and a communication device 107. Each unit of the device is connected to each other via the bus 103 and each interface (I / F).
[0025] The central processing unit 101 cooperates with other components via a controller (such as a system controller or an I / O controller) and controls the entire device. In the device, the central processing unit 101 executes, for example, the program disclosed herein and other programs, and also reads and writes various types of information. Specifically, the central processing unit 101 functions as an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13. The central processing unit 101 may include, as a computing device, a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.
[0026] The bus 103 can also be connected to, for example, external devices. Examples of the external devices include external storage devices such as external databases, printers, external input devices, external display devices, and external imaging devices. This device can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.
[0027] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). Alternatively, the memory 102 may be, for example, a ROM (read only memory).
[0028] The storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from and to the recording medium. The recording medium is not particularly limited and may be, for example, an internal or external type, such as a hard disk drive (HDD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or a solid state drive (SSD) in which the recording medium and drive are integrated.
[0029] In this device, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by this device, and information used when this device executes processing. In this case, the memory 102 and the storage device 104 may store, for example, information, etc. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology or the like.
[0030] The present apparatus further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and the like. In the first embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.
[0031] Next, the information processing method of this embodiment will be described.
[0032] The specific event-related display method of this embodiment can be implemented by incorporating the description of the program of this embodiment. The specific event-related display method of this embodiment is implemented by replacing the "procedures" in the program of this embodiment with "steps." Specifically, the specific event-related display method of this embodiment includes an information acquisition step, a display screen information generation step, and an information output step. The specific event-related display method of this embodiment can be implemented, for example, using the device of FIG. 2 or FIG. 3. Note that the specific event-related display method of this embodiment is not limited to use of the device of FIG. 2 or FIG. 3.
[0033] [Embodiment 2] Another embodiment of the program, specific event-related display device, and specific event-related display method of the present disclosure will be described. Note that in this embodiment, the specific event includes the onset of a specific disease, but the procedure in the program, the configuration of the specific event-related display device, and the steps in the specific event-related display method are the same as those in embodiment 1, and therefore the descriptions thereof can be used.
[0034] First, an example of a program according to this embodiment will be described. As described above, the information acquisition procedure (S1), display screen information generation procedure (S2), and information output procedure (S3) in the program according to this embodiment are the same as those in the first embodiment.
[0035] As described above, the prediction information for the subject's future physical and mental state acquired in the information acquisition procedure includes risk information for the occurrence of a specific event in the future. The specific event includes the onset of a specific disease. Note that the specific disease is, for example, diabetes, alcoholic liver disease, hepatic fibrosis, cirrhosis, hypertension, kidney disease, etc., but is not limited to such physical diseases. The disease may also include, for example, mental illness. Furthermore, the risk information is not limited to the risk of onset of a specific disease, but may also include, for example, the possibility of improvement of a specific disease, the possibility of maintaining the current state, etc.
[0036] The subject's future living condition prediction information may include event occurrence living condition prediction information and non-event occurrence living condition prediction information. The event occurrence living condition prediction information may include the specific disease occurrence living condition prediction information. The occurrence living condition prediction information is information regarding a prediction of the living condition if the specific disease develops. The non-event occurrence living condition prediction information may include the specific disease non-occurrence living condition prediction information. The non-onset living condition prediction information is information regarding a prediction of the living condition if the specific disease does not develop.
[0037] The onset life expectancy prediction information may include cost information, duration information, and symptom information. The cost information is cost information for dealing with the onset of the specific disease, such as information on the amount of hospitalization costs that will be required if the specific disease develops. The cost information is not limited to this and may include, for example, costs related to the specific disease, such as hospital visits, medication costs, transportation costs, and equipment costs. The duration information is time information for dealing with the onset of the specific disease, such as information on the amount of hospitalization costs that will be required if the specific disease develops. The duration information is not limited to this and may broadly include, for example, the period until complete recovery, the period required for hospital visits, the frequency of hospital visits, the period spent on treating the specific disease, the degree of constraints, etc. The symptom information is information on physical and mental symptoms that will be experienced if the specific disease develops, such as information on physical changes such as blurred vision. The symptom information is not limited to this and may broadly include, for example, information on symptoms such as blurred vision and numbness in the hands and feet. Therefore, the specific disease occurrence life prediction information is a simulation of a living state assuming the onset of the specific disease, including, for example, cost information, duration information, and symptom information. On the other hand, the non-onset life prediction information includes remuneration information. The remuneration information is information that will be the subject's remuneration if the specific disease does not occur. The remuneration information includes, for example, information on what would be possible if the expenses associated with the specific disease were allocated to other expenses. Therefore, the non-onset life prediction information specifically includes, for example, how many times a high-end seafood hotpot can be ordered, how many times a kabuki performance can be seen in a special seat, and how many World Heritage sites can be visited in Japan. In other words, the non-onset life prediction information is a simulation of a living state assuming the specific disease does not occur. Note that the onset life prediction information and the non-onset life prediction information are not limited to the examples given above.
[0038] In this way, the subject's future living condition prediction information is, for example, information that compares the disadvantages of developing a disease with what would specifically be possible if the disadvantages did not occur. Therefore, presenting the comparison information motivates the subject to proactively engage in health management. While the above example focuses on a deterioration in health status, the specific event is not limited to this. The specific event may, for example, be directed toward recovery of health status. In this case, for example, if the displayed information indicates that the current lifestyle is effective, the comparison information is information that compares the disadvantages of not continuing the current lifestyle with what would specifically be possible if the disadvantages did not occur. By presenting the comparison information, for example, the subject is encouraged to continue their current lifestyle and is motivated to proactively engage in health management.
[0039] The information acquisition method of the information acquisition procedure is the same as in the first embodiment. The subject's future prediction information is generated, for example, by an external device, as described above. In this case, the subject's future physical and mental condition prediction information, which is part of the subject's future prediction information, is generated based on a disease risk predicted based on disease-related information such as medical record information, health check information, and subject attribute information (gender, age, etc.). The disease risk may be predicted using, for example, a machine learning prediction model. The disease risk may also be predicted using a rule-based prediction device. Future laboratory values, which are information for the prediction, may also be predicted. The predicted laboratory values may also be used to predict the disease risk. Thus, the subject's future physical and mental condition prediction information may be predicted using, for example, AI or a rule-based prediction device. The subject's future living condition prediction information is stored in an external database, for example, linked to the details of the disease. Alternatively, the subject's future living condition prediction information may be generated using, for example, a generation device that generates the information based on the details of the laboratory values, disease risk, etc.
[0040] The display screen information generation procedure generates a display screen as described in S2 above. FIG. 4 shows an example of the display screen in the program of the present disclosure. Note that FIG. 4 is merely an example, and the items, configuration, and layout of the display screen are not limited thereto. In FIG. 4 , a selected disease name 201 and disease development risk 202 are displayed at the top of the display screen 200, and a future lifestyle simulation 203 is arranged below the disease development risk 202. Furthermore, summary information 204 of all diseases is displayed below the simulation. First, the summary information 204 displays the disease name and disease development risk of each disease. When a desired disease name is selected from the summary information 204, the disease name 201 and disease development risk 202 for the selected disease are displayed at the top. The simulation 203 located in the center is switched to one corresponding to the selected disease. The simulation 203 displays a simulation of the disease occurring (event-occurrence lifestyle state prediction information) on the left side and a simulation of the disease not occurring (non-event-occurrence lifestyle state prediction information) on the right side. The display allows the subject to check at a glance the diseases that the subject may develop, the risk of developing the disease, and the difference in living conditions between when the disease develops and when it does not. Furthermore, by switching the selected disease using the summary information 204, the subject can check the difference in living conditions between when the disease develops and when it does not develop, while comparing it with the risk of development. The display screen information generation step generates, for example, a display screen such as that described above, based on the future prediction information for the subject acquired by the information acquisition step.
[0041] The configuration of the specific event-related display device in this embodiment is the same as that in embodiment 1. Specifically, the specific event-related display device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13. The steps of the specific event-related display method in this embodiment are the same as those in embodiment 1. Specifically, the specific event-related display method includes an information acquisition step, a display screen information generation step, and an information output step.
[0042] [Embodiment 3] A description will be given of yet another embodiment of the program, specific event-related display device, and specific event-related display method of the present disclosure. Note that this embodiment differs only in the information acquired and the information output, and the program procedure, the configuration of the specific event-related display device, and the steps in the specific event-related display method are the same as those of embodiment 1, and therefore the descriptions thereof can be used.
[0043] First, an example of a program according to this embodiment will be described. As described above, the information acquisition procedure (S1), display screen information generation procedure (S2), and information output procedure (S3) in the program according to this embodiment are the same as those in the first embodiment. However, in the information acquisition procedure (S1), event-related information is acquired, and in the display screen information generation procedure (S2), the display screen including the event-related information is generated.
[0044] The event-related information is information related to a specific event, such as information about a recommended test. However, the event-related information is not limited to this and may also include accompanying information to be displayed, such as lifestyle habits for improving health, trivia, etc. The method of acquiring information is the same as that of acquiring future prediction information for the subject in other embodiments. The event-related information may be acquired from an external database, information generated by an external device, or may be configured to be generated by the program. For example, if the event-related information is a recommended test, it may be generated in conjunction with a prediction of the subject's risk of developing a specific disease. In this way, the information acquisition procedure may acquire the event-related information related to the specific event.
[0045] The subject's future prediction information acquired in the information acquisition procedure may include one or more prediction information of the subject's future physical and mental test results. The event-related information may include, for example, the subject's actual test values, or may acquire predicted test values based on the actual test values. Therefore, the physical and mental test result prediction information is, for example, future test values predicted based on test values obtained during a health checkup or the like. The physical and mental test result prediction information may be, for example, weight, blood pressure, cholesterol level, etc., but is not limited thereto. It may also be, for example, mental test values, and its content is not limited thereto. Furthermore, the physical and mental test result prediction information may be prediction information of the physical and mental test result if the subject continues their lifestyle for a certain period of time. The physical and mental test result prediction information is not limited, but may be, for example, a prediction assuming the subject continues their current lifestyle for three years. The duration is not limited to three years and may be set separately, and prediction conditions may be set separately.
[0046] The display screen information generation step (S2) generates the display screen including the event-related information. FIGS. 5 and 6 are reference diagrams showing examples of displays related to the event-related information. The "Related Optional Tests" in FIG. 5 are information about tests corresponding to disease risk. This display allows users to understand what tests are necessary and can be used for health management. The presence or absence, items, display method, and layout of recommended tests may be set arbitrarily depending on the actual situation. FIG. 6 shows a display of a lifestyle history. By checking the history, users can understand the relationship between specific diseases and lifestyle habits. The display of lifestyle habits may also be set arbitrarily depending on the actual situation. The event-related information is not limited to the above-mentioned examples, nor is it limited to information related to specific diseases, and may be set arbitrarily depending on the actual situation. FIG. 7 shows an example of a display of predicted mental and physical examination results. While FIG. 7 uses a line graph for display, the display method is not limited to this and any method may be used.
[0047] Next, the configuration of the specific event-related display device in this embodiment is the same as that in embodiment 1. Specifically, the specific event-related display device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13. Furthermore, the steps of the specific event-related display method in this embodiment are the same as those in embodiment 1. Specifically, the specific event-related display method includes an information acquisition step, a display screen information generation step, and an information output step.
[0048] [Embodiment 4] The program of the present disclosure may be recorded on, for example, a computer-readable recording medium. The recording medium may be, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (e.g., USB flash memory, SD / SDHC card, etc.), optical disk (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy disk (FD), etc. Furthermore, the program of this embodiment (also referred to as a programming product or program product, for example) may be distributed from an external computer. The "distribution" may be, for example, distribution via a communication network or via a device connected via a wire. The program of this embodiment may be installed and executed on the device to which it is distributed, or may be executed without being installed.
[0049] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.
[0050] This application claims priority based on Japanese Patent Application No. 2023-115108, filed on July 13, 2023, the disclosure of which is incorporated herein in its entirety.
[0051] <Supplementary Notes> Some or all of the above embodiments may be described as in the following supplementary notes, but are not limited to the following: (Supplementary Note 1) A program for causing a computer to execute each of the above steps, including an information acquisition step, a display screen information generation step, and an information output step, wherein the information acquisition step acquires future prediction information for a subject, wherein the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living condition, wherein the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living condition includes, in the prediction information for the physical and mental state, prediction information for an event occurrence living condition if the specific event occurs and prediction information for a non-event occurrence living condition if the specific event does not occur, wherein the display screen information generation step generates a display screen including risk information for the specific event occurrence, the event occurrence living condition prediction information, and the non-event occurrence living condition prediction information for the subject, and wherein the information output step outputs the display screen to a display device. (Supplementary Note 2) The program according to Supplementary Note 1, wherein the specific event includes the onset of a specific disease, the event-occurrence life state prediction information includes onset life state prediction information of the specific disease, and the non-event-occurrence life state prediction information includes non-onset life state prediction information of the specific disease. (Supplementary Note 3) The program according to Supplementary Note 2, wherein the specific disease onset life state prediction information includes cost information, period information, and symptom information, the cost information is cost information for responding to the onset of the specific disease, the period information is period information for responding to the onset of the specific disease, the symptom information is information on physical and mental symptoms in the event of the onset of the specific disease, and the non-onset life state prediction information of the specific disease includes remuneration information, which is information that will be a remuneration for the subject if the specific disease does not occur. (Supplementary Note 4) The program according to Supplementary Note 1, wherein the information acquisition step acquires event-related information related to the specific event, and the display screen information generation step generates the display screen including the event-related information.(Supplementary Note 5) The program according to Supplementary Note 1, wherein the future prediction information of the subject includes one or more pieces of predicted psychosomatic test result information of the subject in the future, and the display screen information generating step generates the display screen including the psychosomatic test result prediction information. (Supplementary Note 6) The program according to Supplementary Note 5, wherein the psychosomatic test result prediction information is psychosomatic test result prediction information expected if the subject continues living the same way for a certain period of time. (Supplementary Note 7) A specific event-related display device comprising an information acquisition unit, a display screen information generation unit, and an information output unit, wherein the information acquisition unit acquires future prediction information for the subject, the future prediction information for the subject comprises prediction information for the subject's future physical and mental state and prediction information for the subject's future living state, the prediction information for the subject's future physical and mental state comprises risk information for a specific event occurring in the future, the prediction information for the subject's future living state comprises, in the physical and mental state prediction information, prediction information for an event occurrence living state if the specific event occurs and prediction information for a non-event occurrence living state if the specific event does not occur, the display screen information generation unit generates a display screen including the risk information for the specific event occurrence, the event occurrence living state prediction information, and the non-event occurrence living state prediction information for the subject, and the information output unit outputs the display screen to a display device. (Supplementary Note 8) The specific event-related display device according to Supplementary Note 7, wherein the specific event includes the onset of a specific disease, the event-occurrence life state prediction information includes onset life state prediction information of the specific disease, and the non-event-occurrence life state prediction information includes non-onset life state prediction information of the specific disease. (Supplementary Note 9) The specific disease-occurrence life state prediction information includes cost information, period information, and symptom information, the cost information is cost information for dealing with the onset of the specific disease, the period information is period information for dealing with the onset of the specific disease, the symptom information is information on physical and mental symptoms in the event of the onset of the specific disease, and the non-onset life state prediction information of the specific disease includes remuneration information, and the remuneration information is information that will be a remuneration for the subject if the specific disease does not occur.(Supplementary Note 10) The specific event-related display device according to Supplementary Note 7, wherein the information acquisition unit acquires event-related information related to the specific event, and the display screen information generation unit generates the display screen including the event-related information. (Supplementary Note 11) The specific event-related display device according to Supplementary Note 7, wherein the subject's future prediction information includes one or more pieces of predicted psychosomatic test result information for the subject, and the display screen information generation unit generates the display screen including the psychosomatic test result prediction information. (Supplementary Note 12) The specific event-related display device according to Supplementary Note 11, wherein the psychosomatic test result prediction information is psychosomatic test result prediction information expected if the subject continues living the life of the subject for a certain period of time. (Supplementary Note 13) A specific event-related display method, comprising: an information acquisition step, a display screen information generation step, and an information output step, wherein the information acquisition step acquires future prediction information for the subject, the future prediction information for the subject includes prediction information for the subject's future physical and mental state and prediction information for the subject's future living state, the prediction information for the subject's future physical and mental state includes risk information for a specific event occurring in the future, and the prediction information for the subject's future living state includes, in the physical and mental state prediction information, event occurrence living state prediction information if the specific event occurs and non-event occurrence living state prediction information if the specific event does not occur, the display screen information generation step generates a display screen including risk information for the specific event occurrence, the event occurrence living state prediction information, and the non-event occurrence living state prediction information for the subject, and the information output step outputs the display screen to a display device, and each of the steps is executed by a computer. (Appendix 14) A specific event related display method as described in Appendix 13, wherein the specific event includes the onset of a specific disease, the event occurrence life state prediction information includes onset life state prediction information of the specific disease, and the non-event occurrence life state prediction information includes non-onset life state prediction information of the specific disease.(Supplementary Note 15) The specific event-related display method according to Supplementary Note 14, wherein the specific disease onset life prediction information includes cost information, period information, and symptom information, the cost information is cost information for responding to the onset of the specific disease, the period information is period information for responding to the onset of the specific disease, the symptom information is information on physical and mental symptoms in the event of the onset of the specific disease, and the specific disease-free life prediction information includes remuneration information, and the remuneration information is information that will be a remuneration for the subject in the event that the specific disease does not occur. (Supplementary Note 16) The specific event-related display method according to Supplementary Note 13, wherein the information acquisition step acquires event-related information related to the specific event, and the display screen information generation step generates the display screen including the event-related information. (Supplementary Note 17) The specific event-related display method according to Supplementary Note 13, wherein the subject's future prediction information includes prediction information of one or more future physical and mental test results for the subject, and the display screen information generation step generates the display screen including the physical and mental test result prediction information. (Supplementary Note 18) The specific event-related display method according to Supplementary Note 17, wherein the psychosomatic test result prediction information is psychosomatic test result prediction information that is expected if the subject's life is continued for a certain period of time. (Supplementary Note 19) A specific event-related display method according to Supplementary Note 17, comprising: an information acquisition step, a display screen information generation step, and an information output step, wherein the information acquisition step acquires future prediction information for the subject, wherein the subject's future prediction information includes prediction information for the subject's future mental and physical state and prediction information for the subject's future living state, wherein the prediction information for the subject's future mental and physical state includes risk information for a specific event occurring in the future, wherein the prediction information for the subject's future living state includes, in the mental and physical state prediction information, prediction information for an event-occurrence living state if the specific event occurs and prediction information for a non-event-occurrence living state if the specific event does not occur, and the display screen information generation step generates a display screen including risk information for the specific event occurrence, the event-occurrence living state prediction information, and the non-event-occurrence living state prediction information for the subject, and a computer-readable recording medium having recorded thereon a program for causing a computer to execute each of the steps.(Supplementary Note 20) The recording medium of Supplementary Note 19, wherein the specific event includes the onset of a specific disease, the event-occurrence life state prediction information includes onset life state prediction information of the specific disease, and the non-event-occurrence life state prediction information includes non-onset life state prediction information of the specific disease. (Supplementary Note 21) The specific disease onset life state prediction information includes cost information, period information, and symptom information, the cost information is cost information for dealing with the onset of the specific disease, the period information is period information for dealing with the onset of the specific disease, the symptom information is information on physical and mental symptoms in the event of the onset of the specific disease, and the specific disease-non-onset life state prediction information includes remuneration information, which is information that will be a remuneration for the subject if the specific disease does not occur. (Supplementary Note 22) The recording medium of Supplementary Note 19, wherein the information acquisition step acquires event-related information related to the specific event, and the display screen information generation step generates the display screen including the event-related information. (Supplementary Note 23) The recording medium according to Supplementary Note 19, wherein the future prediction information of the subject includes one or more pieces of predicted psychosomatic test result information of the subject in the future, and the display screen information generating step generates the display screen including the psychosomatic test result prediction information. (Supplementary Note 24) The recording medium according to Supplementary Note 23, wherein the psychosomatic test result prediction information is psychosomatic test result prediction information that is expected if the subject continues living the same way for a certain period of time.
[0052] According to the present invention, for example, disease prediction information for each of multiple body parts of a subject for disease prediction, recommended test information, and information on statistical analysis results can be obtained from disease-related information obtained through health checkups, etc. This allows the subject for disease prediction to comprehensively understand their health condition, and the present invention is useful for appropriate health management of the subject for disease prediction.
[0053] REFERENCE SIGNS LIST 10 Specific event-related display device 11 Information acquisition unit 12 Display screen information generation unit 13 Information output unit 101 Central processing unit 102 Memory 103 Bus 104 Storage device 105 Input device 106 Output device 107 Communication device
Claims
1. The method includes an information acquisition procedure, a display screen information generation procedure, and an information output procedure, The information acquisition step acquires future prediction information for the subject, The subject's future prediction information includes the subject's future physical and mental state prediction information and the subject's future living condition prediction information, The prediction information of the subject's future physical and mental state includes risk information of a specific event occurring in the future, The future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur, the display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject; the information output step outputs the display screen to a display device; A program for causing a computer to execute each of the above procedures.
2. the specific event includes the onset of a specific disease; the event occurrence life state prediction information includes the specific disease onset life state prediction information, The non-event occurrence life state prediction information includes non-onset life state prediction information of the specific disease. The program according to claim 1.
3. The life expectancy prediction information for the onset of a specific disease includes cost information, period information, and symptom information, the cost information is cost information for dealing with the onset of the specific disease, the period information is period information for responding to the onset of the specific disease, The symptom information is information on physical and mental symptoms when the specific disease develops, The specific disease-free life prediction information includes remuneration information, The remuneration information is information that will be a remuneration for the subject if the specific disease does not occur. The program according to claim 2.
4. the information acquisition step acquires event-related information related to the specific event; the display screen information generating step generates the display screen including the event-related information. The program according to claim 1.
5. The subject's future prediction information includes prediction information of one or more future psychosomatic test results of the subject; the display screen information generating step generates the display screen including the mental and physical examination result prediction information. The program according to claim 1.
6. The predicted information on the psychosomatic examination result is predicted information on the psychosomatic examination result if the subject continues living in the same state for a certain period of time. The program according to claim 5.
7. An information acquisition unit, a display screen information generation unit, and an information output unit, The information acquisition unit acquires future prediction information for the subject, The subject's future prediction information includes the subject's future physical and mental state prediction information and the subject's future living condition prediction information, The prediction information of the subject's future physical and mental state includes risk information of a specific event occurring in the future, The future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur, the display screen information generation unit generates a display screen including the occurrence risk information of the specific event, the event occurrence living state prediction information, and the non-event occurrence living state prediction information for the subject; the information output unit outputs the display screen to a display device. Specific event-related display devices.
8. the specific event includes the onset of a specific disease; the event occurrence life state prediction information includes the specific disease onset life state prediction information, The non-event occurrence life state prediction information includes non-onset life state prediction information of the specific disease. The specific event-related display device according to claim 7.
9. The method includes an information acquisition step, a display screen information generation step, and an information output step, The information acquisition step acquires future prediction information for the subject, The subject's future prediction information includes the subject's future physical and mental state prediction information and the subject's future living condition prediction information, The prediction information of the subject's future physical and mental state includes risk information of a specific event occurring in the future, The future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur, the display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject; the information output step outputs the display screen to a display device; Each of the steps is executed by a computer. Specific event-related display method.
10. The method includes an information acquisition procedure, a display screen information generation procedure, and an information output procedure, The information acquisition step acquires future prediction information for the subject, The subject's future prediction information includes the subject's future physical and mental state prediction information and the subject's future living condition prediction information, The prediction information of the subject's future physical and mental state includes risk information of a specific event occurring in the future, The future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur, the display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject; the information output step outputs the display screen to a display device. A computer-readable recording medium that records a program for causing a computer to execute each of the above procedures.