Apparatus and system for supporting creation of plans for preventing weakness, MCI, and cognitive disorders, and recommending lifestyle proposal

Abstract

The purpose of the present invention is to assist in making plans for preventing weakness, MCI, and cognitive disorders, which are suitable for improving the state of a user, on the basis of Evidence-based. The present invention is a lifestyle proposal recommendation device for supporting the formulation of a weakness, MCI, and cognitive disease prevention plan for supporting the formulation of a weakness, MCI, and cognitive disease prevention plan, the lifestyle proposal recommendation device being provided with: an initial state information acquisition unit for acquiring initial state information relating to the state of a user who requires prevention of weakness or the like at a specific point in time; a target information acquisition unit for acquiring target information; a prevention content information acquisition unit such as weakness for acquiring prevention content information such as weakness; and a prognosis prediction model that is generated by performing machine learning on basic prevention content information relating to the content of the prevention of the weakness and the like used by an experiencer who previously uses the prevention of the weakness and the like, and basic state information relating to the state of the experiencer who previously uses the prevention of the weakness and the like. And a prognosis prediction unit that, on the basis of the initial state information and prevention content information such as weakness of the user, predicts the prognosis state of the user after a specific period from the specific point in time, said prognosis state being related to the target, and outputs prognosis state information related to the prognosis state.

Description

Technical Field

[0001] This invention relates to developing frailty, mild cognitive impairment (MCI), and dementia prevention plans based on user circumstances, and to providing support for developing frailty prevention plans, MCI prevention plans, and dementia prevention plans, including a frailty prevention plan development support device, an MCI prevention plan development support system, and a frailty prevention plan development method and procedure. Background Technology

[0002] Frailty refers to a decline in physical or mental function and social connection among older adults. If left untreated, it may develop into irreversible functional impairment, but with appropriate interventions, it is possible to recover to a healthy state (called robustness), and intervention studies have confirmed its preventative potential. Multicognitive impairment (MCI) refers to a state where cognitive problems exist, but daily living activities are not yet impaired. If left untreated, it may develop into dementia, but studies have reported a recovery rate of approximately 40%.

[0003] In terms of preventative healthcare, the Ministry of Health, Labour and Welfare is implementing preventative health promotion programs and preventative healthcare programs for the elderly, with over 1,000 local governments already adopting frailty health checkups. Much of the knowledge underlying these programs stems from research initiatives in frailty prevention by institutions such as the Institute for Research on Aging at the University of Tokyo. However, the most prominent organizational initiatives in advancing to the preventative intervention stage are the practices of the Institute for Research on Aging at the University of Tokyo and some local governments.

[0004] The main criteria for determining frailty include the following five items: unintentional weight loss of more than 2 kg within 6 months; grip strength below 28 kg for men and 18 kg for women; unexplained fatigue; a typical walking speed below 1.0 m / s; and answering the questions "Do you engage in light exercise and gymnastics, or regular exercise and physical activity?" less than once a week. Meeting three or more of these criteria qualifies as meeting the J-CHS criteria. These criteria were proposed by the National Center for Longevity and Geriatrics and are widely used in Taiwan.

[0005] In addition, there are basic checklists (25 items) for those aged 65 and over under the long-term care insurance program, and frailty screening programs (15 items) implemented under the late-age healthcare system for those aged 75 and over, which also include diagnostic items related to MCI. The frailty screening method invented by the Institute for Aging Societies at the University of Tokyo is one of the more reliable ones.

[0006] For the prevention of frailty or MCI, or for recovery from frailty or MCI, nutrition, exercise, and social participation are all known to be effective. Nutritional aspects include dietary diversity, protein intake, and maintenance of oral function; exercise aspects include moderate-intensity activity during leisure time and during movement; and social participation aspects include frequency of outings and at least one volunteer activity per month, all of which have been proven to have positive effects.

[0007] However, even though the effectiveness of nutrition, exercise, and social participation in the prevention and recovery of frailty and MCI has been recognized, there is still no mechanism or method to provide advice to individuals or their supporters based on data evidence regarding the future prediction of an individual's condition, nutrition, exercise, and social participation status, how to determine appropriate behavioral changes in nutrition, exercise, and social participation, and to what extent quantitative improvement should be made.

[0008] Therefore, prediction methods such as those disclosed in Patent Document 1, behavior recommendation devices such as those disclosed in Patent Document 2, and behavior recommendation methods have been developed.

[0009] In the technology described in Patent Document 1, the risk of becoming frail is predicted by scoring the answers to question items, but factors such as the degree of depression, oral function, and muscle mass, which contribute significantly to the prediction, are not included as explanatory variables. Therefore, the prediction cannot be considered reliable.

[0010] In the technology described in Patent Document 1, although the risk of becoming frail is predicted, the prediction method cannot be used to develop appropriate frailty prevention recommendations for individuals.

[0011] While the technology described in Patent Document 2 proposes a method for recommending behaviors for frailty prevention, its recommended items are limited to recommendations for medical services, suggestions for walking routes, notifications of activities, suggestions for movement routes, the softness or hardness of food, changes in food intake, changes in exercise menu load, ease of putting on and taking off clothing, ease of putting on and taking off shoes, and notifications of failure to follow the recommendations. It does not include behaviors that have a significant impact on frailty prevention, such as food diversity, protein intake, maintenance of oral function, moderate-intensity activities during leisure time, moderate-intensity activities during movement, frequency of going out, and participation in volunteer activities.

[0012] While the technology described in Patent Document 2 proposes a method for recommending behaviors to prevent weakness, this recommendation is based on the current level of weakness rather than on the prediction of the risk of becoming weak in the future.

[0013] Therefore, existing behavioral recommendation technologies for predicting and preventing frailty have not yet been able to predict an individual's future state based on their condition, nutrition, exercise, and social participation, and to use this prediction to determine appropriate behavioral changes in nutrition, exercise, and social participation, as well as the quantitative extent to which these changes should be improved, thereby providing recommendations based on data evidence.

[0014] Prior technology documents

[0015] Patent documents

[0016] Patent document 1, Japanese Patent Application Publication No. 2019-21146

[0017] Patent document 2, Japanese Patent Application Publication No. 2022-34815 Summary of the Invention

[0018] The problem to be solved by the present invention

[0019] The purpose of this invention is to support the development of frailty, MCI, and dementia prevention programs suitable for maintaining and improving the condition of users, and to support recommendations for lifestyle, by utilizing prior data and on an evidence-based basis.

[0020] Furthermore, the present invention aims to enable future predictions of an individual's condition, nutrition, exercise, and social participation, and to use these predictions to determine appropriate behavioral changes in nutrition, exercise, and social participation, as well as the quantitative extent to which these changes should be improved, thereby providing recommendations based on data evidence.

[0021] Methods for solving problems

[0022] To address the aforementioned issues, the present invention provides a device for supporting users in developing frailty, MCI, and dementia prevention plans and proposing recommended lifestyles, characterized by comprising:

[0023] Initial State Information Acquisition Unit: Used to acquire initial state information about the state of users who require prevention of frailty, MCI, and dementia at a predetermined time point;

[0024] A target information acquisition unit is used to acquire target-related information about the goals that the user wishes to achieve by utilizing the frailty, MCI, and dementia prevention program and recommended lifestyle.

[0025] The frailty, MCI and dementia prevention content acquisition unit is used to obtain frailty, MCI and dementia prevention content information about the frailty, MCI and dementia prevention plan and recommended lifestyle content.

[0026] In addition, for those with prior experience using frailty, MCI, and dementia prevention programs and recommended lifestyle practices,

[0027] Based on the frailty, MCI, and dementia prevention program and recommended lifestyle content previously used by this user, information on frailty, MCI, and dementia prevention content was provided.

[0028] And basic status information of the user's condition in relation to the frailty, MCI, and dementia prevention program and recommended lifestyle.

[0029] The prognostic prediction model is generated by using machine learning on the above information.

[0030] Based on the user's initial state information and the frailty, MCI, and dementia prevention plan and recommended lifestyle information,

[0031] The predicted state is the user's condition related to the target, after a predetermined period from the predetermined time point, i.e., the prognostic state.

[0032] It also outputs the prognostic prediction unit, which provides prognostic status information related to the prognostic status.

[0033] According to the present invention, for users with prior experience in using frailty, MCI, and dementia prevention programs and recommended lifestyles, the basic frailty, MCI, and dementia prevention content information related to the frailty, MCI, and dementia prevention programs and recommended lifestyles they have adopted, as well as the basic state information of the user with experience in using frailty, MCI, and dementia prevention programs and recommended lifestyles, can be used to generate a prognostic prediction model through machine learning. Based on the user's initial state information and frailty, MCI, and dementia prevention content information, the model can predict the prognostic state related to the target after a predetermined period from a predetermined time point.

[0034] Therefore, when users utilize specific frailty, MCI, and dementia prevention programs and recommended lifestyles, they can use past data related to experienced users of these programs and recommended lifestyles, and rely on evidence-based methods, to predict the degree of improvement or maintenance of the user's condition after a predetermined period from a predetermined point in time. This supports the development of frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's condition. A recommended lifestyle refers to a lifestyle recommended to the user when they themselves, for example, as part of self-management, are engaged in frailty, MCI, and dementia prevention. Its technical components are not substantially different from those used in developing frailty, MCI, and dementia prevention programs and proposing recommended lifestyles. In other words, support for developing frailty, MCI, and dementia prevention programs can also include support for proposing recommended lifestyles for frailty, MCI, and dementia prevention.

[0035] Here, frailty generally refers to the state of weakened physical and mental function and social connections in the elderly, but frailty in this invention is not limited to this commonly defined frailty, and may also include MCI.

[0036] Furthermore, the prevention of frailty, MCI, and dementia in this invention specifically refers to various behavioral changes by the user, including not only behavioral changes taken to prevent the onset of frailty before it occurs, but also behavioral changes taken to improve the condition or recover from frailty when it already exists. Similarly, the prevention of frailty, MCI, and dementia in this invention specifically refers to various behavioral changes by the user, including not only behavioral changes taken to prevent the onset of MCI or dementia before it occurs, but also behavioral changes taken to improve the condition or recover from MCI or dementia when it already exists.

[0037] Furthermore, the prevention of frailty, MCI, and dementia in this invention includes frailty prevention, MCI prevention, dementia prevention, frailty and MCI prevention, frailty and dementia prevention, MCI and dementia prevention, and various other situations including frailty, MCI, and dementia prevention. A frailty, MCI, and dementia prevention program is a program related to behavioral changes associated with the prevention of such frailty, MCI, and dementia.

[0038] Therefore, the frailty, MCI and dementia prevention plan development support and recommended lifestyle proposal device (system, method and procedure are also the same) involved in this invention can also be regarded as a frailty, MCI and dementia prevention plan development support device, frailty, MCI and dementia prevention recommended lifestyle proposal device, frailty prevention plan development support device, MCI prevention plan development support device, dementia prevention plan development support device, frailty prevention recommended lifestyle proposal device, MCI prevention recommended lifestyle proposal device and dementia prevention recommended lifestyle proposal device.

[0039] The basic state information used to generate the prognostic prediction model refers to the state information of the user at any point in time during the time process of the behavioral change. The basic state information preferably includes at least two points in time, such as: before and after the behavior change, before the behavior change and an intermediate point, two points in the middle of the behavior change, and a point in the middle of the behavior change and a point after the use, etc.

[0040] Furthermore, in this invention, a frailty, MCI, and dementia prevention plan and recommended lifestyle proposal department may be set up, which proposes frailty, MCI, and dementia prevention plans and recommended lifestyles based on the prognostic status information and target information output by the prognostic prediction department when the user utilizes the frailty, MCI, and dementia prevention plan and recommended lifestyle.

[0041] According to the present invention, based on the use of prior data and on evidence-based principles, it is possible to propose frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's condition.

[0042] Furthermore, in this invention, a basic information storage unit may be provided, which is used to store the basic weakness, MCI and dementia prevention content information and the basic status information associated with the user.

[0043] And a model generation unit for generating the prognostic prediction model.

[0044] According to the present invention, the user's initial state information, behavior change information and prognostic state information can be stored in the basic information storage unit, and the accumulated past data can be used to update the prognostic prediction model, thereby achieving higher accuracy in prognostic prediction.

[0045] Furthermore, the model generation unit in this invention can employ decision trees or gradient boosting trees as machine learning methods.

[0046] By employing these machine learning methods, it is possible to generate prognostic prediction models that can accurately predict prognostic outcomes. The machine learning methods that can be used in this invention are not limited to these.

[0047] Furthermore, in this invention, the initial state information, the prognostic state information, and the basic state information may include information related to at least one of the J-CHS benchmarks, frailty screening, and frailty diagnosis of the user and the user with experience.

[0048] Accordingly, as initial state information, prognostic state information, and basic state information, prognostic prediction models can be generated based on state-related information obtained from assessments using at least one of the standardized J-CHS benchmarks, the frailty screening checklist, or frailty health checks. By using these prognostic prediction models to predict prognostic states, processing efficiency and prediction accuracy can be improved. It should be noted that frailty screening and frailty health checks also include examinations related to cognitive function.

[0049] Furthermore, in this invention, the prognostic prediction unit can predict the prognostic status for frailty, MCI, and dementia prevention programs and recommended lifestyles that contribute significantly to achieving the goals of the goals.

[0050] Accordingly, it is possible to identify target-related prognostic states that are effective in maintaining and improving the user's condition and that are achieved through frailty, MCI, and dementia prevention (behavioral changes).

[0051] Furthermore, in this invention, the prognostic prediction unit can also target frailty, MCI, and dementia prevention, which contribute significantly to the achievement of the goal, and includes at least one of the following: dietary diversity, protein and vegetable intake, oral function maintenance behaviors, activity level during mobility, moderate-intensity activity during leisure time, high-intensity activity during leisure time, social participation evaluation value, and commercially available or prescription drugs.

[0052] Furthermore, in this invention, the frailty, MCI, and dementia prevention plan and recommended lifestyle proposal department can, through optimization methods, propose the frailty, MCI, and dementia prevention plan and recommended lifestyle that is most likely to achieve the prognostic state close to the stated goal.

[0053] Based on this, more targeted frailty, MCI, and dementia prevention plans and recommended lifestyles can be developed.

[0054] Furthermore, in this invention, the frailty, MCI, and dementia prevention program and recommended lifestyle proposal department can propose frailty, MCI, and dementia prevention programs and recommended lifestyles that can improve the prognostic prediction for a particular user by using a prognostic prediction description method for assessing the importance of input variables that contribute to the prognostic status of the particular user.

[0055] Based on this, more targeted frailty, MCI, and dementia prevention plans and recommended lifestyles can be developed for specific users. Furthermore, LIME (Local Interpretable Model-Agnostic Explanations) can be used as a prognostic method, but it is not limited to this.

[0056] Furthermore, in this invention, a second frailty, MCI, and dementia prevention plan and recommended lifestyle formulation unit may be provided. This formulation unit is used to formulate a second frailty, MCI, and dementia prevention plan and recommended lifestyle by referring to the frailty, MCI, and dementia prevention plan and recommended lifestyle proposed by the frailty, MCI, and dementia prevention plan and recommended lifestyle proposal unit.

[0057] Accordingly, operators, including the user's own healthcare provider, can refer to the frailty, MCI, and dementia prevention plans and recommended lifestyles proposed based on evidence using past data, and combine them with their own knowledge and experience to develop a second frailty, MCI, and dementia prevention plan and recommended lifestyle.

[0058] Furthermore, in this invention, the second frailty, MCI, and dementia prevention plan and recommended lifestyle formulation unit can formulate the second frailty, MCI, and dementia prevention plan and recommended lifestyle by modifying the frailty, MCI, and dementia prevention plan and recommended lifestyle proposed by the frailty, MCI, and dementia prevention plan and recommended lifestyle proposal unit.

[0059] Accordingly, operators, including the user's own healthcare provider, can easily develop a second frailty, MCI, and dementia prevention plan and recommended lifestyle by modifying the evidence-based prevention plan and recommended lifestyle based on the use of past data and combining it with their own knowledge and experience.

[0060] Furthermore, in this invention, the prognosis prediction unit can predict the prognostic status of the user based on the frailty, MCI, and dementia prevention content information included in the second frailty, MCI, and dementia prevention plan and recommended lifestyle, as well as the initial state information.

[0061] Accordingly, the plan can be evaluated and revised using the second frailty, MCI and dementia prevention plan and recommended lifestyle developed by the second frailty, MCI and dementia prevention plan and recommended lifestyle development department, and the prognostic status of the second frailty, MCI and dementia prevention plan and recommended lifestyle predicted by the prognostic prediction department can be utilized.

[0062] Furthermore, in this invention, a prognosis prediction display unit may be provided to display the prognosis status information predicted by the prognosis prediction unit.

[0063] Accordingly, the operator can identify the prognostic status predicted by the prognostic prediction unit through the prognostic prediction display unit.

[0064] Furthermore, in this invention, a proposal plan display unit may be provided to display the frailty, MCI and dementia prevention plans and recommended lifestyles proposed by the frailty, MCI and dementia prevention plan and recommended lifestyle proposal unit.

[0065] Accordingly, operators can identify frailty, MCI and dementia prevention programs and recommended lifestyles proposed by the Frailty, MCI and Dementia Prevention Program and Recommended Lifestyle Proposal Department through the proposal program display section.

[0066] The present invention comprises a frailty, MCI and dementia prevention plan development support and recommended lifestyle proposal device, and a frailty, MCI and dementia prevention plan development support and recommended lifestyle proposal system consisting of a terminal communicatively connected to the frailty, MCI and dementia prevention plan development support and recommended lifestyle proposal device.

[0067] Accordingly, by utilizing a terminal that can communicate with devices that develop supportive and recommended lifestyle proposals for frailty, MCI, and dementia prevention programs, when a user employs a specific frailty, MCI, and dementia prevention program and recommended lifestyle, the system can predict, based on evidence-based data from experienced users of these programs and recommended lifestyles, the extent to which the user's condition will improve or be maintained after a specific period from a specific point in time. Therefore, this system can assist in developing frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's condition.

[0068] This invention is a system for supporting and recommending lifestyle proposals for the development of prevention plans for frailty, MCI, and dementia.

[0069] The device includes a support and lifestyle proposal recommendation system for developing frailty, MCI and dementia prevention plans. The device has a basic information storage unit for storing basic frailty, MCI and dementia prevention content information and basic status information associated with the user.

[0070] And a user information display terminal, which can communicate with the frailty, MCI and dementia prevention program development support and recommended lifestyle proposal device, and is equipped with a statistical information display unit for displaying statistical values ​​related to the prevention of frailty, MCI and dementia, i.e. the statistical information of frailty, MCI and dementia prevention.

[0071] Accordingly, various frailty, MCI, and dementia prevention statistics can be provided by statistically processing the basic frailty, MCI, and dementia prevention content information and basic status information associated with the user's experience stored in the basic information storage department. The frailty, MCI, and dementia prevention statistics include statistical values ​​of behavioral content related to frailty, MCI, and dementia prevention (food diversity, protein and vegetable intake, oral function maintenance, mobility activities, moderate-intensity leisure activities, vigorous-intensity leisure activities, social participation, and over-the-counter or prescription medications), such as: the average value at the last assessment, the average value at the most recent assessment, and the percentage increase or decrease of these values, but not limited to these.

[0072] Furthermore, the present invention may also include a usage fee calculation unit, which is used to calculate the usage fee of the device for developing support and recommended lifestyle proposals for the frailty, MCI and dementia prevention program based on the frailty, MCI and dementia prevention statistics.

[0073] Accordingly, the usage fee for frailty, MCI and dementia prevention support and recommended lifestyle proposal devices can be calculated based on frailty, MCI and dementia prevention statistics. This will take into account factors such as whether frailty, MCI and dementia prevention plans have been developed based on evidence and utilizing past data to maintain and improve the user's condition.

[0074] This invention provides a method for supporting the development of frailty, MCI, and dementia prevention plans and proposing recommended lifestyles. It assists users who need to prevent frailty, MCI, and dementia in developing prevention plans and proposes recommended lifestyles. The method is characterized by the following steps:

[0075] The steps of obtaining initial state information related to the state of the user who needs to be prevented from frailty, MCI and dementia at the predetermined time point;

[0076] The step of obtaining the goal information related to the goals that the user is trying to achieve by utilizing the frailty, MCI and dementia prevention program and recommended lifestyle;

[0077] Steps for obtaining information on frailty, MCI, and dementia prevention content related to frailty, MCI, and dementia prevention programs and recommended lifestyles;

[0078] And, based on the user's initial state information and the frailty, MCI, and dementia prevention plan and recommended lifestyle information,

[0079] Furthermore, a prognostic prediction model is generated by machine learning on basic frailty, MCI, and dementia prevention content information related to the content of the frailty, MCI, and dementia prevention program and recommended lifestyle used by the user with prior experience in using the program and recommended lifestyle, as well as basic state information related to the user's state related to the program and recommended lifestyle. This model is used to predict the user's state, i.e., prognostic state, which is related to the target and occurs after a specific period of time from the specific point in time.

[0080] Accordingly, for users with prior experience using frailty, MCI, and dementia prevention programs and recommended lifestyles, a prognostic prediction model can be generated through machine learning. This model utilizes basic frailty, MCI, and dementia prevention content information related to the content of these programs and recommended lifestyles, as well as basic state information related to the user's condition. Based on the user's initial state information and the frailty, MCI, and dementia prevention content information, it can predict the target-related prognostic state after a specific period from a specific point in time. Therefore, when a user utilizes a specific frailty, MCI, and dementia prevention program and recommended lifestyle, based on the use of prior data related to users of these programs and recommended lifestyles, and on an evidence-based basis, it can predict the degree of improvement or maintenance of the user's condition after a specific period from a specific point in time. This can support the development of frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's condition.

[0081] Furthermore, based on this, for users with prior experience using frailty, MCI, and dementia prevention programs and recommended lifestyles, a prognostic prediction model can be generated through machine learning. This model utilizes basic frailty, MCI, and dementia prevention content information used by these users, as well as basic state information related to their status at at least two time points related to the frailty, MCI, and dementia prevention programs and recommended lifestyles. Based on the user's initial state information and behavioral change information, it can predict the target-related prognostic status after a specific period from a specific time point. Therefore, when a user uses a specific frailty, MCI, and dementia prevention program and recommended lifestyle, based on the use of prior data related to users of these programs and recommended lifestyles, and on an evidence-based basis, it can predict the degree to which the user's status will improve or be maintained after a specific period from a specific time point. This can support the development of frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's status.

[0082] Furthermore, this invention is a program for developing support and recommending lifestyle proposals for frailty, MCI, and dementia prevention programs, used to enable a computer to execute the aforementioned method for developing support and recommending lifestyle proposals for frailty, MCI, and dementia prevention programs.

[0083] Accordingly, for users with prior experience using frailty, MCI, and dementia prevention programs and recommended lifestyles, a prognostic prediction model can be generated through machine learning. This model utilizes basic frailty, MCI, and dementia prevention content information used by the users, as well as basic state information related to the users' status in relation to frailty, MCI, and dementia prevention programs and recommended lifestyles. Based on the user's initial state information and behavioral change information, it can predict the goal-related prognostic status after a specific period from a specific point in time.

[0084] Therefore, when users utilize specific frailty, MCI, and dementia prevention programs and recommended lifestyles, the system can predict, based on evidence-based data from experienced users of these programs and recommended lifestyles, the extent to which a user's condition will improve or be maintained after a specific period from a specific point in time. This enables the computer to support the development of frailty, MCI, and dementia prevention programs suitable for maintaining and improving the user's condition, and to propose recommended lifestyle interventions for frailty, MCI, and dementia prevention.

[0085] The effects of the invention

[0086] According to the present invention, a technique is provided that, based on the use of prior data and on an evidence-based basis, supports the development of frailty, MCI, and dementia prevention programs and recommended lifestyles suitable for maintaining and improving the user's condition. Attached Figure Description

[0087] [Figure 1] is a diagram showing the general structure of the frailty, MCI and dementia prevention program development support and recommended lifestyle proposal system involved in Embodiment 1 of the present invention.

[0088] [Figure 2] is a diagram showing an example of a screen displayed on the display unit of the plan formulation terminal according to Embodiment 1 of the present invention.

[0089] [Figure 3] is a diagram showing an example of a screen displayed in the display section of the user information display terminal according to Embodiment 1 of the present invention.

[0090] [Figure 4] is a diagram showing an example of a screen displayed on the display section of a plan formulation terminal according to a modified example of Embodiment 1 of the present invention. Detailed Implementation

[0091] [Example 1]

[0092] The frailty, MCI, and dementia prevention program development support and recommended lifestyle proposal system 1 according to Embodiment 1 of the present invention will be described in more detail below with reference to the accompanying drawings. However, the structure of the device and system described in this embodiment can be appropriately modified according to various conditions. That is, the scope of the present invention is not intended to be limited to the following embodiments.

[0093] Figure 1 The diagram shows a general structure of the frailty, MCI and dementia prevention program development support and recommended lifestyle proposal system 1, which includes a support server 3, according to Embodiment 1 of the present invention. Figure 2 An illustrative diagram showing an example of a frailty, MCI, and dementia prevention program proposal display, as well as a prognostic prediction display. Figure 3 An example of user information display is shown.

[0094] like Figure 1As shown, the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal system 1 involved in this embodiment consists of a plan development terminal 2 connected to a support server 3 via a network N1 such as the Internet, and a support server 3 connected to a user information display terminal 4 via a network N2 such as the Internet. It should be noted that the networks N1 and N2 used to connect the plan development terminal 2 and the support server 3, and the support server 3 and the user information display terminal 4, can be various communication networks such as VPN (Virtual Private Network) and intranet, in addition to the Internet. Furthermore, the plan development terminal 2 and the support server 3, and the support server 3 and the user information display terminal 4, can also be connected via appropriate wired or wireless communication methods. For simplicity, in... Figure 1 The support server 3 connects to only one plan formulation terminal 2, but it can also connect to multiple plan formulation terminals 2. The same applies to the connection between the support server 3 and the user information display terminal 4. The Frailty, MCI, and Dementia Prevention Plan Formulation Support and Recommended Lifestyle Proposal System 1 can also be considered as a Frailty, MCI, and Dementia Prevention Plan Support System, a Frailty, MCI, and Dementia Prevention Recommended Lifestyle Proposal System, a Frailty Prevention Plan Support System, an MCI Prevention Plan Support System, a Dementia Prevention Plan Support System, a Frailty Prevention Recommended Lifestyle Proposal System, an MCI Prevention Recommended Lifestyle Proposal System, and a Dementia Prevention Recommended Lifestyle Proposal System.

[0095] The people who use the plan to develop Terminal 2, in the frailty, MCI and dementia prevention plan involved in this embodiment, are mainly the elderly themselves, the implementers of frailty, MCI and dementia prevention activities, health care workers, physical therapists and doctors.

[0096] The project formulation terminal 2 is a personal computer (hereinafter referred to as PC), which has input units 20 such as a keyboard, touch panel, mouse, scanner, and camera, and output units 21 such as a monitor and printer. Although not shown in the figure, the project formulation terminal 2 is also equipped with storage devices such as hard disk drives (HDDs) and memory, as well as computing devices such as central processing units (CPUs). It should be noted that the project formulation terminal 2 is not limited to a PC, and may also be a portable terminal such as a smartphone, tablet computer, or mobile phone.

[0097] Although the proposal formulation terminal 2 is not shown in the figure, it is also equipped with a communication device. It can send the information input through the user target input unit 22, user status input unit 23 and proposal formulation unit 24 in the input unit 20 to the support server 3, and can receive the information from the support server 3. It can also display the information on the prognosis display unit 25 and proposal program display unit 26 included in the output unit 21.

[0098] The support server 3 consists of one or more servers (computers) that support the development of frailty, MCI, and dementia prevention programs based on computer programs. The support server 3 is equipped with one or more storage devices, one or more computing devices, and communication devices, and may also be equipped with input units such as a keyboard, touch panel, mouse, scanner, and camera, as well as output units such as a monitor and printer. It has a user information database 31 (user information storage unit) and a frailty, MCI, and dementia prevention program database 32 (frailty, MCI, and dementia prevention program storage unit) (hereinafter referred to as "DB"). Furthermore, the support server 3 also has a target setting unit 33, a prognosis prediction model generation unit 34, a prognosis prediction unit 35, and a frailty, MCI, and dementia prevention program and recommended lifestyle proposal unit 36. The frailty, MCI, and dementia prevention program corresponds to the frailty, MCI, and dementia prevention program of this invention. Each DB and unit will be described in detail below.

[0099] User information DB31 is a database used to store user information related to the user. User information includes basic information such as the user's gender and age; status evaluation information such as J-CHS benchmark assessment values, frailty screening items, frailty health checkup items, activity time, BMI, muscle mass, blood pressure, oral frailty assessment values, motor function assessment values, depression assessment values, and dementia assessment values; and frailty status evaluation information (behavioral content) such as dietary diversity, protein and vegetable intake, oral function maintenance behavior assessment values, and social participation assessment values. Behavioral change is equivalent to changing these behavioral contents. User information corresponds to information about the user's or experienced user's status in this invention. Furthermore, the status of the experienced user associated with specific time points corresponding to behavioral changes related to frailty, MCI, and dementia prevention, such as before, during, and after behavioral change implementation, corresponds to the initial and basic states of this invention, and the information related to these states corresponds to the initial and basic state information of this invention, respectively. Furthermore, the user's status after a specific period from the aforementioned specific time point is equivalent to the prognostic status of the present invention, and the related information is equivalent to the prognostic status information of the present invention.

[0100] The user information recorded in the user information DB31 may also include the user's medical history information (stroke, diabetes, hyperlipidemia, osteoporosis, chronic renal insufficiency, dialysis, fracture, heart disease), food intake, snack intake, whether there is a cohabitant, calf circumference, thigh circumference, grip strength, pinching strength, standing on one leg with eyes open, TUG (timed up & go test), normal walking speed, maximum walking speed, continuous standing, etc.

[0101] The Frailty, MCI, and Dementia Prevention Program DB32 stores information on frailty, MCI, and dementia prevention programs implemented based on the aforementioned user information and goals, such as the name of the frailty, MCI, and dementia prevention program and the amount (time, frequency, intensity) of behavior changes (behavioral content). The frailty, MCI, and dementia prevention program information stored in the Frailty, MCI, and Dementia Prevention Program DB32 is also information on recommended lifestyles for frailty, MCI, and dementia prevention. The frailty, MCI, and dementia prevention program information described herein corresponds to the frailty, MCI, and dementia prevention content information of this invention. Users of previously implemented frailty, MCI, and dementia prevention behavior change programs are equivalent to users with experience of this invention, and the previously implemented frailty, MCI, and dementia prevention program information corresponds to the basic frailty, MCI, and dementia prevention content information of this invention. Furthermore, the frailty, MCI, and dementia prevention program DB32 and user information DB31 correspond to the basic information storage unit of this invention.

[0102] The prognostic prediction model generation unit 34 generates a prognostic prediction model for predicting the user's frailty status assessment information a certain period later by applying machine learning algorithms such as decision trees or gradient boosting trees to the data stored in the user information DB 31, frailty, MCI, and dementia prevention program DB 32, using the user's frailty status assessment information and information from the frailty, MCI, and dementia prevention program as input. The prognostic prediction model generation unit 34 can also limit the types of behavioral changes to those that can significantly increase the probability of achieving frailty, MCI, and dementia prevention goals and contribute highly to goal achievement, thereby generating the prognostic prediction model. Furthermore, the prognostic prediction model generation unit 34 can update the prognostic prediction model using newly added or corrected data as needed. The prognostic prediction model generation unit 34 corresponds to the model generation unit of the present invention. Additionally, the machine learning algorithm corresponds to the machine learning method of the present invention.

[0103] The goal setting unit 33 sets goals based on J-CHS standards, frailty screening items, or frailty status assessment items from frailty health checkups, or using the total score as the improvement goal. A specific structural example of the goal setting unit 33 will be described later in the user screen 210 shown in FIG2. The goals for frailty, MCI, and dementia prevention described herein correspond to the goal information of this invention, and the goal setting unit 33 corresponds to the goal information acquisition unit of this invention.

[0104] The prognosis prediction unit 35 takes user information and information on frailty, MCI, and dementia prevention procedures as input, and uses the prognosis prediction model created by the prognosis prediction model generation unit 34. This model has the function of predicting changes in improvement indicators set by the target setting unit 33 over a certain period. The prognosis prediction model generation unit 34 and the prognosis prediction unit 35, as evaluation methods for frailty, can also utilize the J-CHS standard, which has been standardized for evaluation methods. The prognosis prediction unit 35 is equivalent to the prognosis prediction unit of this invention. Furthermore, the user information and information on frailty, MCI, and dementia prevention procedures input in the plan formulation terminal 2, obtained via the communication unit or from the user information DB31 and the frailty, MCI, and dementia prevention procedure DB32, and used by the prognosis prediction unit 35 (not shown), is equivalent to the initial state information acquisition unit and the frailty, MCI, and dementia prevention content information acquisition unit of this invention.

[0105] The frailty, MCI, and dementia prevention program and recommended lifestyle proposal unit 36 ​​utilizes information about the target user input in the user status input unit 23, improvement indicators set by the goal setting unit 33, and a prognostic prediction model created by the prognostic prediction model generation unit 34. It has the function of proposing a frailty, MCI, and dementia prevention program with the highest probability of improvement in the improvement indicators after a certain period. Specifically, for example, optimization techniques such as the Nelder-Mead method or Bayesian optimization can be used to explore and output the frailty, MCI, and dementia prevention program that maximizes the probability of improvement in the improvement indicators output by the prognostic prediction model. Furthermore, prognostic prediction interpretation techniques such as LIME can be used to evaluate the importance of input variables contributing to the prognostic prediction results for a specific user, thereby proposing a frailty, MCI, and dementia prevention program that helps improve the prognostic prediction results for that user. The frailty, MCI, and dementia prevention program proposed by the frailty, MCI, and dementia prevention program and recommended lifestyle proposal section 36 includes recommended lifestyles for frailty, MCI, and dementia prevention. Here, the frailty, MCI, and dementia prevention program is equivalent to the frailty, MCI, and dementia prevention plan of this invention, and the frailty, MCI, and dementia prevention program and recommended lifestyle proposal section 36 is equivalent to the frailty, MCI, and dementia prevention plan and recommended lifestyle proposal section of this invention.

[0106] The statistical processing unit 37 has the function of performing statistical processing on the user information stored in the user information DB 31. The statistical processing unit 37 has the function of calculating various statistical values ​​described later and displaying them on the user basic information display unit 42, the weak status display unit 43 and the behavior content display unit 44 of the user information display terminal 4.

[0107] The usage fee calculation unit 38 has the function of calculating the usage fee of the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal system 1 based on the statistical values ​​calculated by the statistical processing unit 37. The usage fee calculation unit 38 can, for example, maintain a usage fee table or usage fee calculation formula that specifies the relationship between the statistical values ​​calculated by the statistical processing unit 37 and the usage fee, and can calculate the usage fee based on this. Alternatively, the usage fee calculation unit 38 may not be present, and the usage fee may be obtained from an external device via a network. The usage fee calculation unit 38 corresponds to the usage fee calculation unit of the present invention.

[0108] The plan formulation unit 24 has the function of establishing the goals of frailty, MCI, and dementia prevention and their corresponding frailty, MCI, and dementia prevention procedures, and formulating the final frailty, MCI, and dementia prevention plan. Specifically, it has the function of formulating a frailty, MCI, and dementia prevention plan and recommended lifestyle based on the frailty, MCI, and dementia prevention procedures proposed by the frailty, MCI, and dementia prevention procedures and recommended lifestyle proposal unit 36 ​​and displayed on the proposal procedure display unit 26, as well as the previously formulated procedures. In addition, the plan formulation unit 24 can also modify the frailty, MCI, and dementia prevention procedures proposed by the frailty, MCI, and dementia prevention procedures and recommended lifestyle proposal unit 36 ​​according to the user's preferences, changes in user information, and the experience of the plan form creator. A specific structural example of the plan formulation unit 24 will be described later in the user screen 210 shown in FIG2. The plan formulation unit 24 is equivalent to the second frailty, MCI, and dementia prevention plan and recommended lifestyle formulation unit of the present invention. Furthermore, the frailty, MCI, and dementia prevention program formulated by the program formulation department 24 is equivalent to the second frailty, MCI, and dementia prevention program and recommended lifestyle of the present invention.

[0109] The prognosis prediction display unit 25 has the function of displaying the predicted values ​​of improvement indicators after a certain period of implementation of the frailty, MCI, and dementia prevention program formulated by the program formulation unit 24. Users of the support server 3 can refer to the prognosis prediction results and other relevant information to revise the frailty, MCI, and dementia prevention program and recommended lifestyles as needed, and can repeatedly display the prognosis predictions of the revised program. A specific structural example of the prognosis prediction display unit 25 will be described later in the user screen 210 shown in FIG2. The prognosis prediction display unit 25 corresponds to the prognosis prediction display unit of the present invention.

[0110] The proposal program display unit 26 has the function of displaying the frailty, MCI, and dementia prevention programs proposed by the frailty, MCI, and dementia prevention programs and recommended lifestyle proposal units 36. A specific structural example of the proposal program display unit 26 will be described later in the user screen 210 shown in FIG2. The proposal program display unit 26 corresponds to the proposal plan display unit of the present invention.

[0111] The support server 3 thus constructed can automatically propose frailty, MCI and dementia prevention programs based on statistical evidence, suitable for users and effective and efficient by inputting the necessary user information and target information from the program formulation terminal 2.

[0112] By using the frailty, MCI, and dementia prevention program development support and recommended lifestyle proposal system1, program developers can easily develop frailty, MCI, and dementia prevention programs based on statistical evidence while referring to the proposed frailty, MCI, and dementia prevention procedures.

[0113] The aforementioned frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal system 1 corresponds to the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal system of the present invention. The support server 3 corresponds to the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal device of the present invention, and the plan development terminal 2 corresponds to the terminal of the present invention. Although an example has been described above, part or all of the support server 3 and plan development terminal 2 may also be configured to correspond to the structure of the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal device of the present invention. The structure of the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal device and terminal of the present invention is not limited to the structure of the support server 3 and plan development terminal 2 as an example.

[0114] The user information display terminal 4 displays various statistical values ​​calculated by the statistical processing unit 37 (described later) on the user information display section 41. The user information display terminal 4 is equivalent to the user information display terminal of the present invention.

[0115] The user information display terminal 4 is a personal computer (hereinafter referred to as PC), which at least has an output unit such as a display. Although not shown in the figure, the user information display terminal 4 is also equipped with storage devices such as an HDD and a memory, a computing device such as a CPU, and a communication unit. In addition, it may also be equipped with input units such as a keyboard, a touch panel, a mouse, a scanner, and a camera. It should be noted that the user information display terminal 4 is not limited to a PC, and may also be a portable terminal such as a smartphone, tablet computer, or mobile phone. The display included in the output unit of the user information display terminal 4 constitutes the user information display unit 41 described later.

[0116] Users of the user information display terminal 4 include local government healthcare workers, health insurance portfolio staff, and insurance company staff. Through the behavioral changes resulting from the implementation of frailty, MCI, and dementia prevention programs, they can confirm whether the user's frailty status assessment items have been improved or maintained.

[0117] The user of the user information display terminal 4 pays a usage fee for the frailty, MCI, and dementia prevention plan development support and recommended lifestyle proposal system 1 based on the displayed information. The usage fee is calculated by the usage fee calculation unit 38.

[0118] (J-CHS Standard)

[0119] The J-CHS criteria include the following items: weight loss (unintentional weight loss of more than 2 kg within 6 months), decreased muscle strength (grip strength: less than 27 kg for men and less than 18 kg for women), fatigue (feeling tired for no apparent reason in the past 2 weeks), walking speed (usually walking speed less than 1.0 m / s), and physical activity (answering "No more than once a week" to both questions "Do you engage in light exercise or gymnastics?" and "Do you regularly engage in exercise or physical activity?"). Those meeting 3 or more of the above criteria are considered frail, those meeting 1 or 2 criteria are considered pre-frail, and those meeting none are considered robust.

[0120] (Frailty Screening Program) The frailty screening program includes 11 simple methods and 25 in-depth screening methods invented by the Institute for Comprehensive Research on Aging Societies at the University of Tokyo. Users simultaneously screen and raise awareness by placing red stickers on items indicating a risk level and blue stickers on items indicating a non-risk level.

[0121] This simple method involves answering "yes" or "no" to the following questions Q1 through Q11, and then affixing a blue or red sticker as described above. Q1: Compared to peers of similar age, do you pay attention to a healthy diet? Q2: Do you eat at least twice a day a meal that includes both vegetables and a main dish (meat or fish)? Q3: Can you bite through hard foods like dried squid or pickled radish normally? Q4: Do you choke when drinking tea or soup? Q5: Have you exercised for at least 30 minutes, twice a week for the past year or more, until you sweat? Q6: In your daily life, do you walk or engage in equivalent physical activity for at least one hour every day? Q7: Compared to peers of similar age, do you consider yourself to walk faster? Q8: Have you gone out less often compared to last year? Q9: Do you eat with others at least once a day? Q10: Do you consider yourself energetic? Q11: Are you most concerned about forgetfulness? Of the 11 items above, Q1 to Q4 relate to nutrition (diet, oral health), Q5 to Q7 to exercise, and Q8 to Q11 to social participation. For Q1 and Q2, if you answered "yes" to two, it indicates "you seem to have a strong awareness of your eating habits"; if you answered "yes" to 0 or 1, it indicates "you may lack awareness of your eating habits." Furthermore, for Q3 to Q11, if you answered "yes" to 6 to 9, it indicates "you are likely to maintain good muscle mass"; if you answered "yes" to 0 to 5, it indicates "you may have muscle weakness or other health problems."

[0122] In addition, the in-depth approach involves answering questions 1 through 25 below, selecting "yes" or "no" (excluding item 12). Item 1: Are you able to travel independently by bus or tram? Item 2: Do you buy daily necessities? Item 3: Do you deposit or withdraw money from your bank account? Item 4: Do you visit friends' homes? Item 5: Do you listen to advice from family or friends? Item 6: Are you able to climb stairs without holding onto handrails or walls? Item 7: Are you able to stand up from a seated position without support? Item 8: Are you able to walk continuously for about 15 minutes? Item 9: Have you fallen in the past year? Item 10: Do you have significant anxiety about falling? Item 11: Have you lost more than 2 to 3 kg in the past 6 months? Item 12: Height ~ cm, Weight ~ kg (BMI = ~). Item 13: Compared to six months ago, do you find hard foods more difficult to chew? Item 14: Do you choke when drinking tea or soup? Item 15: Do you experience dry mouth? Item 16: Do you go out more than once a week? Item 17: Have your opportunities to go out decreased compared to last year? Item 18: Do people around you say you have forgetfulness, such as "always asking the same questions"? Item 19: Do you look up phone numbers and make calls yourself? Item 20: Do you sometimes forget what day it is? Item 21: (In the past two weeks) Have you felt a lack of fulfillment in your daily life? Item 22: (In the past two weeks) Have you found things you used to enjoy no longer interesting? Item 23: (In the past two weeks) Have you found things that used to be easy to do now difficult? Item 24: (In the past two weeks) Have you felt like a useless person? Item 25: (In the past two weeks) Have you felt inexplicably tired? Regarding Item 12, it is considered acceptable if the BMI (weight (kg) ÷ height (cm) ÷ height (cm)) is less than 18.5. Of the 25 items mentioned above, items 6 to 10 relate to exercise, items 11 to 12 to nutrition, items 13 to 15 to oral health, items 16 to 17 to social isolation, items 18 to 20 to dementia, and items 21 to 25 to depression. This in-depth frailty screening method is used to determine a person's potential to utilize municipal nursing and prevention services if the total score for items 6 to 10 is 3 or higher, or the total score for items 11 to 12 is 2 or higher, or the total score for items 13 to 15 is 2 or higher, or the total score for items 1 to 20 is 10 or higher.

[0123] (Weakness and Health Check)

[0124] Frailty assessment is used in the long-term care insurance system as a method for early identification of comprehensive care recipients. This frailty assessment uses a questionnaire containing the following 15 questions: No. 1: How is your current health status? No. 2: Are you satisfied with your daily life? No. 3: Do you eat three meals a day regularly? No. 4: Compared to six months ago, do you find hard foods more difficult to chew (such as dried squid, pickled radish, etc.)? No. 5: Do you choke when drinking tea or soup? No. 6: Have you lost more than 2 to 3 kg in the past six months? No. 7: Do you feel your walking speed has slowed down compared to before? No. 8: Have you fallen in the past year? No. 9: Do you engage in exercise such as walking more than once a week? No. 10: Have people around you said you have... Forgetfulness symptoms such as "always asking the same questions" No. 12: Do you smoke? No. 13: Do you go out more than once a week? No. 14: Do you usually interact with family or friends? No. 15: When you are not feeling well, do you have someone you can talk to? Regarding No. 1, the answer options are... "Good", "Fairly Good", "Not So Good", "Not Good"; Regarding No. 2 The answer options are "Satisfied", "Somewhat Satisfied", "Somewhat Dissatisfied", "Dissatisfied"; Regarding No. 12 The answer options are "Currently using," "Not using," "Quit"; all other items should be answered "Yes" or "No." No. 1 indicates a healthy state. No. 2 pertains to mental health; No. 3 pertains to eating habits; No. 4 to No. 5 pertain to oral function; No. 6 pertains to weight changes; No. 7 to No. 9 pertain to exercise and falls; No. 10 to No. 11 pertain to cognitive function; No. 12 pertains to smoking; No. 13 to No. 14 pertain to social participation; and No. 15 pertains to social support.

[0125] The goal of frailty, MCI, and dementia prevention programs is to reduce the number of items that meet or do not meet the J-CHS criteria, frailty screening, and frailty health checkup requirements.

[0126] The frailty, MCI, and dementia prevention program documents which behaviors should be quantitatively modified and to what extent, regarding dietary diversity, protein and vegetable intake, oral function maintenance behavior assessment values, exercise habits, social participation, and the use of commercially available or prescription drugs.

[0127] Dietary diversity consists of 10 food groups: meat, seafood, eggs, milk, soy products, green and yellow vegetables, seaweed, fruits, potatoes, and oils. The number of food groups that are "eaten almost every day" can be used as a behavioral evaluation value.

[0128] Protein and vegetable intake can be assessed by evaluating whether or not meat, seafood, and vegetables are consumed "almost every day".

[0129] The oral function maintenance behavior evaluation value can be the sum of the number of dental visits and brushing teeth more than twice a day.

[0130] Regarding exercise habits, the frequency, duration, and number of minutes of activities accompanying movement (activity level during movement), the frequency, duration, and number of minutes of high-intensity activities during leisure time (high-intensity activity level during leisure time), and the frequency, duration, and number of minutes of moderate-intensity activities during leisure time (moderate-intensity activity level during leisure time) can be used as behavioral evaluation values.

[0131] Regarding behaviors involving social participation, the evaluation values ​​of the Lubben Social Network Scale (LSNS-6) and the evaluation values ​​of the Basic Checklist for Weaknesses from the Ministry of Health, Labour and Welfare of Japan can be used as behavioral evaluation values.

[0132] (User screen)

[0133] Figure 2 shows an example of a user screen 210 displayed on the output unit 21. Here, an example is shown where one screen of the output unit 21 includes the user target input unit 22, the plan formulation unit 24, the prognosis prediction display unit 25, and the proposal procedure display unit 26. However, the plan formulation unit 24, the prognosis prediction display unit 25, and the proposal procedure display unit 26 can also be displayed as separate screens on the output unit 21. Furthermore, the description of the user screen 210 will also explain the methods for proposing support and recommended lifestyles for frailty, MCI, and dementia prevention plans, as well as the procedures for proposing support and recommended lifestyles for frailty, MCI, and dementia prevention plans. The user screen 210 is a screen displayed and operated by the plan formulater (operator), such as the individual or healthcare professional, on the output unit 21 of the plan formulation terminal 2.

[0134] The user screen 210 includes the following columns: "User Status" 211, "Evaluation Benchmark Evaluation Items" 212, "Current Status" 213, "Improvement Goals" 214, "Improvement Probability (AI)" 215, "Improvement Probability (Plan)" 216, "Behavioral Content AI Proposal Procedure" 218, and "Behavioral Content Plan" 219.

[0135] The "User Status" column 211 displays the user's age, gender, BMI, blood pressure, oral weakness assessment value, motor function assessment value, depression assessment value, dementia assessment value, and muscle mass. This user status information is separately entered by the user status input unit 23 and stored in the user information DB 31, while the "User Status" column 211 displays the user status information obtained from the user information DB 31.

[0136] The "Current Status" column 213 displays the current status of the five evaluation items of the J-CHS benchmark shown in the "Evaluation Benchmark Evaluation Items" column 212. If the condition is met (weight loss of more than 2 kg within 6 months (involuntary)), "Yes" is displayed in the "Current Status" column 214 of that evaluation benchmark evaluation item row; otherwise, "No" is displayed. This weakness status information is separately entered by the user status input unit 23 and stored in the user information DB 31, while the "Current Status" column 213 displays the weakness status information obtained from the user information DB 31.

[0137] The "Improvement Target" column 214 displays the improvement target values ​​and overall evaluation scores for the five evaluation items of the J-CHS benchmark. These improvement target values ​​can be entered, for example, by using an input unit 20 such as a mouse, from a drop-down menu to select whether to input each evaluation benchmark item as an improvement target. When "grip strength less than 28 kg for men and 18 kg for women" is selected as an improvement target, the "Improvement Target" column 214 for that evaluation benchmark item displays "O" (selected); if it is not selected as an improvement target, the "Improvement Target" column 214 displays "—" (not selected). The "Improvement Target" column 214, together with the input unit 20 such as a mouse, constitutes the user target input unit 22.

[0138] In the "Improvement Probability (AI)" column 215, the probability of improvement for the five evaluation items and the overall evaluation score of the J-CHS benchmark, predicted by the prognostic prediction model generated by machine learning, is displayed for users in the states shown in the "User Status" column 211 and the "Current Status" column 213, regarding the target information shown in the "Improvement Target" column 214, if the AI ​​proposal procedure is implemented. As described later, this AI proposal procedure is displayed in the "AI Proposal Procedure" column 218. The "Improvement Probability (AI)" column 215 constitutes the prognostic prediction display unit 25.

[0139] In the "Improvement Probability (Plan)" column 216, the probability of improvement for the five evaluation items and the overall evaluation score of the J-CHS benchmark is displayed by the prognostic prediction model generated by machine learning, based on the target information shown in the "Improvement Goals" column 214, when implementing the frailty, MCI, and dementia prevention measures included in the input frailty, MCI, and dementia prevention plan. The "Improvement Probability (Plan)" column 216 constitutes the prognostic prediction display unit 25.

[0140] In the "AI Proposal Procedure" section 218, based on the user status information shown in the "User Status" section 211 and the "Current Status" section 213, and the target information shown in the "Improvement Goals" section 214, the AI ​​proposal procedure proposed by the prognostic prediction model generated by the aforementioned machine learning is displayed. The content of the AI ​​procedure is displayed according to the items shown in the "Items" section 217, corresponding to behaviors related to frailty, MCI, and dementia prevention, such as dietary diversity, protein and vegetable intake, oral function maintenance, leisure activities (moderate intensity), leisure activities (high intensity), and social participation. The "AI Proposal Procedure" section 218 constitutes the proposal procedure display unit 26.

[0141] The "Plan" section 219 allows individuals, health professionals, or other plan creators to input behavioral procedures. For example, plan creators can input the number of items from 10 food groups for dietary diversity using the keyboard or other input unit 20, and input other items in the same way. The "Plan" section 219, together with the keyboard or other input unit 20, constitutes the plan creation unit 24.

[0142] When the AI ​​prognostic prediction button 27 is pressed, in the prognostic prediction unit 35, the user in the state shown in the "User Status" column 211 and the "Current Status" column 213 will have their weakness status improved if the AI ​​proposal procedure is implemented. The improvement probability will be predicted by the prognostic prediction model generated by machine learning in the prognostic prediction model creation unit 34 and displayed in the "Improvement Probability (AI)" column 215.

[0143] When the AI ​​proposal program button 28 is pressed, in the frailty, MCI and dementia prevention program and recommended lifestyle proposal section 36, based on the status shown in the "User Status" column 211 and the "Current Status" column 213, and the improvement goal information shown in the "Improvement Goal" column 214, the AI ​​proposal program is proposed using the prognostic prediction model generated by machine learning in the prognostic prediction model creation section 34, and its content is displayed in the "AI Proposal Program" column 218.

[0144] When the project plan prediction button 29 is pressed, in the prediction unit 35, the user, whose status is shown in the "User Status" column 211 and the "Current Status" column 213, performs the program input in the "Project Plan" column 219 regarding the target information shown in the "Improvement Target" column 215. The improvement probability is calculated and displayed by the prediction model generated by machine learning in the prediction model creation unit 34.

[0145] (User information display screen)

[0146] Figure 3 shows a display example of a user information screen 410 displayed on a user information display unit 41 of a user information display terminal 4. This figure shows a screen of the user information display unit 41 that includes the user basic information display unit 42, the frailty status display unit 43, and the behavior content display unit 44 of this program. The information displayed in the user basic information display unit 42, the frailty status display unit 43, and the behavior content display unit 44 of the user information display unit 41 is either information stored in the user information DB 31 or information obtained after performing statistical processing or other prescribed operations on that information in the statistical processing unit 37. The user information display unit 41 corresponds to the statistical information display unit of this invention. In the user basic information display unit 42, statistical values, such as average values, of the user's basic information (age, gender, BMI, blood pressure, oral weakness, motor function, depression assessment value, dementia assessment value, muscle mass) are displayed. These statistical values ​​correspond to the frailty, MCI, and dementia prevention statistical information of this invention.

[0147] The frailty status display unit 43 displays statistical values ​​of the frailty status corresponding to the J-CHS criteria for the user described in the "Evaluation Criteria Evaluation Items" column 431 (which also applies to frailty screening or frailty health checkups). For example, the statistical values ​​for frailty status include: weight loss (involuntary) of more than 2 kg within 6 months, grip strength below 28 kg for men and 18 kg for women, unexplained fatigue, usual walking speed below 1.0 m / s, whether or not light exercise gymnastics is performed, and whether or not regular exercise or physical activity is performed (those who answer "no" to both are considered to be in the category)]. These statistical values ​​are displayed in the "Percentage of Subjects at the Last Evaluation" column 432, the "Percentage of Subjects at the Latest Evaluation" column 433, and the "Increase / Decrease Ratio" column 434 to the right of each item in the "Evaluation Criteria Evaluation Items" column 431. In addition, the statistical values ​​can be corrected using the user's basic information through statistical processing such as Quantitative Type I. These statistics correspond to the frailty, MCI, and dementia prevention statistics of this invention.

[0148] In the behavior content display unit 44, statistical values ​​of behaviors related to frailty, MCI, and dementia prevention (dietary diversity, protein and vegetable intake, oral function maintenance, mobility activities, moderate-intensity activities during leisure time, high-intensity activities during leisure time, and social participation) shown in the item column 415 are displayed. For example, the average value at the time of the last evaluation, the average value at the time of the most recent evaluation, and the increase / decrease rate of these values ​​can be displayed in the "Average Value at the Time of the Last Evaluation" column 416, the "Average Value at the Time of the Most Recent Evaluation" column 417, and the "Increase / Decrease Rate" column 418 on the right side of each item in the item column 415, respectively. These statistical values ​​correspond to the frailty, MCI, and dementia prevention statistical information of the present invention.

[0149] People using the user information display terminal 4, including local government healthcare workers, health insurance portfolio workers, and insurance company workers, evaluate whether the user's frailty status assessment items have been improved or maintained by implementing frailty, MCI, and dementia prevention programs, and pay consideration based on the evaluation values.

[0150] Regarding the consideration, it can also be determined based on the expected value of local government's nursing insurance cost suppression, the expected value of health insurance portfolio payment suppression, and the expected value of private insurance payment suppression.

[0151] Regarding the expected values ​​of suppression of local government long-term care insurance costs, health insurance portfolio payments, and private insurance payments, a machine learning-based predictive model can be constructed to estimate these values ​​based on the relationship between the statistical values ​​of the user's basic information and frailty status and the local government long-term care insurance costs, health insurance portfolio payments, and private insurance payments.

[0152] (Variation example)

[0153] The following describes a variation of the user screen 210 shown in Figure 2. The Frailty, MCI, and Dementia Prevention Plan Development Support and Recommended Lifestyle Proposal System 1 can support the development of both frailty and MCI prevention plans. When supporting the development of an MCI prevention plan, the MCI assessment criteria (frailty health check criteria) shown in Table 1 can be used as assessment items.

[0154] Table 1

[0155]

[0156] The “MCI (Frailty Diagnosis Criteria)” column 220 shown in Figure 4 corresponds to the “Frailty Status (J-CHS Criteria)” columns 212 to 216 in the user screen 210 shown in Figure 2. The structure of the user screen including the “MCI (Frailty Diagnosis Criteria)” column 220 shown in Figure 4 is the same as that of the user screen 210 shown in Figure 2, except for the “Frailty Status (J-CHS Criteria)” columns 212 to 216. In the user screen showing Figure 4 including the “MCI (Frailty Diagnosis Criteria)” column 220, the meanings and functions of the “User Status” column 211, the “Behavioral Content” column 213, the AI ​​Prognosis Prediction button 27, the AI ​​Proposal Procedure button 28, and the Plan Prognosis Prediction button 29 are the same as in Figure 2, therefore, their descriptions are omitted.

[0157] The “MCI (Weakness Assessment Criteria)” section 220 includes the “Evaluation Criteria Evaluation Items” section 221, the “Current Status” section 222, the “Improvement Goals” section 223, the “Improvement Probability (AI)” section 224, and the “Improvement Probability (Plan)” section 225.

[0158] In the "Assessment Criteria Items" section 221 of the "MCI (Mallucination Criteria)" column 220, three items are displayed as MCI assessment items: "Have people around you mentioned that you have forgetfulness, such as 'always asking the same questions'?", "Do you look up phone numbers and make calls yourself?", and "Do you sometimes forget what day it is?". Additionally, the "Assessment Score" item is displayed at the bottom, showing the total score for each item.

[0159] In the "Current Status" column 221 of the "MCI (Mean Infirmary Criteria for Frailty)" column 220, the current status of the "Evaluation Criteria Evaluation Items" column 222 is displayed. If each item is met, it is displayed as an evaluation score of 1 point; if it is not met, it is displayed as 0 points. When the total evaluation score of the three items is 1 point or more, it is determined to be MCI. This MCI status information is separately input by the user status input unit 23 and stored in the user information DB 31, while the "Current Status" column 222 displays the MCI status information obtained from the user information DB 31.

[0160] In the "Improvement Target" column 223 of the "MCI (Mean Criteria for Frailty)" column 220, the improvement target values ​​for the three evaluation items of the MCI (Mean Criteria for Frailty) and the overall evaluation score are displayed. These improvement target values ​​can be entered, for example, by using the input unit 20 such as a mouse to select whether to input each evaluation item of the evaluation criteria as an improvement target from a drop-down menu. If an improvement target is selected, "O" (selected) is displayed in the "Improvement Target" column 223; if not selected, "—" (not selected) is displayed in the "Improvement Target" column 223. The "Improvement Target" column 223, together with the input unit 20 such as a mouse, constitutes the user target input unit 22.

[0161] In the "Improvement Probability (AI)" column 224 of the "MCI (Weakness Criterion)" column 220, the probability of improvement for the three evaluation items and the overall evaluation score of the MCI (Weakness Criterion) predicted by the prognostic prediction model generated by machine learning is displayed for users in the states shown in the "User Status" column 211 and the "Current Status" column 222, related to the target information shown in the "Improvement Goals" column 223, if the AI ​​proposal procedure is implemented. The "Improvement Probability (AI)" column 224 constitutes the prognostic prediction display unit 25.

[0162] In the "Improvement Probability (Plan)" column 225 of the "MCI (Frailty Criteria)" column 220, the probability of improvement of the three evaluation items and the overall evaluation score of MCI (Frailty Criteria) predicted by the prognostic prediction model generated by machine learning is displayed for users in the states shown in the "User Status" column 211 and the "Current Status" column 222, regarding the target information shown in the "Improvement Goals" column 223, if the frailty, MCI, and dementia prevention included in the input frailty, MCI, and dementia prevention plan is implemented. The "Improvement Probability (Plan)" column 225 constitutes the prognostic prediction display unit 25.

[0163] Symbol Explanation

[0164] 1. A system for developing support and recommending lifestyle proposals for the prevention of frailty, MCI, and dementia.

[0165] 2. Project Planning Terminal

[0166] 3 Supported Servers

[0167] 20 Input Section

[0168] 21 Output Section

[0169] 22 User Target Input Section

[0170] 23 User Status Input Section

[0171] 33 Target Setting Department

[0172] 35 Prognostic Prediction Department

Claims

1. A device for supporting users in developing frailty, MCI, and dementia prevention plans and proposing recommended lifestyles, characterized in that: including: an initial state information acquisition unit for acquiring initial state information about a state of a user in need of frailty, MCI, and cognitive disorder prevention at a predetermined point in time; a target information acquisition unit for acquiring target-related target information that the user intends to achieve by using the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle; a frailty, MCI, and cognitive disorder prevention content information acquisition unit for acquiring frailty, MCI, and cognitive disorder prevention content information about the content of the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle; and, for a user who has used the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle in the past, a prognosis prediction unit that predicts a state of the user after a predetermined period from the predetermined point in time, i.e., a prognosis state, based on the initial state information of the user and the frailty, MCI, and cognitive disorder prevention content information of the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle, and outputs prognosis state information related to the prognosis state, using a prognosis prediction model generated by machine learning based on the basic frailty, MCI, and cognitive disorder prevention content information of the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle used by the user in the past and the basic state information of the state of the user related to the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle, and a frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device configured as described above.

2. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 1, characterized in that it includes a frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit that proposes a frailty, MCI, and cognitive disorder prevention program and recommended lifestyle based on the prognosis state information output by the prognosis prediction unit and the target information when the user uses the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle.

3. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 1, characterized in that it includes a basic information storage unit that stores the basic frailty, MCI, and cognitive disorder prevention content information and the basic state information associated with the user, and a model generation unit that generates the prognosis prediction model.

4. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 3, characterized in that the model generation unit uses a decision tree or gradient boosting tree as a machine learning method.

5. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 1, characterized in that the initial state information, the prognosis state information, and the basic state information include information related to at least any one of J-CHS criteria, frailty screening, and frailty health check of the user and the user who has used the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle in the past. ​ 6. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 1, characterized in that the prognosis prediction unit predicts the prognosis state for the target achieving the frailty, MCI, and cognitive disorder prevention with a higher contribution degree.

7. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes food diversity in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

8. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes protein and vegetable intake in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

9. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes oral function maintenance behavior in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

10. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes activity degree during movement in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

11. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes moderate intensity activity degree in leisure in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

12. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes high intensity activity degree in leisure in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

13. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes social participation evaluation value in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

14. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 6, characterized in that the prognosis prediction unit includes a generally sold medicine or a prescription medicine in the frailty, MCI, and cognitive disorder prevention with a higher contribution degree for the target.

15. The frailty, MCI, and cognitive disorder prevention plan formulation support and recommended lifestyle proposal device according to claim 2, characterized in that ​ ​ ​ ​ ​ ​ ​ ​ ​ The frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit proposes the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle that is most likely to achieve the prognosis state close to the target by an optimization method.

16. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 2, characterized in that, The frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit proposes the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle that improves the prognosis prediction of a specific user by a prognosis prediction explanation method for evaluating the importance of input variables that contribute to the prognosis state of the specific user.

17. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 2, characterized in that, The device includes a second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle formulation unit that formulates a second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle from an operator with reference to the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposed by the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit.

18. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 17, characterized in that, The second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle formulation unit can formulate the second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle by modifying the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposed by the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit.

19. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 17, characterized in that, The prognosis prediction unit predicts the prognosis state corresponding to the frailty, MCI, and cognitive disorder prevention included in the second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle from the frailty, MCI, and cognitive disorder prevention content information corresponding to the frailty, MCI, and cognitive disorder prevention included in the second frailty, MCI, and cognitive disorder prevention program and recommended lifestyle and the initial state information.

20. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 1, characterized in that, The device includes a prognosis prediction display unit that displays the prognosis state information predicted by the prognosis prediction unit.

21. The frailty, MCI, and cognitive disorder prevention program formulation support and recommended lifestyle proposal device according to claim 2, characterized in that, The device includes a proposal plan display unit that displays the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposed by the frailty, MCI, and cognitive disorder prevention program and recommended lifestyle proposal unit.

22. A frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal system, comprising: the frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal device according to any one of claims 1 to 21, and a terminal communicably connected to the frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal device.

23. A frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal system, characterized by comprising: the frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal device according to claim 1, the device being provided with a basic information storage section for storing the basic frailty, MCI and cognitive disorder prevention content information and the basic state information associated with the user of experience; and a user information display terminal, the terminal being communicably connected to the frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal device and being provided with a statistical information display section for displaying the statistical value related to the frailty, MCI and cognitive disorder prevention, i.e., the frailty, MCI and cognitive disorder prevention statistical information.

24. The frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal system according to claim 23, characterized by being provided with a utilization fee calculation section for calculating the utilization fee of the frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal device based on the frailty, MCI and cognitive disorder prevention statistical information.

25. A frailty, MCI and cognitive disorder prevention plan making support and recommended lifestyle proposal method for supporting the making of a frailty, MCI and cognitive disorder prevention plan and the proposal of a recommended lifestyle for a user in need of frailty, MCI and cognitive disorder prevention, the method comprising the steps of: characterized in that a step of acquiring initial state information related to the state of the user in need of frailty, MCI and cognitive disorder prevention at a specific point in time; a step of acquiring goal information related to the goal to be achieved by the user through the use of the frailty, MCI and cognitive disorder prevention plan and recommended lifestyle; a step of acquiring frailty, MCI and cognitive disorder prevention content information related to the content of the frailty, MCI and cognitive disorder prevention plan and recommended lifestyle; a step of acquiring initial state information related to the state of the user in need of frailty, MCI and cognitive disorder prevention at a specific point in time; a step of acquiring goal information related to the goal to be achieved by the user through the use of the frailty, MCI and cognitive disorder prevention plan and recommended lifestyle; a step of acquiring frailty, MCI and cognitive disorder prevention content information related to the content of the frailty, MCI and cognitive disorder prevention plan and recommended lifestyle; and, based on the initial state information of the user and the frailty, MCI and cognitive disorder prevention content information of the frailty, MCI and cognitive disorder prevention program and recommended lifestyle, and using a prognosis prediction model generated by machine learning of basic frailty, MCI and cognitive disorder prevention content information related to the content of the frailty, MCI and cognitive disorder prevention program and recommended lifestyle used by a user who has used the frailty, MCI and cognitive disorder prevention program and recommended lifestyle in the past, and basic state information related to the state of the user who has used the frailty, MCI and cognitive disorder prevention program and recommended lifestyle, the prognosis prediction model predicts the state of the user related to the target at a certain time after a certain time from the certain time point, i.e., the prognosis state.

26. A frailty, MCI and cognitive disorder prevention program development support and recommended lifestyle proposal program that causes a computer to execute the frailty, MCI and cognitive disorder prevention program development support and recommended lifestyle proposal method of claim 25.

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