Recommended amount output system, recommended amount output method and program

Abstract

To provide a technique for improving equol intake of individual users.SOLUTION: A recommended amount output system includes one or more computers that: acquire an index value representing a degree of equol production capacity of a target user and information representing a state of the target user; execute a determination process of determining a recommended amount of equol and / or isoflavone to be ingested by the target user on the basis of equol and / or isoflavone intake of other users whose information representing equol production capacity and state is similar to that of the target user, by using information of the other users stored in advance in a storage device, including an index value representing a degree of equol production capacity of the other users, information representing states of the other users, and information representing equol and / or isoflavone intake of the other users; and output the determined recommended amount.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] The present disclosure relates to a recommended amount output system, a recommended amount output method, and a program. [Background technology]

[0002] Previously, a system has been proposed that suggests a list of foods that will supplement the nutrients a user is lacking (see, for example, Patent Document 1). In this system, a mobile device transmits the amount of excess or deficiency of a nutrient the user has ingested to a product suggestion server. In response to the received information about the nutrient excess or deficiency, the product suggestion server refers to a product database that stores the names of products that supplement various nutrients, and returns information about the products the user should ingest to the mobile device. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-26262 Summary of the Invention [Problem to be solved by the invention]

[0004] The ability to produce equol from isoflavones depends on the intestinal environment and varies greatly from person to person. However, equol and isoflavone supplements generally list a standard intake amount, making it difficult to suggest an appropriate amount for each individual user. The present disclosure aims to provide a technology for improving the equol intake of each individual user. [Means for solving the problem]

[0005] The present disclosure can be realized in the following aspects. (Aspect 1) Obtaining an index value representing the level of the target user's equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users including an index value representing the degree of equol production ability of the other users, information representing the status of the other users, and information representing the equol and / or isoflavone intake of the other users, which information has been stored in advance in a storage device; outputting the determined recommended amount; A recommended output system including one or more computers running (Aspect 2) The index value is a value corresponding to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from ingesting isoflavones through diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. The recommended amount output system according to embodiment 1. (Aspect 3) The information representing the condition is information representing the degree to which the user has answered about symptoms that may appear due to menopausal disorders. 3. The recommended amount output system according to claim 1 or 2. (Aspect 4) The information indicating the state includes at least one of the user's electrocardiogram, heart rate, blood oxygen concentration, an index indicating the quality of sleep, body temperature, amount of sweating, and components of sweat. A recommended amount output system according to any one of aspects 1 to 3. (Aspect 5) The information on the other user includes information representing the state of the other user at multiple points in time and information representing the intake of equol and / or isoflavones by the other user, The determination process uses information of the other user whose information representing the other user's condition at a second time point after the first time point is improved compared to information representing the other user's condition at the first time point, and determines a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of the other user at the first time point whose equol production capacity and information representing the condition at the first time point are similar to those of the target user. A recommended amount output system according to any one of aspects 1 to 4. (Aspect 6) If the target user takes the output recommended amount of equol and / or isoflavone for a predetermined period of time, and the information representing the target user's condition is not determined to have improved based on a predetermined standard, the recommended amount is corrected in the determination process. A recommended amount output system according to any one of aspects 1 to 5. (Aspect 7) acquiring information representing the target user's level of equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users that has been stored in advance in a storage device and includes information representing the other users' level of equol production ability, information representing the other users' condition, and information representing the other users' equol and / or isoflavone intake; outputting the determined recommended amount; The recommended amount of output is 1 or more computers running the method. (Aspect 8) The index value is a value corresponding to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from ingesting isoflavones through diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. A method for outputting a recommended amount according to aspect 7. (Aspect 9) acquiring information representing the target user's level of equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users that has been stored in advance in a storage device and includes information representing the other users' level of equol production ability, information representing the other users' condition, and information representing the other users' equol and / or isoflavone intake; outputting the determined recommended amount; A program for executing on one or more computers. (Aspect 10) The index value is a value corresponding to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from ingesting isoflavones through diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. A program according to embodiment 9.

[0006] The content of the means for solving the problem may be a device such as a computer or multiple devices. The present invention can be provided as a system including the above, a method executed by one or more computers, or a program executed by one or more computers. Note that a recording medium storing the program may also be provided. [Effects of the Invention]

[0007] The disclosed technology can provide a technique for improving an individual user's equol intake. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of a system according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating the relationship between isoflavone intake and equol production. [Figure 3] FIG. 3 is a process flow diagram illustrating the learning process according to the embodiment. [Figure 4] FIG. 4 is a process flow diagram for explaining the details of data collection and preprocessing. [Figure 5] FIG. 5 is a diagram illustrating an example of data stored in a storage device. [Figure 6] FIG. 6 is a process flow diagram illustrating an example of the recommended amount output process. [Figure 7] FIG. 7 is a diagram showing an example of data stored in a storage device in the first modified example. [Figure 8] FIG. 8 is a diagram showing an example of data stored in a storage device in the second modified example. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment will be described with reference to the drawings.

[0010] <Embodiment 1> FIG. 1 is a diagram illustrating an example of a system according to this embodiment. The system 100 includes a server 1 and terminals 2 (2A, 2B, and 2C). The server 1 learns information about the user's equol production capacity, information about the user's condition, such as subjective symptoms related to menopausal disorders, and the relationship between the intake amounts of at least one of isoflavones and equol, and performs a process of recommending ingredients to the user (i.e., at least one of isoflavones and equol) based on the learning results. Note that the learning process and the recommendation process may be performed by different devices. The terminal 2 is, for example, a computer owned by the user who is to receive recommendations about ingredients to be ingested. The server 1 collects information about the user's condition, such as the amount of equol in the user's excrement (hereinafter referred to as "equol excretion"), via the terminal 2, and outputs recommended amounts of ingredients to be ingested to the terminal 2. Note that the terminal 2 may also include a computer, such as a testing institution's computer, that measures the user's equol excretion. The server 1 and terminal 2 are communicatively connected via a network 3. The network 3 may include, for example, an IP (Internet Protocol) network, and the devices connected to the network 3 may be connected to the server 1. The devices can communicate based on a predetermined communication protocol. Part of the network 3 may be a telephone network (fixed telephone network or mobile communication network), an ad hoc network, an intranet, a VPN (Virtual Private Network), a LAN (Local Area Network), a Wireless LAN, a WAN (Wide Area Network), or the Internet.

[0011] In the present disclosure, isoflavones include flavonoids with a basic structure of isoflavone (3-phenylchromone), which are converted to equol in the intestines of individuals with equol-producing ability. Examples of such flavonoids include daidzein. Daidzein is converted to equol in the intestines of individuals with equol-producing ability. In addition, isoflavones in the present disclosure include genistein, guanylate, and hydroxybenzoates. It may further contain rishiteine, etc. Furthermore, examples of isoflavones in the present disclosure include soy isoflavones, kudzu isoflavones, etc.

[0012] The server 1 is a computer and includes a processor 11, a storage device 12, and a communication interface (IF) 13. The processor 11 is a CPU (Central Processing Unit ), which executes programs to perform various processes according to this embodiment. The storage device 12 is a main storage device such as a RAM (Random Access Memory) or a ROM (Read Only Memory), and an auxiliary storage device (secondary storage device) such as an HDD (Hard-disk Drive), an SSD (Solid State Drive), or a flash memory. The main storage device temporarily stores programs read by the processor 11 and secures a working area for the processor 11. The auxiliary storage device stores programs to be executed by the processor 11 and other data. The communication IF 13 is a network module for communicating via the network 3, and transmits and receives data based on a predetermined protocol.

[0013] Device 2 is a tablet, smartphone, PC (Personal Computer), or wearable device. The terminal 2 is a computer such as a terminal, and includes a processor, a storage device, a communication IF, and an input / output interface (IF) for inputting and outputting information to and from a user.

[0014] In this embodiment, the equol production capacity of each user is measured, and the components and recommended amounts to be ingested are determined based on this production capacity. Specifically, each user refrains from dietary isoflavone intake for a predetermined period of time and then measures equol excretion after ingesting a predetermined amount of isoflavone-containing supplements. Dietary isoflavone intake includes consuming isoflavone-containing foods as part of a meal. Supplements are products containing specific ingredients, including those processed into dosage forms such as tablets, capsules, granules, and powders, as well as health foods with specified ingredient contents and other health foods. Equol is produced from isoflavones by intestinal bacteria (equol-producing bacteria). In other words, equol production capacity varies depending on an individual's intestinal environment. Furthermore, the level of equol production capacity can be determined based on equol excretion, which can be measured by at least one of urine and stool tests, and equol blood concentration, which can be measured by a blood test. Equol production capacity may also be estimated by sweat testing (testing sweat volume, sweat components, or a combination thereof) or changes in heart rate. Figure 2 illustrates the relationship between isoflavone intake and equol production. In the graph of Figure 2, the horizontal axis represents isoflavone intake, and the vertical axis represents equol production. The graph in Figure 2 plots a schematic example of equol production when a predetermined amount of isoflavone-containing supplement is taken. The higher the user's equol production capacity, the greater the equol production, and the lower the user's production capacity, the smaller the equol production. Furthermore, equol production increases in proportion to the amount of isoflavone intake. It is understood that equol production is reflected in the amount of equol excreted in the user's urine or feces. By measuring equol excretion in advance, the level of each user's equol production capacity can be determined. Generally, after consuming foods containing isoflavones, equol appears in the blood approximately 8 hours later, reaches its maximum concentration in 12 to 24 hours, and is excreted from the body in approximately 72 hours.Therefore, it is preferable that blood tests, urine tests, and stool tests be performed within a predetermined time period after the user has taken the supplement, etc. In other words, the period for measuring the blood concentration and excretion amount of equol can be appropriately determined based on, for example, the timing when the blood concentration is expected to be at its maximum.

[0015] In addition, in this embodiment, information on the condition of the user, such as the degree of symptoms that may appear due to menopausal disorders, and information on the components (i.e., at least some of isoflavones and equol) that the user is taking in through at least one of foods and supplements are collected from a plurality of users. Information about the user's condition and the amount of intake is collected, and recommendations are made based on the ingredients and intake amounts of users with similar symptoms. The aforementioned ingredients can generally be ingested through at least one of isoflavone-containing foods, isoflavone-containing supplements, and equol-containing supplements. Information about the user's condition includes, for example, information expressing the severity of at least one of the symptoms that may be caused by menopausal disorders, such as stiff shoulders, fatigue, headaches, hot flashes, lower back pain, sweating, insomnia, irritability, skin itching, palpitations, depression, dizziness, stomach upset, and vaginal dryness, expressed as a graded scale. Information about the user's condition, the ingredients being ingested, and their intake amounts may be collected from the user, for example, as responses to a questionnaire. The recommendation process also involves, for example, user-based collaborative filtering. That is, the ingredients and intake amounts of users with similar symptom trends to the target user are identified, and the ingredients and recommended amounts to be recommended to the target user are determined based on the identified ingredients and intake amounts. The recommendation processing method is not particularly limited, and may involve modeling the relationship between symptom trends and ingested ingredients and intake amounts in advance and performing model-based collaborative filtering, or using symptom trends as explanatory variables and ingested ingredients and intake amounts as objective variables to model the relationship between the two using deep learning, and performing recommendation processing based on a model that determines the recommended amount based on the target user's symptoms. If the equol production ability of the user responding to the questionnaire is known, the intake of isoflavone-containing foods or isoflavone-containing supplements may be converted to equol production amount, and the objective variable may be unified to equol intake. Alternatively, rules based on the relationship between symptom trends and intake amounts may be created in advance, and rule-based recommendation processing may be performed.

[0016] Furthermore, it is preferable to perform recommendation processing based on the intake of isoflavones, etc., of users with similar equol production capabilities. That is, equol production capabilities vary from person to person, and the preferred intake of isoflavones, etc., varies depending on production capabilities. Therefore, in this embodiment, recommendation processing is performed for each user with similar equol production capabilities based on the similarity of symptoms.

[0017] <Learning process> Fig. 3 is a process flow diagram illustrating the learning process according to the embodiment. In the learning process, the server 1 collects an index value representing the equol production capacity of each user and information related to the user's condition, and performs preprocessing (Fig. 3: S1). Fig. 4 is a process flow diagram illustrating the details of data collection and preprocessing. The processor 11 of the server 1 acquires one piece of unprocessed data (Fig. 4: S11).

[0018] FIG. 5 is a diagram showing an example of data stored in the storage device 12. Note that the table shown in this embodiment is an example of a database, and information may be properly normalized and stored in multiple tables, or denormalized and stored collectively in a single table. The table in FIG. 5 includes the attributes "User ID," "Production Capacity," "Condition," and "Intake." The "User ID" field contains identification information for uniquely identifying the user. The "Production Capacity" field contains an index value representing the user's level of equol production capacity. The index value may be a value corresponding to the equol excretion amount measured in advance by the user, or the measurement value itself. The index value may also be calculated, for example, as the ratio of equol excretion (mg) to isoflavone intake (mg). The "Condition" field contains attributes representing symptoms such as "stiff shoulders," "easily fatigued," "lower back pain," "sweating," and "insomnia." Each "Condition" field contains a value entered by the user on a five-point scale, ranging from "1" indicating poor condition to "5" indicating good condition. The "Intake" field will register the amount of isoflavones the user ingests on a daily basis, or the converted value of the amount of equol produced from isoflavones. For example, if a user answers the questionnaire that they consume one pack of natto and one cup (200g) of soy milk per day, the value converted to the daily isoflavone intake will be registered in the "Intake" field based on a predetermined conversion formula between food and isoflavone. 4, the processor 11 acquires data corresponding to one record shown in FIG.

[0019] After S11, processor 11 determines whether the user indicated by the acquired data has the ability to produce equol (FIG. 4: S12). In this step, it is determined whether the index value of the production ability in the acquired data is equal to or greater than a predetermined threshold. Note that a predetermined value close to 0, for example, is stored as the threshold for determining whether or not the production ability is present. If the index value of the production ability is less than the threshold, it is determined that the production ability is absent (S11: NO), and processor 11 classifies the data as first learning data (also referred to as learning data 1) (FIG. 4: S13). For example, user 1 in FIG. 5 has a production ability of 0, and the record is classified as learning data 1.

[0020] On the other hand, if the productivity index value is equal to or greater than the threshold, it is determined that the user has productivity (S11: YES), and the processor 11 determines whether the user's productivity is equal to or greater than a predetermined standard (FIG. 4: S14). It is assumed that a second threshold value greater than the threshold value of S12 is set in advance as the predetermined standard. For example, the predetermined standard is set in advance to 0.2. If the productivity index value does not meet the predetermined standard (S14: NO), the processor 11 classifies the data into second learning data (also referred to as learning data 2) (FIG. 4: S15). User 2 in FIG. 5 has a productivity of 0.1, which is lower than the standard, and the record is classified into learning data 2.

[0021] On the other hand, if the productivity index value is equal to or greater than the predetermined standard (S14: YES), processor 11 classifies the data into third learning data (also referred to as learning data 3) (FIG. 4: S16). User 3 in FIG. 5 has a productivity of 0.3, which is above the standard, and the record is classified into learning data 3.

[0022] Then, after S13, S15, or S16, the processor 11 determines whether to end the pre-processing (S17 in FIG. 4). For example, if all the records shown in FIG. 5 have been processed, the processor 11 determines to end the processing (YES in S17) and returns to the processing in FIG. 3. On the other hand, if there are unprocessed records, the processor 11 determines not to end the processing (NO in S17), returns to S11, and repeats the processing in FIG. 4.

[0023] By performing the preprocessing described above, the training data can be classified into groups of users with similar productivity. Note that the number of groups for classification is not limited to three.

[0024] After S1 in Figure 3, the processor 11 constructs a model for each classified data (S2 in Figure 3). In this step, a model is created when performing model-based collaborative filtering or recommendation processing using deep learning. Note that, for example, when performing user-based collaborative filtering, S2 may be omitted.

[0025] <Recommended output processing> 6 is a process flow diagram showing an example of the recommended amount output process. The recommended amount output process is started, for example, periodically or when a request is received from the terminal 2 by a user operation.

[0026] The processor 11 of the server 1 acquires the productivity index value and information about the user's condition (e.g., information about symptoms) for the user for whom the recommended amount is to be proposed (FIG. 6: S21). This information may be received from the terminal 2, for example, as a response to a questionnaire for the user.

[0027] After S21, the processor 11 determines whether the target user has a productivity equal to or greater than a predetermined standard value (FIG. 6: S22). This step performs the same determination as S12 in FIG. 4. That is, processor 11 determines whether the index value stored in association with the target user's identification information is equal to or greater than a predetermined threshold. If the index value is less than the threshold, it is determined that the user has no equol-producing ability (S22: NO), and information recommending an equol-containing supplement equivalent to a predetermined target amount is transmitted to user terminal 2 (FIG. 6: S23). For users whose equol-producing ability is lower than the standard, the process of S23 is repeated in the recommended amount output process.

[0028] On the other hand, if the index value is equal to or greater than the threshold, it is determined that the target user has equol production ability (S22: YES), and processor 11 determines the recommended amount for the target user based on the intake amounts of other users with similar information regarding the user's condition (FIG. 6: S24). In this step, the components and recommended amounts to be ingested by the target user are determined using, for example, the model created in S2 of FIG. 3. That is, the recommended amounts of components to be ingested by the target user are determined based on the components and intake amounts ingested by other users with similar information regarding equol production ability and condition to the target user. Note that when performing user-based collaborative filtering, instead of using a trained model, other users with similar information regarding equol production ability and condition to the target user are extracted from a table such as that shown in FIG. 5, and the components to be ingested and the recommended amounts are determined based on the components and intake amounts ingested by the extracted users. Note that when multiple users are extracted, the recommended amounts may be determined based on statistics such as the average intake amounts of the extracted users.

[0029] After S24, processor 11 recommends at least one of isoflavone-containing foods, isoflavone-containing supplements, and equol-containing supplements to the user (FIG. 6: S25). Recommended intake patterns include at least one of (1) equol-containing supplements only, (2) isoflavone-containing supplements only, (3) isoflavone-containing foods only, (4) equol-containing supplements and isoflavone-containing supplements, (5) equol-containing supplements and isoflavone-containing foods, (6) isoflavone-containing supplements and isoflavone-containing foods, and (7) equol-containing supplements, isoflavone-containing supplements, and isoflavone-containing foods. Processor 11 transmits information suggesting the ingredients to be ingested and the recommended amounts determined in S24 to user terminal 2 via network IF 13 and network 3.

[0030] <Effects> According to the above embodiment, it is possible to suggest an intake amount for each individual user based on the similarity of their productivity and condition with other users, thereby enabling the individual user to improve their equol intake.

[0031] <Variation 1> Next, a first modification will be described, focusing on the differences from the above-described embodiment. In this modification, a user carries a wearable device, terminal 2, such as a smartwatch or activity tracker, and data obtained from the wearable device is used as information representing the user's condition. The wearable device is equipped with a biosensor and outputs vital data including at least one of the user's electrocardiogram, heart rate, blood oxygen concentration, information on sleep quality, body temperature (skin temperature), sweat rate, sweat components, etc. Preferably, the vital data is data that reflects the effects of menopausal symptoms, which can be expected to improve with equol. It is also desirable to standardize the conditions under which the user measures the vital data as much as possible, such as after a predetermined period of rest.

[0032] The vital data may be the data obtained directly from the wearable device, or may be input by the user as a five-point scale indicating the state of physical condition. FIG. 7 is a diagram showing an example of data stored in the storage device 12 in this modified example. The table in FIG. 7 shows "conditions" as "electrocardiogram," "heart rate," ..., "sleep," etc. The attributes include "quality," "body temperature," and "amount of sweat." In addition, each "condition" field is registered with a value entered by the user using a five-point scale, from "1" indicating poor condition to "5" indicating good condition, or a value automatically converted from vital data. Note that vital data itself may also be registered in each "condition" field.

[0033] Furthermore, by using vital data according to the modified example instead of or in addition to the information on the severity of symptoms collected by questionnaires or the like in the above-described embodiment, the components and recommended amounts to be ingested by the target user are determined based on the components and intake amounts ingested by other users whose information on equol production capacity and condition is similar to that of the target user. Even in this way, it is possible to suggest components and intake amounts to be ingested for each individual user based on the similarity of production capacity and condition with other users. Furthermore, using the vital data itself can reduce the hassle of users having to answer questionnaires.

[0034] <Variation 2> Next, a second modified example will be described, focusing on the differences from the above-described embodiment. In this modified example, the conditions and intake amounts of other users at multiple points in time are stored in the storage device 12, and recommendation processing is performed for other users whose conditions have improved based on the ingredients and intake amounts they were taking before the improvement.

[0035] FIG. 8 is a diagram showing an example of data stored in the storage device 12 in this modified example. User 4's condition on May 25th is generally higher than that on March 20th. On the other hand, User 5's condition on April 10th is not improved overall compared to that on August 12th. Whether the condition has improved can be determined based on any predetermined criteria. The processor 11 of the server 1 can determine whether the condition has improved based on, for example, the average increase or decrease in the condition for each condition, or can further set conditions such as whether the value has not decreased by more than a predetermined standard. In this modified example, a recommendation process is performed for a user whose condition has improved, such as User 4, based on the ingredients and intake amounts that the user was consuming before the condition improved.

[0036] That is, in the process of Fig. 4, not only the magnitude of productivity but also the data of users whose condition is judged to have improved is classified into learning data. Also, in the process of Fig. 6, the components to be ingested by the target user and the recommended amounts are determined based on the components and intake amounts ingested by other users whose condition is judged to have improved before the improvement.

[0037] According to this modification, it is possible to suggest an intake amount based on the similarity of productivity and condition with users who have a track record of improving their condition. Therefore, it is possible to suggest ingredients and recommended amounts that are more likely to improve. Note that the first and second modifications may be combined to suggest an intake amount based on the similarity of productivity and condition with users whose vital data evaluation has improved.

[0038] <Variation 3> If the condition of the target user does not improve even after ingesting the recommended amount of the component for a predetermined period of time, the recommended amount proposed in S25 of Fig. 6 may be changed by modifying the model created in S2 of Fig. 3 or adjusting a coefficient for correcting the determined recommended amount. For example, if a correction coefficient is used, the determined recommended amount is further multiplied by the coefficient in S25 of Fig. 6 to calculate the recommended amount to be output. Furthermore, for example, after increasing or decreasing the recommended amount, the recommended amount may be repeatedly changed depending on whether the condition has improved after a predetermined period of time.

[0039] <Other> The configurations and combinations thereof in each embodiment are merely examples, and additions, omissions, substitutions, and other modifications of the configurations are possible as appropriate without departing from the spirit of the present disclosure. The present disclosure is not limited by the embodiments, but is limited only by the scope of the claims. Furthermore, each aspect disclosed in this specification can be combined with any other feature disclosed in this specification.

[0040] At least some of the functions of the server 1 may be distributed among a plurality of devices, or the same function may be provided in parallel by a plurality of devices.

[0041] The present disclosure also includes a method and a computer program for executing the above-described process, and a computer-readable recording medium having the program recorded thereon. The recording medium having the program recorded thereon enables the above-described process by causing a computer to execute the program.

[0042] Here, a computer-readable recording medium refers to a recording medium that stores information such as data and programs electrically, magnetically, optically, mechanically, or chemically and can be read by a computer. Among such recording media, those that can be removed from a computer include flexible disks, magneto-optical disks, optical disks, magnetic tapes, memory cards, etc. Furthermore, recording media that are fixed to a computer include HDDs, SSDs (Solid State Drives), ROMs, etc. [Explanation of symbols]

[0043] 100: System 1: Server, 11: Processor, 12: Storage device, 13: Communication interface 2: Terminal 3: Network

Claims

1. Obtaining an index value representing the level of the target user's equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users including an index value representing the degree of equol production ability of the other users, information representing the state of the other users, and information representing the amount of equol and / or isoflavones intake of the other users, which information has been stored in advance in a storage device; outputting the determined recommended amount; A recommended amount output system including one or more computers that execute the above.

2. The index value corresponds to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from consuming isoflavones through their diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. The recommended amount output system according to claim 1 .

3. The information representing the condition is information representing the degree to which the user has answered about symptoms that may appear due to menopausal disorders. The recommended amount output system according to claim 1 or 2.

4. The information indicating the state includes at least one of the user's electrocardiogram, heart rate, blood oxygen concentration, an index indicating the quality of sleep, body temperature, amount of sweating, and components of sweat. The recommended amount output system according to claim 1 or 2.

5. The information on the other user includes information representing the state of the other user at multiple points in time and information representing the intake of equol and / or isoflavones by the other user, The determination process uses information of the other user whose information representing the other user's condition at a second time point after the first time point is improved compared to information representing the other user's condition at the first time point, and determines a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake amount of the other user at the first time point whose equol production ability and information representing the condition at the first time point are similar to those of the target user. The recommended amount output system according to claim 1 or 2.

6. If the target user takes the output recommended amount of equol and / or isoflavone for a predetermined period of time, and the information representing the target user's condition is not determined to have improved based on a predetermined standard, the recommended amount is corrected in the determination process. The recommended amount output system according to claim 1 or 2.

7. Obtaining an index value representing the level of the target user's equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users that has been stored in advance in a storage device and includes information representing the other users' level of equol production ability, information representing the other users' condition, and information representing the other users' equol and / or isoflavone intake; outputting the determined recommended amount; The recommended output method is to run one or more computers.

8. The index value is a value corresponding to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from ingesting isoflavones through diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. The method for outputting a recommended amount according to claim 7.

9. Obtaining an index value representing the level of the target user's equol production ability and information representing the target user's condition; a determination process for determining a recommended amount of equol and / or isoflavones to be ingested by the target user based on the equol and / or isoflavone intake of other users whose information representing equol production ability and condition is similar to that of the target user, using information of other users that has been stored in advance in a storage device and includes information representing the other users' level of equol production ability, information representing the other users' condition, and information representing the other users' equol and / or isoflavone intake; outputting the determined recommended amount; A program for causing one or more computers to execute the above.

10. The index value is a value corresponding to the amount of equol excreted or blood concentration after a predetermined time has elapsed since the user refrained from ingesting isoflavones through diet for a predetermined period of time or longer and took a predetermined amount of an isoflavone-containing supplement. The program according to claim 9.

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