Prediction device, prediction method, and prediction program

Abstract

A prediction device (10) according to the present application is characterized by comprising: an acquisition unit (42) for acquiring user information on the physical characteristics of a user; and a prediction unit (44) for predicting when the user will have her first menstrual period on the basis of the user information.

Description

Technical Field

[0001] The present invention relates to a prediction device, a prediction method, and a prediction program.

Background Art

[0002] Conventionally, a technique for improving the quality of life (QOL) of users by providing information on absorbent articles is known. As an example of such a technique, a technique for delivering physical advice to a user based on the user's menstrual history is known.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Non-Patent Documents

[0004]

Non-Patent Document 1

Non-Patent Document 2

Non-Patent Document 3

Non-Patent Document 4

Non-Patent Document 5

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, in the above-described prior art, there is room for improving the quality of life of users.

[0006] For example, in the prior art, it only provides physical advice based on the menstrual history of the user. Therefore, it is impossible to provide advice in advance, such as the preparation of absorbent articles, before the user experiences menarche.

[0007] This application has been made in view of the above, and aims to improve the quality of life of users.

Means for Solving the Problems

[0008] The prediction device according to the present application is characterized by having an acquisition unit that acquires user information indicating the physical characteristics of the user, and a prediction unit that predicts the timing of the occurrence of menarche of the user based on the user information.

Effects of the Invention

[0009] According to one aspect of the embodiment, it is possible to improve the quality of life of users before menarche.

Brief Description of the Drawings

[0010]

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[0011] At least the following matters become clear from the description of this specification and the accompanying drawings.

[0012] A prediction apparatus comprising: an acquisition unit that acquires user information indicating a physical characteristic of a user; and a prediction unit that predicts the timing of the onset of menarche of the user based on the user information.

[0013] Such a prediction apparatus predicts the timing of the onset of menarche of the user based on the physical characteristics of the user. As a result of such processing, the prediction apparatus can reduce the psychological burden when menarche occurs by prompting the user to prepare various absorbent articles before the onset of menarche or by notifying the user that menarche has occurred, and can improve the quality of life of the user.

[0014] In addition, the prediction device acquires information indicating the user's body type as user information. For example, the prediction device acquires information indicating the user's height and weight. Then, based on the changes in height and weight, the prediction device predicts the timing of the onset of menarche. For example, based on the user information, the prediction device identifies changes in the user's physical characteristics and predicts the timing of the onset of the user's menarche based on the timing when the identified changes meet a predetermined condition.

[0015] For example, the prediction device identifies the timing when the amount of change in the user's physical characteristics is maximized, and sets the timing when a predetermined period has elapsed from the identified timing as the timing of the onset of the user's menarche. For example, the prediction device acquires user information indicating the user's height, and sets the timing when a predetermined period has elapsed from the timing when the amount of change in the user's height is maximized as the timing of the onset of the user's menarche.

[0016] Also, for example, the prediction device acquires user information indicating the user's weight, and sets the time when a predetermined period has elapsed since the time when the change amount of the user's weight is maximum as the time when the user's first menstruation occurs. Further, the prediction device may acquire information indicating the user's height and weight as user information, and predict the time when the user's first menstruation occurs based on a predetermined index calculated from the user's height and weight. For example, the prediction device may set the time when a predetermined period has elapsed since the time when the weight of the user's bones estimated from the user's height and weight satisfies a predetermined condition after the change amount of the user's height becomes maximum and the change amount of the user's weight becomes maximum as the time when the user's first menstruation occurs. Further, the prediction device may estimate characteristics related to the user's growth based on the height and weight, and set the time when a period corresponding to the characteristics related to the user's growth has elapsed since the time when the change amount of the user's height is maximum as the time when the user's first menstruation occurs. Further, the prediction device may further acquire information related to the user's psychological changes as user information, and predict the time when the user's first menstruation occurs based on the information related to the user's psychological changes. Further, the prediction device may acquire information related to the user's positive psychological changes among the information related to the user's psychological changes, and predict the time when the user's first menstruation occurs based on the information related to the user's positive psychological changes. Further, the prediction device may acquire information related to the user's negative psychological changes among the information related to the user's psychological changes, and predict the time when the user's first menstruation occurs based on the information related to the user's negative psychological changes.

[0017] As a result of each of the above-described processes, the prediction device can appropriately predict the time when the user's first menstruation occurs. The reason why it is possible to predict the time when the user's first menstruation occurs based on the user's body shape such as height and weight will become clear in the explanation described later.

[0018] Here, the changes in the user's physical characteristics may vary depending on seasons and the like. Therefore, if the user's physical characteristics are identified within a short period and the identified characteristics are used, noise may occur in the amount of change, and there is a risk that the onset of menstruation cannot be predicted appropriately. Thus, the prediction device acquires user information indicating the user's physical characteristics measured at the same time of each year. As a result of such processing, the prediction device can appropriately predict the onset of menstruation of the user.

[0019] In addition, the prediction device acquires information regarding the user's secretions such as vaginal discharge. As a result of such processing, the prediction device can appropriately predict the onset of menstruation of the user.

[0020] Further, the prediction device acquires the user information of the target user to be predicted for the onset of menstruation, and uses a model that has learned the relationship between the user information of the user and the onset time of the user's menstruation to predict the onset time of the target user's menstruation from the user information of the target user. As a result of such processing, the prediction device can appropriately predict the onset of menstruation of the target user.

[0021] Moreover, the prediction device has a providing unit that provides information according to the prediction result. Then, the prediction device provides information regarding absorbent articles according to the prediction result. Also, the prediction device may distribute contents corresponding to the user's physical characteristics according to the prediction result. For example, when the prediction result indicates that menstruation has started, the prediction device may provide contents for managing menstruation and physiology. Also, when the prediction result indicates that menstruation has not started, the prediction device may provide contents for predicting the time when menstruation will occur. As a result, the prediction device can prompt the user for the onset of menstruation and the preparation of absorbent articles, and reduce the user's psychological burden.

[0022] In addition, the prediction device has an estimation unit that estimates the aspects of the secondary sexual characteristics of the user based on the user information, and provides information regarding the estimated aspects of the secondary sexual characteristics. Further, the prediction device may provide information regarding the absorbent article according to the aspects of the secondary sexual characteristics. Therefore, as a result of the prediction device providing the user with information indicating various changes related to secondary sexual characteristics such as menarche and hair growth, the psychological burden on the user can be reduced.

[0023] In addition, the prediction device predicts the time when the user's menarche occurs based on the aspects of the secondary sexual characteristics estimated by the estimation unit. As a result of such processing, the prediction device can further improve the prediction accuracy of the menarche time.

[0024] In addition, the prediction device has an estimation unit that estimates the cognitive ability of the user based on the user information. Then, the prediction device predicts the time when the user's menarche occurs based on the estimated cognitive ability. As a result of such processing, the prediction device can further improve the prediction accuracy of the menarche time.

[0025] In addition, the prediction device provides information regarding the absorbent article according to the cognitive ability. For example, the prediction device provides information regarding the method of using the absorbent article according to the cognitive ability. In a more specific example, when the cognitive ability is equal to or higher than a predetermined threshold, the prediction device may provide information regarding the method of using the absorbent article with an information amount of the method of using the absorbent article less than the predetermined threshold. Further, when the cognitive ability is less than the predetermined threshold, the prediction device may provide information regarding the method of using the absorbent article with an information amount of the method of using the absorbent article equal to or higher than the predetermined threshold. In this way, since the prediction device provides information regarding the absorbent article according to the cognitive ability, it can provide the user with appropriate information regarding the absorbent article.

[0026] An example of a form (hereinafter referred to as an "embodiment") for implementing a prediction device, a prediction method, and a prediction program will be described in detail with reference to the drawings. Note that the prediction device, the prediction method, and the prediction program are not limited by this embodiment. Also, in the following embodiments, the same parts are denoted by the same reference numerals, and duplicate explanations are omitted.

[0027] 〔Embodiment〕 〔1. Example of a provision system〕 First, an example of a provision system according to the embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing an example of a provision system according to the embodiment. As shown in FIG. 1, the provision system includes an information providing device 10 which is an example of a prediction device, and a terminal device 100 used by a user U. Note that the provision system may include any number of information providing devices 10 and terminal devices 100. Also, the information providing device 10 may execute the processes described later with any number of terminal devices 100.

[0028] The information providing device 10 is an information processing device that performs prediction processing, and is realized by, for example, a server device or a cloud system. For example, the information providing device 10 communicates with the terminal device 100 via a network N (see, for example, FIG. 6), such as various mobile communication systems including LTE (Long Term Evolution), 4G (Generation) including LTE-Advanced, 5G which will be standardized in the future, and various wireless communication networks or various wired communication networks such as Wifi (registered trademark) or wireless LAN (Local Area Network).

[0029] The terminal device 100 is a terminal device used by the user U, which is realized by a smart device such as a PC (Personal Computer), a server device, a smart television, a smartphone, or a tablet, and can communicate with the information providing device 10 via the network N. Further, the terminal device 100 may have a screen such as a liquid crystal display, which has a function of a touch panel, and may have a function of receiving various operations on the content distributed from the information providing device 10, such as a tap operation, a slide operation, and a scroll operation, by a finger or a stylus from the user.

[0030] [[1-1. Regarding secondary sexual characteristics]] Here, when the user U is a female, although there are individual differences, physical changes due to secondary sexual characteristics, such as breast development and the growth of pubic hair, occur approximately during the period from 6 to 17 years old. Regarding such physical changes, various physical development stages are classified by Tanner (see, for example, Non-Patent Document 1).

[0031] Here, when the user U reaches secondary sexual characteristics, with the physical development, the secretion of vaginal discharge and menstrual blood will occur. When such vaginal discharge and menstrual blood are secreted, the user will deal with the secretions by using absorbent articles for women.

[0032] Note that absorbent articles for women are various sanitary products related to women's physiology. Specific examples include panty liners for vaginal discharge, sanitary napkins and tampons for menstrual blood, etc., but the embodiments are not limited thereto. For example, the absorbent article may be an absorbent article such as a urine leakage pad, may be of a type worn on various undergarments, or may be of an undergarment type or a sheet type. Further, the absorbent article may be an absorbent article such as a diaper. In the following examples, as an example of the absorbent article, an example where the absorbent article is a sanitary napkin for absorbing menstrual blood is given, but here, the absorbent article may be a consumable material including the absorbent article.

[0033] Here, until the user U experiences menarche, the user has little knowledge about absorbent articles. In particular, when the user U is in puberty, it is considered that the user has little awareness of obtaining information about absorbent articles. However, when something is secreted for the first time or when menarche occurs, if the user has not prepared absorbent articles, there is a risk of leakage of the secretion. Thus, when leakage of the secretion occurs, the secretion adheres to underwear, clothing, bedding such as sheets, etc., and processes such as washing or hand-washing tend to become a stress for the user. Also, when something is secreted for the first time or when menarche occurs, since it is the user U's first experience, the psychological burden tends to increase.

[0034] To reduce such a psychological burden on the user U, it is considered effective to provide advice such as preparation of absorbent articles in advance before the user experiences menarche. Also, by providing such advice, it is considered possible to give motivation to use a service that provides information about absorbent articles before menarche.

[0035] [[1-2. Outline of Prediction Processing]] Therefore, the information providing apparatus 10 executes the following prediction processing. First, the information providing apparatus 10 acquires user information indicating the physical characteristics of the user. For example, the information providing apparatus 10 acquires information indicating the body type of the user. Then, based on the acquired information, the information providing apparatus 10 predicts the timing when the user's menarche occurs. More specifically, the information providing apparatus 10 specifies a change in physical characteristics, and predicts the timing when the user's menarche occurs based on the timing when the specified change satisfies a predetermined condition.

[0036] Here, the prediction principle of the timing when menarche occurs (hereinafter, may be described as the "menarche timing") will be explained. For example, as such a prediction method for the menarche timing, a correspondence that sets the average age at which menarche occurs as the menarche timing is also conceivable. However, it is known that there are variations in such menarche timing depending on the growth pattern of the user.

[0037] For example, FIG. 2 is a graph showing an example of the physical differences at the time of menarche. In FIG. 2, with the horizontal axis representing age and the vertical axis representing BMI (Body Mass Index), graphs showing the BMI at each age for each group with a different age at which menarche occurred are shown (cited from Non-Patent Document 2). As shown in FIG. 2, the BMI of the user group (early-onset group) that reached menarche at a relatively early stage around 11 years old is higher than the BMI of the user group (intermediate group) that reached menarche at an average stage around 12 years old, and the BMI of the user group (late-onset group) that reached menarche at a relatively late stage around 13 years old tends to be lower than the BMI of the intermediate group. Thus, it can be understood that there is a deviation in the timing of reaching menarche depending on the physical characteristics of the user.

[0038] Also, it is known that the timing of menarche of the user changes not only depending on the user's BMI but also depending on the growth pattern of the user (for example, see Non-Patent Document 3). FIG. 3 is a graph showing an example of the period from the maximum growth age to the age of menarche. In the example shown in FIG. 3, with the horizontal axis representing relative age and the vertical axis representing the growth rate of height, growth curves showing the growth rate of height at each average age for each of the early-onset group, intermediate group, and late-onset group are shown (cited from Non-Patent Document 3). In FIG. 3, for the growth curve of each group, the age at which the growth rate is maximum (extreme maximum) is set at the position indicated by a dotted line as the maximum growth age, and the average age of menarche of each group is shown by a line in the same manner as the growth curve.

[0039] As shown in FIG. 3, in the early-onset group where the BMI is higher than the intermediate group, menarche occurs when 0.95 years have passed since the maximum growth age, in the intermediate group, menarche occurs at 1.48 years from the maximum growth age, and in the late-onset group where the BMI is lower than the intermediate group, menarche is likely to occur at 1.98 years from the maximum growth age. Thus, it can be understood that menarche is likely to occur when a predetermined period (a period corresponding to the physical characteristics of the user) has passed since the maximum growth age at which the growth rate of the user's height is maximum.

[0040] In this way, the user's physical characteristics have a significant relationship with the timing when the user experiences menarche. Therefore, the information providing device 10 predicts the timing of the user's menarche based on the user's physical characteristics. To give a more specific example, the information providing device 10 identifies the timing when the amount of change in the user's physical characteristics is maximized, and sets the timing when a predetermined period has elapsed from the identified timing as the timing when the user's menarche occurs. For example, the information providing device 10 acquires user information indicating the user's height, and sets the timing when a predetermined period has elapsed from the timing when the amount of change in the user's height is maximized (the height spurt period) as the timing when the user's menarche occurs.

[0041] For example, the information providing device 10 acquires information indicating the user's height and weight as user information, and estimates the timing when the user's menarche occurs based on a predetermined index (e.g., BMI, etc.) calculated from the user's height and weight. For example, the information providing device 10 sets the timing when a period corresponding to the characteristics related to the user's growth (e.g., BMI, etc.) has elapsed from the timing when the amount of change in the user's height is maximized as the menarche timing. As a result of such processing, the information providing device 10 can accurately estimate the timing of the user's menarche.

[0042] Note that the information providing device 10 may acquire user information indicating the user's weight, and set the timing when a predetermined period has elapsed from the timing when the amount of change in the user's weight is maximized as the timing when the user's menarche occurs. Also, in FIG. 3, the growth rate of height was used, but it is not limited to this, and only the information on height may be used, and its derivative (i.e., the amount of change) may be used.

[0043] [1-3. An example of prediction processing] Hereinafter, an example of prediction processing will be described with reference to FIG. 1. For example, the terminal device 100 provides diagnostic content as content for predicting the user's menarche (step S1). For example, the terminal device 100 may have an application for providing diagnostic content pre-installed, and may acquire various responses from the user. For example, the information providing device 10 or a predetermined external server (not shown) may cooperate to provide such diagnostic content.

[0044] In the example shown in FIG. 1, the terminal device 100 displays content having a title such as "When will the diagnosis be made" and having a button with the text "Diagnose" arranged thereon. Then, when the user taps the button, the terminal device 100 provides content for inputting information indicating various physical characteristics of the user (that is, user information), and obtains various responses such as the user's height and weight (step S2).

[0045] For example, FIG. 4 is a diagram showing an example of content for obtaining user information. As shown in FIG. 4, the terminal device 100 displays content C10 for receiving inputs such as the user's weight, breast development status, bra size, and the like. Then, the terminal device 100 receives inputs of each piece of information from the user by means of selection means such as radio buttons. Note that the terminal device 100 may receive responses not only in the form of radio buttons but also in a pull-down format, and may receive various pieces of information from the user via a text box.

[0046] In addition to the information shown in FIG. 4, the terminal device 100 may also receive various pieces of information useful for predicting the user's menarche. For example, the terminal device 100 may receive inputs of information indicating physical characteristics such as the user's age, body type (height and weight), presence or absence of menstruation and discharge, information on various physical changes indicating the state of secondary sexual characteristics, the mother's age at menarche, presence or absence of abdominal pain (that is, dysmenorrhea), the state of occurrence of underarm hair, the state of occurrence of pubic hair, the state of occurrence of calf hair, and the like.

[0047] Further, the terminal device 100 may also receive from the user the amount of sleep, physical discomfort, or the amount of exercise. For example, the terminal device 100 may receive the average sleep time for a recent predetermined period (for example, one week). In addition, the terminal device 100 may receive information as to whether the user's physical condition for a recent predetermined period is good or poor. Further, the terminal device 100 may receive the average exercise time for a recent predetermined period. Here, the exercise time may include the exercise time for each exercise having different intensities.

[0048] In addition, the terminal device 100 may receive input of information indicating not only the physical characteristics of these users, but also, for example, information indicating the psychological characteristics of the users, such as the presence or absence of a boyfriend or a favorite person, and impressions of a questionnaire. Further, the terminal device 100 may receive, for example, the user's impressions of absorbent articles, and may receive the user's hobbies (for example, favorite colors, favorite patterns, etc.).

[0049] Also, the terminal device 100 does not need to receive responses for all of the various types of information described above. For example, when the user only inputs height and weight among the various types of information, the terminal device 100 predicts the user's menarche age using only height and weight without using other information.

[0050] Returning to FIG. 1 and continuing the explanation. When the terminal device 100 acquires response information from the user, the acquired response information is transmitted to the information providing device 10 (step S3). In such a case, the information providing device 10 specifies the time when the change in physical characteristics is maximized and the growth pattern (step S4). For example, the information providing device 10 specifies the height history of the user, and calculates the amount of change in height for each predetermined period (for example, one year) from the specified history. Then, the information providing device 10 sets the time when the amount of change in the user's height is maximized as the height spurt time.

[0051] In addition, the information providing device 10 calculates the BMI value using a predetermined formula from the height and weight (step S5). Note that the information providing device 10 may obtain growth information (hereinafter referred to as "growth information") indicating the growth status of the user from any information as long as it is other than the BMI. Also, in order to identify the period when the change amount of height is the largest, the information providing device 10, for example, provides a question "When was the time when your height increased the most?" to the user and accepts the input of the user's answer, thereby identifying the period when the change amount of height is the largest. That is, the process of the information providing device 10 identifying the change in physical characteristics from the user information indicating the physical characteristics of the user includes not only the process of identifying the change amount from various measurement values such as height and weight and the process of identifying the timing when the change amount is the largest, but also the process of identifying the change amount by obtaining information indicating the change amount input by the user and the process of identifying the timing when the change amount input by the user is the largest by obtaining information indicating the timing when the change amount is the largest.

[0052] Then, the information providing device 10 predicts the timing of menarche from the height spurt period and the BMI. For example, the information providing device 10 sets the time when a period corresponding to the BMI has elapsed from the height spurt period as the user's menarche time. More specifically, the information providing device 10 calculates the possibility that menarche will occur when a predetermined period such as 3 months later, within 1 year, within 3 years, etc. has elapsed. In actuality, the information providing device 10 predicts the user's menarche time using a model that has been learned using learning data having the height spurt period, the BMI, and the menarche time as features. The details of such a model will be described later.

[0053] Subsequently, the information providing device 10 generates the predicted content corresponding to the menarche time as proposed content (step S7). Then, the information providing device 10 transmits the generated proposed content to the terminal device 100 (step S8).

[0054] For example, FIG. 5 is a diagram showing an example of proposed content generated by the information providing apparatus according to the embodiment. As shown in FIG. 5, the information providing apparatus 10 generates proposed content C20 that indicates the possibility of the first menstruation occurring at each time period and shows various sanitary products proposed to the user.

[0055] For example, when the possibility of the first menstruation occurring within 3 months is "30 percent", the possibility of the first menstruation occurring within 6 months is "50 percent", the possibility of the first menstruation occurring within 1 year, and the possibility of the first menstruation occurring within 3 years is "10 percent", the information providing apparatus 10 generates proposed content C20 that includes information indicating the period with the highest possibility. For example, the information providing apparatus 10 generates proposed content C20 that emphasizes that the "probability of coming within 6 months" is "50 percent" and shows the possibility of the first menstruation occurring in other periods as a diagnosis result.

[0056] In addition, when the possibility of the first menstruation occurring within 3 months or within 6 months is high, the information providing apparatus 10 generates proposed content C20 that shows various absorbent articles estimated to suit the user, together with a message such as "It's about time to start preparing. What we recommend for you is...". That is, when the first menstruation period satisfies a predetermined condition, the information providing apparatus 10 provides information regarding absorbent articles. For example, the information providing apparatus 10 estimates the user's hip size from the height and weight, and selects various sanitary products such as panty liners #1, napkins #2, shorts #3, etc. of a size that matches the user's physical characteristics from the estimated hip size, and may generate proposed content C20 that shows the selected sanitary products.

[0057] In this way, the information providing apparatus 10 predicts the user's first menstruation period based on the user's physical characteristics and provides proposed content corresponding to the predicted first menstruation period. Therefore, the information providing apparatus 10 can prompt the user U before the first menstruation to prepare absorbent articles and indicate that there will be a future first menstruation, so as to reduce the anxiety about dealing with the first menstruation and the stress caused by being unable to cope with the first menstruation, and as a result, improve the quality of life of the user U.

[0058] 〔2. Example of Functional Configuration〕 Hereinafter, an example of the functional configuration for realizing the above-described prediction process will be described. In the following description, the outline of the functional configuration of the information providing apparatus 10 will be described, and then an example of the process performed by the functional configuration of the information providing apparatus 10 will be described.

[0059] 〔2-1. Outline of the Functional Configuration of the Information Providing Apparatus 10〕 FIG. 6 is a diagram showing an example of the functional configuration of the information providing apparatus 10 according to the embodiment. As shown in FIG. 6, the information providing apparatus 10 includes a communication unit 20, a storage unit 30, and a control unit 40.

[0060] The communication unit 20 is connected to the network N by wire or wirelessly and transmits and receives information to and from the terminal device 100. For example, the communication unit 20 is realized by a circuit for communication or the like.

[0061] The storage unit 30 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk, and various data for executing output processing are registered. For example, in the example shown in FIG. 6, a user database 31 and a model database 32 are registered in the storage unit 30.

[0062] In the user database 31, user information is registered as information regarding each user. For example, FIG. 7 is a diagram showing an example of the information registered in the user database according to the embodiment. As shown in FIG. 7, in the user database 31, a user ID (Identifier) and response information are registered in association with each other. More specifically, in the user database 31, information having items such as a response information ID, date and time, height, weight, presence or absence of vaginal discharge, hair growth information, and pain information is registered as response information. In addition to the information shown in FIG. 7, various types of information indicating the physical characteristics of the user may be registered in the user database 31, and various types of information indicating the psychological characteristics of the user may also be registered.

[0063] Here, the "user ID" is an identifier for identifying a user. Also, the "response information ID" is information for identifying response information. As shown in FIG. 7, in the user database 31, a plurality of response information regarding the user indicated by the same user ID and registered at different dates and times will be registered.

[0064] Here, the "date and time" is information indicating the date and time when the response information was registered. Also, the "height" is information indicating the height of the user at the time when the response information was registered, and the "weight" is information indicating the weight of the user at the time when the response information was registered. Also, the "presence or absence of vaginal discharge" is information indicating whether or not there is vaginal discharge at the time when the response information was registered. Also, the "hair growth information" is information indicating whether or not there is hair growth such as pubic hair or armpit hair at the time when the response information was registered. Also, the "pain information" is information indicating whether or not there is menstrual pain or the like at the time when the response information was registered.

[0065] In the example shown in FIG. 7, the user database 31 stores information such as user ID "UID#1", response information ID "ID#1-1", date and time "2019 / 05 / 01", height "140", weight "46", presence of menstruation "yes", hair growth information "hair growth", and pain information "pain". Such information is registered as one of the response information regarding the user indicated by the user ID "UID#1", and the response information indicated by the response information ID "ID#1-1" is registered, indicating that this response information shows the physical characteristics of the user at the date and time "2019 / 05 / 01". Also, this response information indicates that the height of the user indicated by the user ID "UID#1" is "140" centimeters, the weight is "46" kilograms, menstruation is secreted, there is hair growth on the armpits and pubic area, and there is menstrual pain.

[0066] Returning to FIG. 6, the explanation continues. The model database 32 stores data of a model used for predicting the age of menarche of a user. For example, when information indicating the physical characteristics of the target user for whom the age of menarche is to be predicted is input to the model database 32, a model that has been trained to output information indicating the age of menarche of the target user is registered. Note that various parameters constituting the model are registered in the model database 32, and illustration thereof is omitted.

[0067] The control unit 40 is, for example, an arithmetic processing device for executing various processes, and is realized, for example, by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), etc., when various programs (corresponding to an example of a prediction program) stored in a predetermined storage device (for example, the storage unit 30) are executed with the RAM as a work area. Also, the control unit 80 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0068] In the example shown in FIG. 6, the control unit 40 includes a learning unit 41, an acquisition unit 42, a specifying unit 43, a prediction unit 44, and a providing unit 45. The learning unit 41 executes a learning process described below, and the acquisition unit 42, the specifying unit 43, the prediction unit 44, and the providing unit 45 execute a prediction process described below.

[0069] [2-2. Regarding the learning process] The learning unit 41 learns a model that learns the relationship between user information indicating the physical characteristics of various users and the timing of menarche of the user. Hereinafter, with reference to FIG. 8, an example of the flow of the learning process executed by the learning unit 41 will be described.

[0070] FIG. 8 is a flowchart showing an example of the flow of the learning process executed by the information providing apparatus according to the embodiment. For example, the learning unit 41 acquires information indicating the physical characteristics of a user who has experienced menarche at each time (step S101). Subsequently, the learning unit 41 corrects the parameters of the model so as to output the possibility of menarche occurring when a predetermined period has elapsed when the physical characteristics are input (step S102). That is, the learning unit 41 causes the model to learn the characteristics having the relationship between the physical characteristics and the timing of menarche. Then, the learning unit 41 registers the model in the model database 32 (step S103) and ends the process.

[0071] Hereinafter, an example of such a model will be described. Note that any type of model can be adopted as the model described below. For example, the information providing apparatus 10 may adopt an SVM (Support Vector Machine) or a DNN (Deep Neural Network) as the model. Here, the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network). Further, the RNN may be an LSTM (Long short-term memory) or the like. Further, the model may be realized by combining a plurality of models, such as a model combining a CNN and an RNN.

[0072] For example, the learning unit 41 acquires various types of information as response information, such as the age at which menarche occurred, the height and weight of the user, and information indicating the state of various secondary sexual characteristics, as information on users who have experienced menarche. Then, the learning unit 41 performs learning of the model so that when information of the same type as the response information is input to the model, information indicating the age at which menarche occurred is output. Note that for such learning of the model, various arbitrary learning methods, such as backpropagation, can be adopted, for example.

[0073] In addition, the learning unit 41 may specify the user's height spurt period from the history of height and weight, and adopt the height spurt period as one of the inputs. Further, the learning unit 41 may adopt the history of the user's BMI as one of the inputs. In addition to these, the learning unit 41 may also adopt, as one of the inputs, a numerical value indicating the physical characteristics of the user estimated from the user's height, weight, etc. Further, the learning unit 41 may estimate the size of the user's pelvis from, for example, the waist size and hip size, etc., and use the estimated size of the pelvis as one of the features.

[0074] Further, the learning unit 41 may perform learning of the model so as to output a numerical value indicating the menarche period (for example, a value such as "in 3 months"), or may learn a model indicating the possibility of menarche occurring when a predetermined period has elapsed. For example, the learning unit 41 specifies the height, weight, BMI, and state of secondary sexual characteristics 3 months before, 6 months before, 1 year before, and 3 years before menarche as learning data.

[0075] Then, when the learning data 3 months before menarche is input, the learning unit 41 calculates the highest possibility of menarche occurring in 3 months, when the learning data 6 months before menarche is input, calculates the highest possibility of menarche occurring in 6 months, when the learning data 1 year before menarche is input, calculates the highest possibility of menarche occurring in 1 year, and when the learning data 3 years before menarche is input, the learning unit 41 may perform learning of the model so as to calculate the highest possibility of menarche occurring in 3 years.

[0076] [2-3. Regarding prediction processing] Hereinafter, an example of the flow of prediction processing will be described with reference to FIG. 9. FIG. 9 is a flowchart showing an example of the flow of prediction processing executed by the information providing apparatus 10 according to the embodiment.

[0077] For example, the acquisition unit 42 determines whether it is a predetermined processing timing (step S201). For example, when the acquisition unit 42 receives response information from the terminal device 100, it determines that it is the processing timing. And when it is not the predetermined processing timing (step S201: No), the acquisition unit 42 waits until the predetermined processing timing. And when it is the predetermined processing timing (step S201: Yes), the acquisition unit 42 acquires the history of the user's response information corresponding to the response information from the user database 31 (step S202).

[0078] For example, the acquisition unit 42 sets the user corresponding to the response information as the target user to be predicted for the age of menarche, and acquires user information indicating the physical characteristics of the target user from the user database 31. For example, the acquisition unit 42 acquires information indicating height and weight as information indicating the body type of the target user. Note that, in addition to these pieces of information, the acquisition unit 42 may also acquire the presence or absence of belongings, the presence or absence of menstrual pain, and the like.

[0079] Subsequently, the specifying unit 43 specifies the spurt period when the change in the physical characteristics of the target user is the largest from the user information acquired by the acquisition unit 42 (step S203). That is, the specifying unit 43 specifies the change in the physical characteristics of the target user based on the user information. For example, the specifying unit 43 calculates the amount of change in height per year, and specifies the period when the calculated amount of change is the largest as the height spurt period. Note that the specifying unit 43 may specify the period when the amount of change in weight is the largest as the weight spurt period.

[0080] In addition, the specifying unit 43 specifies the BMI of the target user from the height and weight of the user acquired at the same time (step S204). For example, the specifying unit 43 may specify the average value of the BMI at each period, or may specify the BMI at the height spurt period or the weight spurt period.

[0081] Then, the prediction unit 44 predicts the timing of menarche based on the sprint timing and BMI (step S205). That is, the prediction unit 44 predicts the timing when menarche occurs for the user based on the user information of the target user.

[0082] For example, the prediction unit 44 acquires the height sprint timing or the weight sprint timing specified by the specifying unit 43 as the timing when the change in the user's physical characteristics satisfies a predetermined condition. Then, the prediction unit 44 predicts the timing when a predetermined period has elapsed from the height sprint timing or the weight sprint timing as the menarche timing of the user. For example, the prediction unit 44 sets the period when a period corresponding to the value of BMI has elapsed from the height sprint timing or the weight sprint timing as the menarche timing.

[0083] Note that the prediction unit 44 predicts the menarche timing using the model learned by the learning unit 41. For example, when the height sprint timing and the value of BMI are input, the learning unit 41 learns the model so as to output the possibility that menarche occurs when each period has elapsed. In such a case, the prediction unit 44 predicts the menarche timing by inputting the height sprint timing and the value of BMI of the target user into the model.

[0084] Note that the prediction unit 44 may predict the menarche timing based on a rule, or may predict the menarche timing using various equations. For example, the prediction unit 44 sets the date and time when a period calculated according to the user's BMI has elapsed from the height sprint timing of the user as the menarche timing, and may calculate the period from the prediction time to the menarche timing of the user from the difference between the current age of the user and the menarche timing.

[0085] Subsequently, the providing unit 45 generates providing information according to the prediction result by the prediction unit 44 (step S206). For example, the providing unit 45 generates providing information indicating the possibility of the occurrence of menarche within each period. Also, when the period until the most likely menarche time is shorter than a predetermined threshold, the providing unit 45 may generate providing information indicating information about the absorbent article. Then, the providing unit 45 provides the generated providing information to the terminal device 100 of the target user (step S207) and ends the process.

[0086] [3. Regarding variations of the process] Hereinafter, variations of the above-described process will be described. Note that the processes described below may be implemented individually or in any combination.

[0087] [3-1. Regarding the aspects of secondary sexual characteristics] Here, the menarche time of the user is considered to have a close relationship with the aspects of the user's secondary sexual characteristics. For example, things that occur as precursors of menarche are considered to have a high relationship with the aspects of the user's secondary sexual characteristics. Also, menarche is considered to occur after such things are secreted. Therefore, the information providing device 10 may predict the time when the user's menarche occurs based on the aspects of the user's secondary sexual characteristics.

[0088] For example, FIG. 10 is a diagram showing an example of the time when each state group occurs. In the example shown in FIG. 10, regarding breast development and pubic hair growth, the increase and decrease in the number of users classified into each group in the Tanner classification described above are shown for each age.

[0089] For example, in such a Tanner classification (hereinafter referred to as "Tanner classification"), the stages of breast development are classified into: stage 1 (B1) where only the nipple protrudes; stage 2 (B2) where only the nipple protrudes, a small elevation of the breast is formed, and the coloring increases; stage 3 (B3) where the areola and breast parenchyma protrude further, but there is no step between the areola part and other parts; stage 4 (B4) where the areola part protrudes in a disk shape above the mammary parenchyma; and stage 5 (B5) where a rounded hemispherical breast is formed. Also, in the Tanner classification, the stages of pubic hair development are classified into: stage 1 (PH1) with no hair growth; stage 2 (PH2) where long, slightly colored, straight or slightly curly hairs sparsely grow along the labia; stage 3 (PH3) where darker and coarser hairs sparsely grow above the vagina; stage 4 (PH4) which approaches adult-type hair growth but the hair growth area is small; and stage 5 (PH5) with adult-type hair growth.

[0090] As shown in FIG. 10, the number of users classified into the B2 group increases when the user's age is around 7, the number of users classified into the B3 group increases when the user's age is around 8, and the number of users classified into the PH2 group increases when the user's age is around 9. Also, as shown in FIG. 10, the number of users classified into the B4 group or PH3 group increases when the user's age is around 10, the number of users classified into the B5 group or PH4 group increases when the user's age is around 12, and the number of users classified into the PH5 group increases when the user's age is around 14.

[0091] Thus, although the physical changes related to the secondary sexual characteristics of users vary among users, they are considered to occur with a certain degree of orderliness. Here, considering that the occurrence of menarche has a close relationship with the aspects of secondary sexual characteristics and that menarche occurs after the occurrence of menarche, it can be said that the aspects of the secondary sexual characteristics of users are significant information for predicting the timing of menarche of users.

[0092] Therefore, the information providing apparatus 10 predicts the menarche age of the user based on the aspects of the user's secondary sexual characteristics. For example, the information providing apparatus 10 may acquire information indicating the user's state regarding breast development and pubic hair growth, classify the user into each group in Tanner classification based on the acquired information, and predict the user's menarche age based on the classification result. Further, the information providing apparatus 10 may also acquire the presence or absence of discharge as one of the aspects of secondary sexual characteristics and estimate the user's menarche age based on the presence or absence of discharge.

[0093] Note that the information providing apparatus 10 may perform classification in any aspect as long as it performs classification according to the aspects of secondary sexual characteristics other than Tanner classification. Further, the information providing apparatus 10 may use the information indicating the aspects of secondary sexual characteristics (that is, the presence or absence of discharge and the presence or absence of menstrual pain) itself as the estimation result.

[0094] [3-2. Regarding the features to be used (1) Aspects of secondary sexual characteristics] In the above description, the information providing apparatus 10 uses the user's height spurt age and BMI as information (that is, features) for predicting the menarche age. However, the embodiment is not limited to this. For example, the information providing apparatus 10 may predict the menarche age using the aspects of secondary sexual characteristics as one of the features. For example, the information providing apparatus 10 may learn the relationship between the aspects of secondary sexual characteristics and the menarche age in a model and further use the aspects of secondary sexual characteristics of the target user to predict the menarche age. More specifically, the information providing apparatus 10 may perform prediction of the menarche age by inputting the height spurt age, weight spurt age, presence or absence of discharge, and the result of Tanner classification of the target user.

[0095] In addition, if the information providing device 10 estimates the menarche timing based on information indicating the physical characteristics of the user including the aspects of secondary sexual characteristics, in addition to the information described above, any information and any combination of information may be adopted. For example, the information providing device 10 may predict the menarche timing only from the history of the user's height. For example, the information providing device 10 may set the timing when a predetermined date and time has elapsed since the height spurt period as the menarche timing. Further, the information providing device 10 may predict the menarche timing only from the history of the weight. For example, the information providing device 10 may set the timing when a predetermined date and time has elapsed since the weight spurt period when the increase amount of the weight is maximum as the menarche timing.

[0096] Also, the information providing device 10 may predict the menarche timing based only on the history of the aspects of secondary sexual characteristics. For example, the information providing device 10 may learn the relationship between the change in the Tanner classification of the user at each age and the menarche timing as a model, and predict the menarche timing from the change in the Tanner classification of the target user.

[0097] In addition, the information providing device 10 may predict the menarche timing using a model with any information as a feature among the various types of user information described above. For example, the information providing device 10 may use the mother's menarche timing as a feature to realize a prediction reflecting the genetic relationship. Further, the information providing device 10 may perform learning of the model or the like so as to estimate a higher possibility that the timing when a predetermined period has elapsed since the occurrence of the first menstruation is the menarche timing.

[0098] Furthermore, the information providing device 10 may estimate the menarche timing using other physical information estimated from the various types of user information described above. For example, in a general growth pattern, the height spurt and the weight spurt occur either simultaneously or with a time shift, and then there is a high possibility that menarche occurs after the bones become thicker. Therefore, the information providing device 10 estimates the weight of the user's bones from the user information, and after various spurts occur, predicts the timing when a predetermined period has elapsed since the timing when the weight of the bones satisfies a predetermined condition as the menarche timing.

[0099] In addition, the information providing device 10 may set the time when an arbitrary period (hereinafter referred to as "prediction grace period") corresponding to the characteristics of the user's growth has elapsed since various sprint times or the time when the bone weight satisfies a predetermined condition (hereinafter referred to as "reference time") as the menarche time. For example, as described above, the information providing device 10 may set the period corresponding to the value of BMI as the prediction grace period, or for example, may set a predetermined period calculated from height and weight as the prediction grace period. Further, the information providing device 10 may set the period corresponding to the mode of secondary sexual characteristics as the prediction grace period.

[0100] Note that the information providing device 10 may learn the relationship between such various reference times and prediction grace periods in a model, and predict the period until the menarche time (that is, the prediction grace period of the target user) by inputting the reference time of the target user. By executing such processing, the information providing device 10 can more accurately estimate the menarche time of the user.

[0101] In addition to various sprint times, the information providing device 10 may also adopt information corresponding to changes in height and weight as features. For example, in addition to the height sprint time, the information providing device 10 may further use, for example, the timing when the height starts to increase (for example, the timing when the slope becomes positive in a graph showing the increase in height) as a feature. Similarly, the information providing device 10 may use the timing when the weight, bone weight, etc. start to increase as a feature.

[0102] In general growth patterns, after the growth rate passes the first sprint and once the growth rate decreases after birth, the second sprint is encountered. In the above description, the information providing device 10 predicted the menarche time based on the second sprint. However, for example, the information providing device 10 may inquire of the user's parent or the like about the time of the first sprint and adopt the input time as an additional feature. That is, if the information providing device 10 uses information indicating the history of the user's physical characteristics as a feature, any information may be adopted as a feature.

[0103] [[3-3. Attributive to be used (2) Psychological changes]] Also, in the above description, the information providing apparatus 10 uses the user's height spurt period and BMI as information for predicting the onset of menstruation. However, the embodiment is not limited thereto. For example, the information providing apparatus 10 may predict the onset of menstruation using the user's psychological changes as information for predicting the onset of menstruation.

[0104] For example, the information providing apparatus 10 acquires, as response information, information regarding the user's mental state with respect to physiology and psychological changes. For example, the information providing apparatus 10 acquires information regarding whether the user is positive or negative about physiology from questions regarding physiology. For example, when responses such as "becoming an adult", "not yet", or "won't it come soon" are obtained for questions regarding physiology, the information providing apparatus 10 determines that the user is positive about physiology. On the other hand, when responses such as "troublesome" or "painful" are obtained for questions regarding physiology, the information providing apparatus 10 determines that the user is negative about physiology. Also, when responses indicating a negative mood such as "what will it be like", "what should I do when it happens", or "I don't want to become" are obtained for questions regarding physiology, the information providing apparatus 10 determines that the user is negative about physiology. In this way, the information providing apparatus 10 acquires the user's current straightforward feelings about the coming of physiology.

[0105] Note that the input mode for questions regarding physiology may be any mode. For example, the input mode may be a radio button format for selecting the content closest to the user's mood, a checkbox format for selecting multiple contents suitable for the user's mental state, a format for allowing the user to input an answer in free form, or the like.

[0106] Here, when the information providing device 10 receives input in free form by the user, it analyzes the input information entered in free form by the user using conventional techniques related to natural language processing such as morphological analysis and semantic analysis. For example, the information providing device 10 refers to a predetermined database in which words indicating a mental state and mental changes are pre-associated with the positive or negative meanings indicated by such words and stored, and calculates the frequency of occurrence of the words included in the input information. Then, based on the calculation result, when the frequency of occurrence of positive words among the words indicating a mental state and mental changes is equal to or more than a predetermined threshold, the information providing device 10 determines that the user is positive about the physiology. On the other hand, based on the calculation result, when the frequency of occurrence of negative words among the words indicating a mental state and mental changes is equal to or more than a predetermined threshold, the information providing device 10 determines that the user is negative about the physiology. Note that the predetermined database may be possessed by the information providing device 10, or may be possessed by an external server or an external cloud system.

[0107] In addition, the information providing device 10 may obtain information regarding the user's mental state and mental changes with respect to physiology by causing the user to select an illustration or an image in a manner similar to a questionnaire, or by using a psychological test such as POMS (Profile of Mood States).

[0108] Further, the information providing device 10 may estimate information regarding the user's mental state and mental changes with respect to physiology from the information detected by various sensors. For example, when the terminal device 100 or the wearable device used by the user has various sensors, the information providing device 10 may estimate the mental state from the user's heart sound. For example, the information providing device 10 determines whether the user is excited or calm based on the user's heart rate when browsing a question item regarding physiology.

[0109] For example, the information providing device 10 may vary the frequency of providing questions about menstruation to the user depending on the result of menarche prediction. In this case, the information providing device 10 uses the first questions about menstruation for a user whose first menstruation is predicted to occur soon to determine whether the user has a positive or negative attitude toward menstruation. On the other hand, the information providing device 10 may provide questions about menstruation multiple times to a user whose first menstruation is predicted to occur after a predetermined period of time (e.g., several months or several years). Then, the information providing device 10 determines whether the user has a positive or negative attitude toward menstruation for each of the questions about menstruation provided multiple times. Furthermore, the information providing device 10 may periodically provide the user with information about menstruation that alleviates anxiety about menstruation when the user shows a negative psychological change.

[0110] In this way, the information providing device 10 can track the psychological changes of the user regarding menstruation over time. As a result, the information providing device 10 can allow the user to understand their own psychological changes regarding menstruation. Furthermore, the information providing device 10 can eliminate the cognitive bias of the user regarding menstruation by providing knowledge regarding menstruation even before the onset of menarche. Furthermore, the information providing device 10 can obtain the psychological changes of the user and provide information (e.g., information regarding whether menstrual pain is abnormal or normal) that enables the user to control menstrual pain, premenstrual syndrome (PMS), or premenstrual dyspholic disorder (PMDD). Therefore, the information providing device 10 can encourage the user to control anxiety.

[0111] Furthermore, the information providing device 10 may provide information about sanitary products to the user in response to a psychological change. For example, when the user shows a positive psychological change, the information providing device 10 may provide content about sanitary products, including how to use the sanitary products.

[0112] [3-4. Characteristics to be Used (3) Cognitive Ability] Also, in the above description, the information providing apparatus 10 used the user's height spurt period and BMI as information for predicting the age of menarche. However, the embodiment is not limited thereto. For example, the information providing apparatus 10 may estimate the cognitive ability of the user based on the user information. Then, the information providing apparatus 10 may predict the age of menarche using the estimated cognitive ability as information for predicting the age of menarche.

[0113] For example, the information providing apparatus 10 may estimate the cognitive ability indicating the developmental state of the user's brain based on the user information input by the user. Then, the information providing apparatus 10 may predict the age of menarche using the estimated cognitive ability. For example, the information providing apparatus 10 may learn the relationship between the estimated cognitive ability and the age of menarche in a model and predict the age of menarche using the cognitive ability of the target user. In this way, the information providing apparatus 10 can estimate the developmental status of the user's cognitive ability and comprehension according to the change in the cognitive ability due to the breakdown of the psychological balance during puberty. Thereby, the information providing apparatus 10 can accurately predict the age of menarche of the user.

[0114] Also, the information providing apparatus 10 may provide information regarding sanitary products to the user, including a method of proposing sanitary products and a method of using sanitary products, according to the estimated result. For example, the information providing apparatus 10 may provide content CU1 in which the method of using sanitary products is described in detail when the estimated cognitive ability of the user is less than a predetermined threshold. Here, the content CU1 may include a detailed description of the sanitary product itself. Also, the information providing apparatus 10 may provide content CU2 that proposes sanitary products with high operability when the estimated cognitive ability of the user is less than a predetermined threshold. For example, the content CU2 is content for proposing a product that is easy to wear and highly resistant to leakage.

[0115] On the one hand, when the estimated cognitive ability of the user is equal to or higher than a predetermined threshold, the information providing device 10 may provide content CU3 in which the usage method of the sanitary product is simply explained and the information amount of the sanitary product itself is lower than that of content CU1. Further, when the estimated cognitive ability of the user is equal to or higher than a predetermined threshold, the information providing device 10 may provide content CU3 that proposes a sanitary product used by adult women. For example, content CU3 is content that proposes a compact product and a product with low resistance to leakage.

[0116] Thereby, the information providing device 10 can provide information regarding the sanitary product according to the cognitive ability of the user. For example, when the cognitive ability is equal to or higher than a predetermined threshold, it may be bothersome to be explained in detail about the usage method of the sanitary product. For this reason, when the cognitive ability is equal to or higher than a predetermined threshold, the information providing device 10 provides content including a simple explanation with a reduced information amount for the usage method of the sanitary product. In this way, since the information providing device 10 can propose a sanitary product suitable for the user, the satisfaction of the user can be improved. Therefore, the information providing device 10 can provide the user with information regarding an appropriate sanitary product according to the cognitive development stage and the physical development stage.

[0117] [3-5. Regarding prediction processing] Also, in the above description, the information providing device 10 used the user's height spurt period and BMI as information for predicting the age of menarche. However, the embodiment is not limited thereto. For example, the information providing device 10 may predict the age of menarche using the height at each predetermined age and the age among the user's height as information for predicting the age of menarche. For example, when the age of the user is 7 years old, the information providing device 10 may predict the age of menarche using the height at the age of 7, which is the current age, and the age of 7 years old.

[0118] Hereinafter, while giving an example of the transition of the content displayed on the terminal device 100 using FIG. 11, a prediction process for predicting the age of menarche using the height and age of the user will be described. FIG. 11 is a diagram showing an example of the transition of the content according to the modified example. In the example of FIG. 11, similar to FIG. 1, it will be described assuming that the terminal device 100 has an application for providing diagnostic content pre-installed.

[0119] For example, in the example of FIG. 11, the terminal device 100 displays content C30 titled "User Settings" in order to register user information. Here, the content C30 includes "Name", a text box IN301 for receiving the name input by the user, "Nickname", a text box IN302 for receiving the nickname input by the user, and a button B301 for proceeding to the next content. In this case, the terminal device 100 receives the input of the name and the input of the nickname from the user, and when the button B301 is pressed by the user, it causes a transition to the content C31.

[0120] Then, the terminal device 100 displays content C31 titled "User Settings" in order to register information related to the user's physiology among the user information. Here, content C31 includes "Menstrual period", a text box IN311 for receiving the menstrual period input by the user, "Menstrual cycle", and a text box IN312 for receiving the menstrual cycle input by the user. Furthermore, content C31 includes radio buttons IN313 with selection items such as "Have not had menarche yet", "Less than 3 years since menarche", and "3 years or more since menarche" to allow the selection of the number of years of physiological experience, and a button B311 for proceeding to the next content. In this case, the terminal device 100 receives the input of the menstrual period, the input of the menstrual cycle, and the selection of the radio button IN313 from the user, and when the button B311 is pressed by the user, it causes a transition to content C32. Note that the terminal device 100 may further receive user information other than the question items included in content C30 and C31. For example, the terminal device 100 may cause a transition to content that allows the input or selection of other user information other than the above from content C32.

[0121] Then, the terminal device 100 displays content C32 that explains how to use the content for managing the physiological state. Here, content C32 includes a pie chart GR321, an explanatory text EX321, a comment CO321, and an explanatory text EX322. For example, the explanatory text EX321 describes content such as "Tap here to record your physiology!". Also, the explanatory text EX322 describes content such as "Advice according to the menstrual cycle!" and "You can read the continuation by tapping!". The comment CO321 describes content such as "The day when the menstrual blood volume is the largest during menstruation. Change the sanitary napkin when you notice...".

[0122] The terminal device 100 displays various contents according to the input information of the user. For example, the terminal device 100 distributes the contents according to the user's state such as whether the first menstruation has started or not. For example, if the first menstruation has started, the terminal device 100 distributes the contents in the menstrual cycle management mode, and if the first menstruation has not started, the terminal device 100 distributes the contents in the first menstruation prediction mode. Here, the contents corresponding to each mode include different articles and advertisement contents for each mode.

[0123] For example, when the terminal device 100 receives an input from the user that the user's menstruation has started, the terminal device 100 displays the content C33 in the menstrual cycle management mode. Here, the content C33 includes "Next menstrual schedule X / XX", "XX days until the next menstruation", a pie chart GR331 centered on today's date, and a comment CO331. For example, the terminal device 100 displays the content C33 including "Next menstrual schedule 2 / 7", "13 days until the next menstruation", and as the comment CO331, "The secretion amount of hormones that create femininity increases, and it is a time when motivation and concentration improve...". In this way, the terminal device 100 can easily enable the user to grasp the user's own menstrual state. In addition, since the terminal device 100 provides comments and advice according to the user's menstrual state, the user can easily notice the changes in the user's own physical condition.

[0124] A calendar may be attached to the lower part of the content C33. For example, information regarding the user's hormone balance, physical condition, etc., which is stored in association with the date indicated by such a calendar, may be displayed on the content C33 according to the user's operation.

[0125] On the other hand, when the terminal device 100 does not receive an input from the user when the user's menstruation has started, it displays the content C34 in the first menstruation prediction mode. Here, the content C34 includes a pie chart GR341 centered on "the previously predicted date 20XX / X / XX" and "the probability of coming within six months 50%", and a comment CO341. For example, the terminal device 100 displays the content C34 including "the previously predicted date 2020 / 2 / 10" and, as the comment CO341, "Advice will be displayed and the continuation can be read if you register your menstrual date! Please register your most recent menstrual date...".

[0126] In this way, the terminal device 100 can easily let the user recognize the predicted date of the first menstruation. In addition, the terminal device 100 can provide the user with correct knowledge about menstruation via the comment CO341 at an appropriate timing (for example, before the first menstruation) so that the user can take correct measures against menstruation. For example, the terminal device 100 can provide correct knowledge about menstruation to a user who is likely to have the first menstruation with a high probability within one year. For example, regarding menstrual pain, it is known that menstrual pain is alleviated when the user has a good menstrual experience. Therefore, the terminal device 100 can improve the user's quality of life by allowing the user to recognize knowledge about menstrual pain in advance at an appropriate timing.

[0127] Also, generally, the first menstruation period is a time when stress addition starts to increase due to changes in the life stage, changes in human relationships (for example, the desire for the opposite sex is born from the interest in the opposite sex, the rebellious period), etc. In this case, the user may have an unstable mental state that is contrary to the physical growth when facing the first menstruation. Therefore, the terminal device 100 can provide information at an appropriate timing according to the cognitive development stage and the physical development stage, rather than giving the user a lot of information to choose from.

[0128] In the example of FIG. 11, an example in which the terminal device 100 receives user information input by the user is shown, but it does not necessarily have to be limited to this. For example, when the application is used by parents and children, the terminal device 100 may receive the user information of the user input by the user's parent. Thereby, in order for the parent to easily manage the user's physiology, the terminal device 100 can prompt attention such as not forgetting the sanitary products from the parent to the user. Also, when the application is used by parents and children, accounts corresponding to the parent and the user may be generated respectively.

[0129] Also, as an example of the content displayed on the terminal device 100 using FIG. 12, an example of a web page is given. FIG. 12 is a diagram showing an example of a web page according to a modified example. In the example of FIG. 12, the terminal device 100 will be described as displaying a web page for providing diagnostic content using a predetermined browser.

[0130] For example, in the example of FIG. 12, the terminal device 100 displays content C40 titled "First Menstruation Prediction" in order to acquire user information. Here, the content C40 includes "When will it come? You can get an idea of when your menstruation will come! Don't worry just because it hasn't come yet!", "Height", a text box IN41 for receiving the height input by the user, "Date of birth", a text box IN42 for receiving the date of birth input by the user, and a button B41 for transmitting the input information. In this case, the terminal device 100 receives the input of the height and the date of birth from the user, and when the button B41 is pressed by the user, transmits the user information input by the user to the information providing device 10. Then, the information providing device 10 provides the terminal device 100 with content including the first menstruation prediction result predicted based on the transmitted user information.

[0131] In addition, the content C40 further includes advertisement content. For example, the content C40 includes advertisement content IT41 with content such as "If it's an app, we'll follow you until your period arrives!!" and advertisement content IT42 with content such as "First period kit on sale!" For example, the advertisement content may be advertisement content related to applications, advertisement content related to set products of sanitary products such as first period kits, or advertisement content related to content introducing recommended products based on the first period prediction results. Here, when the advertisement content related to the content introducing the recommended products is pressed by the user, the terminal device 100 causes a transition to the content introducing the recommended products. Note that the advertisement content mentioned here may be any type of advertisement content, for example, a banner advertisement or the like.

[0132] Note that the modification example is not limited to the above example. For example, the terminal device 100 may perform the above processing using a known SNS (Social Networking Service) service. Further, the information providing device 10 may select the advertisement content to be displayed in the content C40 based on the information regarding the referrer acquired as the user information. Further, the information providing device 10 may select the advertisement content to be displayed in the content C40 based on the user information. Further, the information providing device 10 may select the advertisement content specified by the user and to be displayed in the content C40.

[0133] [3-6. Regarding the information to be provided] Here, the information providing device 10 may provide the prediction result and the like not only to the target user to be predicted for the first period, but also to users having a predetermined relationship with the target user, such as the parents or teachers of the target user. For example, the information providing device 10 may acquire user information indicating the physical characteristics of the user U from the parent of the user U, and provide the first period of the user U estimated from the acquired user information to the parent of the user U. Further, the information providing device 10 may provide different content depending on whether the information recipient is a parent or a child.

[0134] By performing such processing, the information providing apparatus 10 can promote communication between parents and children. Further, when the information providing apparatus 10 provides the prediction result to the parent, by providing various product information and the latest information regarding physiology or secondary sexual characteristics, it can promote the update of the knowledge of the parent generation and reduce the gap that occurs in the awareness with the target user. Further, the information providing apparatus 10 can cause the parent to prepare disposable absorbent articles for children.

[0135] Further, when the information providing destination is the user U himself / herself, the information providing apparatus 10 may provide information regarding the aspects of secondary sexual characteristics. For example, the information providing apparatus 10 can further reduce the anxiety of the user associated with secondary sexual characteristics by providing content that explains the meaning and explanation of physical changes such as an increase in breast size or the occurrence of pubic hair.

[0136] Note that the information providing apparatus 10 may estimate the future aspects of secondary sexual characteristics from the aspects of secondary sexual characteristics and provide information regarding the estimation result to the user. For example, when it is estimated from the aspects of the user's secondary sexual characteristics that pubic hair will grow in a predetermined period (for example, six months later), the information providing apparatus 10 may provide a message such as "Hair will grow in the delicate area from now on" to reduce the psychological burden of the user associated with secondary sexual characteristics.

[0137] Note that the information providing apparatus 10 may predict not only the timing of menarche but also the timing when vaginal discharge is secreted for the first time. For example, the information providing apparatus 10 predicts the timing when vaginal discharge is secreted for the first time using a model that has learned the relationship between the timing when vaginal discharge is secreted for the first time and the user information. Then, when it is predicted that vaginal discharge will be secreted other than in March, the information providing apparatus 10 may provide a message such as "Vaginal discharge may occur, so why don't you try using a panty liner?" to the user.

[0138] 〔3-7. Regarding the acquisition timing of user information〕 Here, it is known that the amount of physical changes in a user, such as height and weight, varies depending on the season. For example, during summer, since it is easier to consume energy during the day, sleep becomes deeper, and as a result, the amount of change in height and weight tends to increase. During winter, since it is more difficult to consume energy during the day, sleep becomes shallower, and as a result, the amount of change in height and weight tends to decrease. Therefore, for example, the amount of change in height and weight measured every month may include variations that differ for each season, which can become noise for prediction.

[0139] Therefore, the information providing device 10 may predict the onset age of menstruation based on the amount of change in height and weight measured at intervals longer than a predetermined period. For example, the information providing device 10 may predict the onset age of menstruation from the height and weight measured at a fixed date and time every year (for example, April 20th every year, etc.). By using such information, the information providing device 10 can predict the onset age of menstruation with higher accuracy.

[0140] Also, in order to specify the timing when height begins to increase (the timing when the slope becomes positive in the growth rate graph), by recording height information from a lower age (or, for example, the information providing device 10 provides a question such as "When did your height start to increase?" and accepts input of the user's answer), it is possible to improve the accuracy of predicting the onset of menstruation or provide the onset age of menstruation from a lower age. Furthermore, it can also be utilized for predicting the development of breasts, the timing of excretion, future height, etc., which are characteristics of secondary growth.

[0141] [Regarding the selection of absorbent articles 3 - 8.] In the above description, the information providing device 10 selects the absorbent article to propose to the user before the onset of menstruation based on various user information. Here, in addition to the various combinations described above, the information providing device 10 may also select an absorbent article appropriate for the user (that is, an absorbent article that is less likely to shift, sag, or leak) by any combination.

[0142] In addition, for users whose period until the onset of menarche is below a predetermined threshold, the information providing device 10 may provide a kit that includes various items for dealing with menarche and books containing explanations about menstruation and secondary sexual characteristics. For example, when the predicted remaining period of the target user is below a predetermined threshold, the information providing device 10 selects the target user as a recipient of a kit that includes underwear such as napkins and shorts in a size suitable for the body type of the target user estimated from the user information, a pouch for storing sanitary products such as napkins, a book on sex education regarding menstruation, a photo with a message from the mother, etc. Then, the information providing device 10 may execute various processes for shipping the kit to the target user.

[0143] 〔3-9. Others〕 Note that, among the above-described processes, all or part of the processes described as being automatically performed may be manually performed. Also, all or part of the processes described as being manually performed may be automatically performed by a known method. Additionally, regarding the processing procedures, specific names, and information including various data and parameters shown in the above document and drawings, they can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

[0144] Moreover, each component of the illustrated devices is conceptually functional and does not necessarily have to be physically configured as shown. That is, the specific form of the distribution and integration of each device is not limited to that shown. Also, each component may be functionally or physically distributed and integrated in any unit according to various loads, usage situations, etc., either in whole or in part. Further, the above-described processes may be executed in appropriate combination within a non-conflicting range. Also, the "section, module, unit" described above can be read as "means", "circuit", etc. For example, the prediction unit can be read as a prediction means or a prediction circuit.

[0145] 〔4. Hardware Configuration〕 In addition, the information providing apparatus 10 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. 13. FIG. 13 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic unit 1030, a cache 1040, a memory 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected by a bus 1090.

[0146] The arithmetic unit 1030 operates based on programs stored in the cache 1040 and the memory 1050, programs read from the input device 1020, etc., and executes various processes. The cache 1040 is a cache that primarily stores data used by the arithmetic unit 1030 for various operations, such as a RAM. Also, the memory 1050 is a storage device in which data used by the arithmetic unit 1030 for various operations and various databases are registered, and is a memory realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, etc.

[0147] The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor and a printer, and may be realized by a connector of a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface). On the other hand, the input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, and a scanner, and is realized by, for example, USB or the like.

[0148] For example, the input device 1020 may be realized by a device that reads information from an optical recording medium such as a CD (Compact Disc), DVD (Digital Versatile Disc), or PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Further, the input device 1020 may be realized by an external storage medium such as a USB memory.

[0149] The network IF 1080 has a function of receiving data from other devices via the network N and sending it to the arithmetic unit 1030, and also sending data generated by the arithmetic unit 1030 via the network N to other devices.

[0150] Here, the arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the memory 1050 onto the cache 1040 and executes the loaded program. For example, when the computer 1000 functions as the information providing device 10, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 140 by executing the program loaded onto the cache 1040.

[0151] As a method of providing this embodiment, a dedicated application may be installed on the terminal device 100, and the present embodiment may be provided to the user by the program installed on the information providing device 10 and the application installed on the terminal device 100 cooperating with each other. For example, the application of the terminal device 100 causes the terminal device 100 to execute display processing of an input screen for inputting information indicating the physical characteristics of the user, reception processing for receiving the input, and transmission processing for transmitting the received information as user information to the information providing device 10. On the other hand, the program of the information providing device 10 causes the information providing device 10 to execute acquisition processing for acquiring user information from the terminal device 100 and prediction processing for predicting the user's menarche time from the user information.

[0152] Further, the terminal device 100 may be equipped with a general-purpose browser and be connected to the information providing device 10 via the general-purpose browser of the terminal device 100 to provide the present embodiment to the user. For example, the information providing device 10 may distribute a web page for receiving input of user information to the terminal device 100 and acquire the user information via the web page to realize the above-described processing.

[0153] [5. Effects] As described above, the information providing device 10 predicts the user's menarche period in advance from the user's physical characteristics. As a result of such processing, the information providing device 10 can prompt the user that menarche will occur in the future and to prepare various absorbent articles, etc., thereby reducing the user's psychological burden and improving the user's quality of life.

[0154] In addition, the information providing device 10 predicts the menarche period from the user's physical change amount and BMI based on the relationship between the physical change amount, physical characteristics such as BMI, and the menarche period, so that the menarche period of the user can be accurately estimated. As a result, the information providing device 10 can provide information for explaining menarche, secondary sexual characteristics, responses to menstruation, etc. to the user in a more appropriate manner, thereby improving the user's quality of life.

[0155] The embodiments of the present application have been described in detail based on the drawings. However, these are examples, and the embodiments of the present application can be implemented in other forms that have been variously modified and improved based on the knowledge of those skilled in the art, starting from the aspects described in the column of the disclosure of the invention.

[0156] [6. Supplementary Note] Note that the present technology can also adopt the following configuration. (1) An acquisition unit that acquires user information indicating the user's physical characteristics, A prediction unit that predicts the time when the user's menarche occurs based on the user information A prediction device characterized by having (2) The acquisition unit acquires information indicating the body type of the user as the user information The prediction device according to (1) above, characterized by this (3) Based on the user information, the prediction unit identifies changes in the physical characteristics of the user, and predicts the timing of the user's first menstruation based on the timing when the identified changes satisfy a predetermined condition The prediction device according to (1) or (2) above, characterized by this (4) The prediction unit identifies the timing when the amount of change in the physical characteristics of the user is maximum, and sets the timing when a predetermined period has elapsed from the identified timing as the timing when the user's first menstruation occurs The prediction device according to (3) above, characterized by this (5) The acquisition unit acquires user information indicating the height of the user, The prediction unit sets the timing when a predetermined period has elapsed from the timing when the amount of change in the height of the user is maximum as the timing when the user's first menstruation occurs The prediction device according to (4) above, characterized by this (6) The acquisition unit acquires user information indicating the weight of the user, The prediction unit sets the timing when a predetermined period has elapsed from the timing when the amount of change in the weight of the user is maximum as the timing when the user's first menstruation occurs The prediction device according to (4) or (5) above, characterized by this (7) The acquisition unit acquires information indicating the height and weight of the user as the user information, Based on a predetermined index calculated from the height and weight of the user, the prediction unit predicts the timing when the user's first menstruation occurs The prediction device according to any one of (1) to (6) above, characterized by this (8) After the amount of change in the user's height becomes maximum and the amount of change in the user's weight becomes maximum, the prediction unit sets the time when a predetermined period has elapsed since the time when the weight of the user's bones estimated from the user's height and weight satisfies a predetermined condition as the time when the user's menarche occurs. The prediction device according to (7) above, characterized in that. (9) The prediction unit estimates characteristics related to the growth of the user based on the height and the weight, and sets the time when a period corresponding to the characteristics related to the growth of the user has elapsed since the time when the amount of change in the user's height becomes maximum as the time when the user's menarche occurs. The prediction device according to (7) or (8) above, characterized in that. (10) The acquisition unit further acquires information related to the psychological changes of the user as the user information. The prediction unit predicts the time when the user's menarche occurs based on the information related to the psychological changes of the user. The prediction device according to any one of (1) to (9) above, characterized in that. (11) The acquisition unit acquires information related to the positive psychological changes of the user among the information related to the psychological changes of the user. The prediction unit predicts the time when the user's menarche occurs based on the information related to the positive psychological changes of the user. The prediction device according to (10) above, characterized in that. (12) The acquisition unit acquires information related to the negative psychological changes of the user among the information related to the psychological changes of the user. The prediction unit predicts the time when the user's menarche occurs based on the information related to the negative psychological changes of the user. The prediction device according to (10) above, characterized in that. (13) The acquisition unit acquires user information indicating the physical characteristics of the user measured at the same time of each year. The prediction device according to any one of (1) to (12) above, characterized in that... (14) The acquisition unit acquires information regarding the secretions of the user. The prediction device according to any one of (1) to (13) above, characterized in that... (15) The acquisition unit acquires user information of a target user whose menarche prediction target is the time when menarche occurs, The prediction unit predicts the time when menarche occurs in the target user from the user information of the target user using a model that has learned the relationship between the user information of the user and the time of the user's menarche. The prediction device according to any one of (1) to (14) above, characterized in that... (16) A providing unit that provides information according to the prediction result by the prediction unit The prediction device according to any one of (1) to (15) above, characterized in that it has... (17) The providing unit provides information regarding absorbent articles according to the prediction result. The prediction device according to (16) above, characterized in that... (18) The providing unit sorts out content corresponding to the physical characteristics of the user according to the prediction result. The prediction device according to (16) above, characterized in that... (19) When the prediction result indicates that menarche has started, the providing unit provides content for managing menarche and menstruation. The prediction device according to (18) above, characterized in that... (20) When the prediction result indicates that menarche has not started, the providing unit provides content for predicting the time when menarche occurs. The prediction device according to (18) above, characterized in that... (21) An estimation unit that estimates the form of the secondary sexual characteristics of the user based on the user information and has The providing unit provides information regarding the aspect of the secondary sexual characteristics estimated by the estimating unit. The prediction device according to (16) or (17) above, characterized in that. (22) The providing unit provides information regarding the absorbent article according to the aspect of the secondary sexual characteristics. The prediction device according to (21) above, characterized in that. (23) The predicting unit predicts the timing of the user's first menstruation based on the aspect of the secondary sexual characteristics estimated by the estimating unit. The prediction device according to (21) or (22) above, characterized in that. (24) An estimating unit that estimates the cognitive ability of the user based on the user information. The prediction device according to (16) or (17) above, which has. (25) The predicting unit predicts the timing of the user's first menstruation based on the cognitive ability estimated by the estimating unit. The prediction device according to (24) above, characterized in that. (26) The providing unit provides information regarding the absorbent article according to the cognitive ability. The prediction device according to (24) above, characterized in that. (27) The providing unit provides information regarding the method of using the absorbent article according to the cognitive ability. The prediction device according to (24) or (26) above, characterized in that. (28) When the cognitive ability is equal to or greater than a predetermined threshold, the providing unit provides information regarding the method of using the absorbent article in which the amount of information on the method of using the absorbent article is less than a predetermined threshold. The prediction device according to (27) above, characterized in that. (29) When the cognitive ability is less than a predetermined threshold, the providing unit provides information regarding a method of using the absorbent article, wherein the amount of information on the method of using the absorbent article is equal to or greater than a predetermined threshold. The prediction device according to (27), characterized in that. (30) A prediction method executed by a prediction device, An acquisition step of acquiring user information indicating the physical characteristics of the user; A prediction step of predicting the timing of the user's first menstruation based on the user information The prediction method characterized by including. (31) An acquisition procedure for acquiring user information indicating the physical characteristics of the user; A prediction procedure for predicting the timing of the user's first menstruation based on the user information A prediction program for causing a computer to execute.

Explanation of Signs

[0157] N network 10 Information providing device 20 Communication unit 30 Storage unit 31 User database 32 Model database 40 Control unit 41 Learning unit 42 Acquisition unit 43 Identification unit 44 Prediction unit 45 Providing unit 100 Terminal device

Claims

1. An acquisition unit that acquires user information entered in content provided to a user, the content being for inputting user information indicating the physical characteristics of the user; A prediction unit that predicts the timing of the user's menarche based on the user information; A provision unit that provides information according to the prediction result by the prediction unit and having, the acquisition unit acquires, as the user information, information indicating the form of the user's secondary sexual characteristics; the provision unit provides information regarding the form of the secondary sexual characteristics A prediction device characterized by this.

2. The acquisition unit acquires, as the user information, information indicating the body type of the user The prediction device according to claim 1, characterized by this.

3. The prediction unit identifies changes in the physical characteristics of the user based on the user information, and predicts the timing of the user's menarche based on the timing when the identified changes satisfy a predetermined condition The prediction device according to claim 1 or 2, characterized by this.

4. The prediction unit identifies the timing when the amount of change in the physical characteristics of the user is maximized, and sets the timing when a predetermined period has elapsed from the identified timing as the timing when the user's menarche occurs The prediction device according to claim 3, characterized by this.

5. The acquisition unit acquires user information indicating the height of the user, The prediction unit sets the timing when a predetermined period has elapsed from the timing when the amount of change in the height of the user is maximized as the timing when the user's menarche occurs The prediction device according to claim 4, characterized by this.

6. The acquisition unit acquires user information indicating the weight of the user, The prediction unit sets the timing when a predetermined period has elapsed from the timing when the amount of change in the weight of the user is maximized as the timing when the user's menarche occurs The prediction device according to claim 4 or 5, characterized by this.

7. The acquisition unit acquires, as the user information, information indicating the height and weight of the user, The prediction unit predicts the timing of the user's menarche based on a predetermined index calculated from the height and weight of the user The prediction device according to any one of claims 1 to 6, characterized by this.

8. After the amount of change in the height of the user reaches its maximum and the amount of change in the weight of the user reaches its maximum, the prediction unit sets the time when a predetermined period has elapsed since the time when the bone weight of the user estimated from the height and weight of the user satisfies a predetermined condition as the time when the menarche of the user occurs. The prediction device according to claim 7, characterized in that.

9. The prediction unit estimates characteristics related to the growth of the user based on the height and the weight, and sets the time when a period corresponding to the characteristics related to the growth of the user has elapsed since the time when the amount of change in the height of the user reaches its maximum as the time when the menarche of the user occurs. The prediction device according to claim 7 or 8, characterized in that.

10. The acquisition unit acquires user information indicating physical characteristics of the user measured at the same time of each year. The prediction device according to any one of claims 1 to 9, characterized in that.

11. The acquisition unit acquires information related to the secretions of the user. The prediction device according to any one of claims 1 to 10, characterized in that.

12. The acquisition unit acquires user information of a target user to be predicted for the time when the menarche occurs, The prediction unit predicts the time when the menarche of the target user occurs from the user information of the target user using a model that has learned the relationship between the user information of the user and the time of the menarche of the user. The prediction device according to any one of claims 1 to 11, characterized in that.

13. The providing unit provides information related to absorbent articles according to the prediction result. The prediction device according to any one of claims 1 to 12, characterized in that.

14. The providing unit distributes content corresponding to the physical characteristics of the user according to the prediction result. The prediction device according to any one of claims 1 to 12, characterized in that.

15. When the prediction result indicates that the menarche has started, the providing unit provides content for managing the menarche and menstruation. The prediction device according to claim 14, characterized in that.

16. When the prediction result indicates that the menarche has not started, the providing unit provides content for predicting the time when the menarche occurs. The prediction device according to claim 14, characterized in that.

17. The providing unit provides information related to absorbent articles according to the mode of the secondary sexual characteristics. The prediction device according to claim 1, characterized in that...

18. The prediction unit predicts the timing of the user's menarche based on the aspects of the secondary sexual characteristics. The prediction device according to claim 1 or 17, characterized in that...

19. An estimation unit that estimates the cognitive ability of the user based on the user information The prediction device according to any one of claims 1 to 13, comprising...

20. The prediction unit predicts the timing of the user's menarche based on the cognitive ability estimated by the estimation unit. The prediction device according to claim 19, characterized in that...

21. The providing unit provides information on absorbent articles according to the cognitive ability. The prediction device according to claim 19, characterized in that...

22. The providing unit provides information on the method of using absorbent articles according to the cognitive ability. The prediction device according to claim 19 or 21, characterized in that...

23. When the cognitive ability is equal to or greater than a predetermined threshold, the providing unit provides information on the method of using the absorbent article, where the amount of information on the method of using the absorbent article is less than the predetermined threshold. The prediction device according to claim 22, characterized in that...

24. When the cognitive ability is less than a predetermined threshold, the providing unit provides information on the method of using the absorbent article, where the amount of information on the method of using the absorbent article is equal to or greater than the predetermined threshold. The prediction device according to claim 22, characterized in that...

25. A prediction method executed by a prediction device, comprising: An acquisition step of acquiring the user information input to the content provided to the user, which is content for inputting user information indicating the physical characteristics of the user; A prediction step of predicting the timing of the user's menarche based on the user information; A providing step of providing information according to the prediction result of the prediction step including In the acquisition step, as the user information, information indicating the aspects of the user's secondary sexual characteristics is acquired, In the providing step, information on the aspects of the secondary sexual characteristics is provided The prediction method is characterized in that...

26. An acquisition procedure of acquiring the user information input to the content provided to the user, which is content for inputting user information indicating the physical characteristics of the user; A prediction procedure of predicting the timing of the user's menarche based on the user information; A providing procedure for providing information according to a prediction result by the prediction procedure and causing a computer to execute, the acquisition procedure acquires, as the user information, information indicating an aspect of the secondary sexual characteristics of the user, the providing procedure provides information regarding the aspect of the secondary sexual characteristics Prediction program.

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