Information processing device and application program

Abstract

An information processing device comprises: an information recording unit 11 that records information related to the menstruation of a user; and a treatment module providing unit 14 that provides, on the basis of the information recorded by the information recording unit 11 and in accordance with the symptoms of premenstrual syndrome of the user, one or more of a plurality of types of treatment modules that execute processing related to treatment based on non-drug therapy. The plurality of types of treatment modules include one or more treatment modules that execute processing based on psychological education, one or more treatment modules that execute processing based on cognitive reconstruction methods, and one or more treatment modules that execute processing based on relaxation methods. With this configuration, from among the plurality of types of treatment modules, a treatment module suitable for each user can be provided to the user in accordance with the recorded information.

Description

Information processing device and application program

[0001] The present invention relates to an information processing device and an application program, and is particularly suitable for use in an application program that supports the treatment of premenstrual syndrome (including premenstrual dysphoric disorder) through non-pharmacological therapy, and in an information processing device that implements the same.

[0002] Premenstrual syndrome (PMS) is a diverse range of mental and physical symptoms that occur during the late luteal phase, 3 to 10 days before menstruation, and are expected to lessen or disappear with the onset of menstruation. The symptoms mainly consist of mental symptoms (mood swings, irritability, depressed mood, etc.) and physical symptoms (abdominal bloating, fatigue, back pain, headache, edema, breast tenderness) caused by hormonal changes just before the start of menstruation. When mental symptoms are dominant and severe within PMS, it is called premenstrual dysphoric disorder (PMDD). In recent years, there has been a growing trend to take a more comprehensive view of premenstrual disorders, including PMS and PMDD, by referring to them collectively as PMDs (Premenstrual Disorders).

[0003] While non-pharmacological treatment is recommended for all PMDs, there are healthcare apps that encourage behavioral change in users by estimating the type and severity of PMS symptoms based on user information and providing advice to the user according to the estimation results (see, for example, Patent Document 1). Examples of user information disclosed include information on the menstrual cycle (log of menstrual days, or normal menstrual cycle or menstrual period, etc.) and user stress information.

[0004] In addition, there is also a therapeutic app that provides a patient with a treatment module for treating or preventing menstrual-associated symptoms at a predetermined timing of the menstrual cycle, or for treatment based on psychotherapy for self-care, based on information related to the user's menstrual cycle and records of symptoms accompanying the user's menstruation (see, for example, Patent Documents 2 and 3). Patent Documents 2 and 3 disclose that the user's menstrual-associated symptoms are clustered by statistical processing or AI processing of a symptom memory, which is a record including a plurality of items used for diagnosing menstrual-associated symptoms, and a treatment module corresponding to the cluster is provided.

[0005] Japanese Unexamined Patent Application Publication No. 2024-74305, Japanese Unexamined Patent Application Publication No. 2024-8761, Japanese Unexamined Patent Application Publication No. 2024-8906

[0006] An object of the present invention is to be able to provide a user with a treatment module suitable for each user.

[0007] In order to solve the above problems, in the present invention, there are provided an information recording unit that records information related to the user's menstruation, and a treatment module providing unit that provides one or more of a plurality of types of treatment modules that execute processing related to treatment based on non-drug therapy according to the symptoms of the user's premenstrual syndrome or the evaluation of the implementation after the implementation of treatment for a certain period, based on the information recorded by the information recording unit. The plurality of types of treatment modules include one or more treatment modules that execute processing based on psychoeducation, one or more treatment modules that execute processing based on cognitive restructuring methods, and one or more treatment modules that execute processing based on relaxation methods.

[0008] According to the present invention configured as described above, based on the information recorded regarding the user's menstruation, one or more treatment modules that execute processing based on psychoeducation, one or more treatment modules that execute processing based on cognitive restructuring methods, and one or more treatment modules that execute processing based on relaxation methods, it is possible to provide the user with a treatment module suitable for each user according to the recorded information from among a plurality of types of treatment modules.

[0009] This is a block diagram showing an example of the functional configuration of an information processing device according to the first embodiment. This is a diagram showing an example of the hardware configuration of an information processing device according to the first embodiment. This is a diagram schematically showing an example of information recorded in the situation memory unit according to the first embodiment. This is a diagram for explaining the prediction of the next menstrual period start date performed by the symptom prediction unit according to the first embodiment. This is a diagram for explaining the prediction of the symptom score performed by the symptom prediction unit according to the first embodiment. This is a diagram for explaining another example of operation of the treatment module providing unit according to the first embodiment. This is a block diagram showing an example of the functional configuration of an information processing device according to the second embodiment. This is a diagram for explaining an example of operation of the treatment module providing unit according to the second embodiment. This is a diagram showing an example of the functional configuration of an information processing device according to a modification of the second embodiment. This is a diagram for explaining an example of operation of the treatment module providing unit according to a modification of the second embodiment. This is a diagram showing an example of the functional configuration of an information processing device according to a modification of the second embodiment. This is a diagram for explaining an example of operation of the treatment module providing unit according to a modification of the second embodiment.

[0010] (First Embodiment) Hereinafter, one embodiment of the present invention will be described based on the drawings. Figure 1 is a block diagram showing an example of the functional configuration of the information processing device 10 according to the first embodiment. Figure 2 is a diagram showing an example of the hardware configuration of the information processing device 10 according to the first embodiment. The information processing device 10 is composed of terminals such as a personal computer, tablet, or smartphone. The information processing device 10 has an application program (hereinafter referred to as a therapeutic app) installed that supports the treatment of premenstrual syndrome by non-pharmacological therapy.

[0011] As shown in Figure 2, the information processing device 10 comprises a control unit 111, a storage unit 112, an input unit 113, and a display unit 114 as its hardware configuration. The control unit 111 is composed of a processor such as a microcomputer equipped with a CPU, RAM, and ROM, and operates according to the operating system and therapeutic application stored in the storage unit 112, and performs information processing using various data stored in the storage unit 112. In addition to the microcomputer, it may also be equipped with a DSP (Digital Signal Processor) or the like.

[0012] The storage unit 112 is composed of a computer-readable storage medium. For example, the storage unit 112 may include ROM, RAM, HDD (Hard Disk Drive), SSD (Solid State Drive), or semiconductor memory. Various programs executed by the control unit 111 are stored in the storage unit 112. Among these programs are therapeutic applications.

[0013] Furthermore, the storage unit 112 also stores various types of data, including data used in the processing of the control unit 111 and data generated by that processing. Among these various types of data are data for various types of therapeutic modules that perform processing related to non-pharmacological treatments. The storage unit 112 also stores data for various screens, including information provision screens for providing various information to the user and information input screens for the user to input various information.

[0014] The input unit 113 is composed of, for example, a keyboard, mouse, or touch panel, and supplies data to the control unit 111 in accordance with the user's operation input. The display unit 114 is composed of, for example, a liquid crystal display or an organic EL display, and displays information according to instructions input from the control unit 111.

[0015] The various types of therapeutic modules provided to the user include one or more therapeutic modules that perform psychoeducation-based processing, one or more therapeutic modules that perform cognitive restructuring-based processing, and one or more therapeutic modules that perform relaxation-based processing.

[0016] Therapeutic modules that perform psychoeducational processing include therapeutic modules related to disease education and therapeutic modules related to lifestyle guidance. Therapeutic modules that perform cognitive restructuring processing are modules that help users identify, verify, and modify maladaptive thought patterns, i.e., automatic thoughts. Therapeutic modules that perform relaxation techniques are modules that reduce the user's physical and mental tension.

[0017] Furthermore, the therapeutic modules are not limited to the examples given above and may include other therapeutic modules as well.

[0018] As shown in Figure 1, the information processing device 10 according to the first embodiment includes an information recording unit 11, a score calculation unit 12, a symptom prediction unit 13, and a treatment module provision unit 14 as the functional configuration of the control unit 111. The information processing device 10 according to the first embodiment also includes a storage unit 112, which includes a treatment module storage unit 101 and a status storage unit 102. The processing of functional blocks 11 to 14 is executed by the operation of a program including a treatment application stored in the storage unit 112, under the control of the control unit 111 shown in Figure 2.

[0019] The information recording unit 11 records information about the user's menstruation on a daily basis. For example, the information recording unit 11 displays an information input screen in the therapeutic application and records the information entered by the user through that screen in the status memory unit 102. For example, the information recording unit 11 records symptom-related information indicating information about the user's premenstrual syndrome symptoms in the status memory unit 102 on a daily basis, and also records menstruation-related information that makes it possible to identify the user's menstrual start date in the status memory unit 102 as needed. In this embodiment, as an example of symptom-related information, information indicating the type and degree (severity) of symptoms is recorded on a daily basis, and as an example of menstruation-related information, the user's menstrual start date is recorded as needed.

[0020] The types of symptoms recorded as symptom-related information include mental symptoms, physical symptoms, and symptoms related to the degree of impairment in social life. Mental symptoms include, for example, depressed mood, anxiety or tension, irritability, and anger. Physical symptoms include, for example, headaches, swelling, breast pain, muscle pain, drowsiness, and appetite. The degree of impairment in social life includes, for example, difficulties in work or school life, and relationships with others. The severity of symptoms can be expressed in four stages, for example, "none / mild / moderate / severe," but is not limited to this.

[0021] The type of symptom and its four-level severity can be selected by the user from a list presented by the treatment app on the information input screen. Multiple symptoms can be selected, and the appropriate severity level can be chosen for each symptom. To make symptom selection easier, the options that were most frequently selected in the symptom records up to the previous day may be displayed at the top of the screen.

[0022] Menstrual cycle-related information is recorded, for example, by having the user access the information input screen of the treatment app when their period begins, and recording the start date of their period.

[0023] The score calculation unit 12 calculates a daily symptom score, which quantifies the severity of symptoms, based on the symptom-related information recorded in the situation memory unit 102 by the information recording unit 11, and records the calculated symptom score in the situation memory unit 102, linking it to the symptom-related information. For example, the score calculation unit 12 calculates a single symptom score daily based on the severity of symptoms recorded daily in the situation memory unit 102 for each type of symptom. For example, numerical values ​​(e.g., any value from 0 to 10) are predetermined for each of the four severity levels, and the symptom score is calculated by uniformly adding up the defined numerical values ​​for the severity of all types of symptoms recorded in a day. Alternatively, a weighted average may be calculated by weighting the numerical values ​​of important symptom indicators in premenstrual syndrome (e.g., symptoms such as depression and anxiety used in the diagnosis of PMDD). Alternatively, different numerical values ​​may be predetermined depending on the combination of symptom type and the four severity levels.

[0024] Figure 3 is a schematic diagram showing an example of the information recorded in the situation memory unit 102. As shown in Figure 3, the situation memory unit 102 records on a daily basis one or more types of symptoms and their severity, and one symptom score calculated by the score calculation unit 12 from one or more numerical values ​​corresponding to the severity.

[0025] Here, we have described an example of calculating the symptom score for a specific day based only on numerical values ​​corresponding to the severity of each symptom as shown in the symptom-related information for that specific day, but we are not limited to this. For example, the symptom score may be calculated as the average value of numerical values ​​corresponding to the severity of each symptom as shown in the symptom-related information for a predetermined number of days, including the specific day and several days before and after it (e.g., ±2 days). In this case, a weighted average value may be calculated, with a stronger weight given to the numerical values ​​for days closer to the specific day. The predetermined number of days may be one day including only the specific day, or multiple days including several days before and after it.

[0026] The symptom prediction unit 13 predicts the start date of menstruation in the next menstrual cycle (hereinafter referred to as the next menstrual start date) based on the menstrual-related information recorded in the situation memory unit 102, and predicts the symptoms at a predetermined point in time retrospectively from the next menstrual start date based on the symptom-related information. In this embodiment, the symptom prediction unit 13 predicts the symptom score at a predetermined point in time based on past symptom scores for a predetermined number of days, including days that are retrospectively the same number of days from the next menstrual start date to the predetermined point in time, starting from a past menstrual start date identified based on the menstrual-related information.

[0027] Here, we will explain how the next menstrual period start date is predicted. The symptom prediction unit 13 calculates the menstrual cycle from multiple past menstrual period start dates recorded in the status memory unit 102, and predicts the next menstrual period start date from that menstrual cycle. Figure 4 is a diagram illustrating this prediction of the next menstrual period start date. For example, if the status memory unit 102 records the previous menstrual period start date as 2025 / M1 / D1 and the menstrual period start date before that as 2025 / M2 / D2, the symptom prediction unit 13 calculates the menstrual cycle duration (DMC) as DMC = {2025 / M1 / D1 - 2025 / M2 / D2} days. The symptom prediction unit 13 then predicts the next menstrual period start date as the date obtained by adding the menstrual cycle duration (DMC) to the last menstrual period start date (2025 / M1 / D1).

[0028] Furthermore, if the start date of menstruation has been recorded three or more times since the start of using the treatment app, the number of days in the menstrual cycle (DMC1, DMC2, DMC3, ...) can be calculated for each period, such as the first and second menstruations, the second and third menstruations, the third and fourth menstruations, and so on. The average of these calculated menstrual cycle days (DMC1, DMC2, DMC3, ...) can then be used as the average menstrual cycle length, and the date obtained by adding the average menstrual cycle length to the last menstrual start date can be used to predict the start date of the next menstruation.

[0029] Furthermore, to avoid a period in which fewer than two menstrual start dates are recorded after the start of using the therapeutic app, the user may input the most recent two or more menstrual start dates from the information input screen when starting to use the therapeutic app, and the information recording unit 11 may record this information in the status storage unit 102. Alternatively, when starting to use the app, the information on menstrual start dates recorded by another app may be input into the therapeutic app of this embodiment. The method of data linkage between apps is arbitrary. For example, there are methods of linkage via a removable recording medium or via an internet server.

[0030] If fewer than two menstrual start dates have been recorded since the app was started, the symptom prediction unit 13 predicts the next menstrual start date using the menstrual start dates recorded in advance when the treatment app was started, as described above. Even if two or more menstrual start dates have been recorded, the menstrual start dates recorded in advance when the app was started may also be used to calculate the average menstrual cycle length as described above. By additionally using information on menstrual start dates before the app was started, it is possible to improve the accuracy of the average menstrual cycle length.

[0031] As another example, the app could predict the next menstrual period start date based on the user's typical menstrual cycle length and the start date of their last menstrual period. That is, when the user starts using the app, they input their most recent menstrual period start date and their typical menstrual cycle length. If fewer than two menstrual period start dates have been recorded since the user started using the app, the symptom prediction unit 13 predicts the next menstrual period start date as the date obtained by adding the typical menstrual cycle length previously recorded when the user started using the treatment app to the start date of their last menstrual period.

[0032] Next, we will explain the prediction of the symptom score at a predetermined point in time, retrospectively calculated from the next menstrual period start date. Figure 5 is a diagram illustrating this symptom score prediction. As shown in Figure 5, the predetermined point in time, retrospectively calculated from the next menstrual period start date, is the present time when the treatment app is being used, and is x days before the predicted next menstrual period start date as described above. The number of days from this next menstrual period start date to the predetermined point in time is the retrospective days DR. The symptom prediction unit 13 predicts the symptom score at the predetermined point in time based on the symptom scores recorded in the situation memory unit 102 for a number of days retrospectively calculated from a past menstrual period start date recorded in the situation memory unit 102, which is the same number of days retrospective days DR. A past menstrual period start date is, for example, the most recent menstrual period start date from the present (M1 / D1 / 2025).

[0033] When predicting the symptom score at a predetermined point in time, the symptom score for the day obtained by going back the same number of days (DR) from the start of the last menstrual period may be used as the symptom score at that point in time. Alternatively, the statistical value of the symptom score for a predetermined number of days, including the day from which the score was taken and a few days before and after it (for example, ±2 days), may be used as the symptom score at that point in time. (For example, a simple average value or a weighted average value where the symptom score for days closer to the day from which the score was taken is given a stronger weight.) The predetermined number of days may be a single day including only a specific day, or multiple days including several days before and after it.

[0034] Furthermore, if there is no record of a symptom score on a day that is the same number of days retrospectively as the number of days retrospective DR from the start of the last menstrual period, a specific fixed value (for example, a value determined by referring to the general progression of symptoms) may be used to predict the symptom score at a given time.

[0035] If there are multiple past menstrual start dates recorded in the status memory unit 102, the symptom prediction unit 13 may predict the symptom score at a predetermined time as a statistical value of multiple past symptom scores for a predetermined number of days, including a date that is the same number of days retrospectively as the number of days retrospectively DR from each of the multiple past menstrual start dates (for example, a simple average or a weighted average in which the symptom score is given a stronger weight the closer the menstrual start date is to the predetermined time).

[0036] The treatment module provision unit 14 provides the user with one or more treatment modules from among the multiple types of treatment modules stored in the treatment module storage unit 101, according to the symptom score prediction result by the symptom prediction unit 13. Here, the treatment module provision unit 14 determines which treatment module to provide to the user at a predetermined time point, according to the symptom score at that time point predicted by the symptom prediction unit 13.

[0037] Providing a therapeutic module to a user means prompting the user to execute the therapeutic module. For example, the therapeutic module provisioning unit 14 displays a list of therapeutic modules that it has decided to provide to the user on the screen of the therapeutic application. Alternatively, it may display an icon on the screen of the therapeutic application to instruct the user to execute the therapeutic module.

[0038] The treatment module to be provided to the user is determined as follows: For example, the symptom prediction unit 13 predicts the symptom score at a predetermined time point, and uses a specific threshold to classify the symptoms into either "severe" or "mild." The threshold can be a fixed value (for example, the median between the minimum and maximum symptom scores). Alternatively, the threshold may be varied according to each user's symptom score. The treatment module provision unit 14 selects one or more predetermined treatment modules according to the result of the binary classification of the symptoms.

[0039] As an example, a set of treatment modules to be provided when symptoms are severe (multiple treatment modules designed for severe premenstrual syndrome symptoms) and a set of treatment modules to be provided when symptoms are mild (multiple treatment modules designed for mild premenstrual syndrome symptoms) are predetermined, and one or more treatment modules are selected from the treatment module set corresponding to the classification result and provided to the user. The algorithm for how many treatment modules are selected from the relevant treatment module set and how can be arbitrarily determined. For example, it is possible to randomly select a predetermined fixed number of treatment modules. In this case, it is possible to avoid selecting the same treatment module that was selected the previous day. Alternatively, rules can be set to vary the type and number of treatment modules provided depending on the number of days that have passed since the start of app use.

[0040] As explained in detail above, according to the first embodiment, based on the symptom-related information and menstrual-related information recorded regarding the user's menstruation, the user can be provided with a treatment module suitable for each user from among multiple types of treatment modules, including one or more treatment modules that perform psychoeducation-based processing, one or more treatment modules that perform cognitive restructuring-based processing, and one or more treatment modules that perform relaxation-based processing.

[0041] In the above embodiment, an example was described in which a severity level of four stages, "none / mild / moderate / severe," is recorded for each type of symptom, but the system is not limited to this. For example, a Visual Analogue Scale (VAS) value may be recorded for each type of symptom. The VAS is a visual scale that indicates the degree of a symptom, with "no symptoms" being 0 and "the maximum imaginable severity" being 100. For example, the information recording unit 11 may display a scale on the information input screen that allows the user to select one of several values ​​from 0 to 100 for the degree of the symptom, and record the selected VAS in the situation memory unit 102. Alternatively, instead of recording a severity level for each type of symptom, only one VAS indicating the strength of the symptom may be recorded. In this case, this single VAS is used as the symptom score.

[0042] Furthermore, while the above embodiment describes an example in which the user's menstrual start date is recorded as menstrual-related information, the system is not limited to this. For example, the information recording unit 11 may record information indicating "menstruation" on a daily basis during the menstrual period. If "menstruation" information is recorded every day during the menstrual period, the symptom prediction unit 13 may treat the day on which "menstruation" is first recorded as the "menstrual start date" if "menstruation" has not been recorded for a certain period of time in the past (for example, 10 days or more), and the "menstruation" record continues for a certain period of time or longer (for example, 3 days or more).

[0043] Alternatively, the information recording unit 11 may record, on a daily basis, menstrual blood-related information indicating the status of the user's menstrual blood as menstrual cycle-related information. For example, the amount of menstrual blood may be recorded in four levels ("none", "little", "normal", "heavy"), etc. In this case, the symptom prediction unit 13 identifies, as the menstrual start date, the date corresponding to the change in the presence or absence of menstrual blood based on the past menstrual blood-related information recorded daily by the information recording unit 11, calculates the menstrual cycle from the identified past multiple menstrual start dates, and may predict the next menstrual start date from the menstrual cycle. For example, when, starting from a state where "none" has been recorded for a certain period in the past, something other than "none" is recorded for the first time and the recording other than "none" continues for three days or more, the date when something other than "none" is first recorded may be treated as the date corresponding to the change in the presence or absence of menstrual blood. Note that the presence or absence of menstrual blood may be recorded as either "none" or "present".

[0044] As another example, the information recording unit 11 may record, as menstrual cycle-related information, medication information indicating the medication status of hormonal agents such as OC (Oral Contraceptives) and LEP (Low-dose Estrogen Progestin) that the user is taking. OC is an oral contraceptive mainly taken for contraceptive purposes. LEP is a low-dose estrogen-progestin combination drug mainly taken for the treatment of dysmenorrhea and endometriosis. Since it has an effect of suppressing ovulation and irregular bleeding may occur, there is a possibility that the menstrual cycle cannot be accurately predicted from the menstrual start date and the recording of menstrual blood. For such hormonal agent users, the next menstrual start date may be predicted based on the medication status of the hormonal agent.

[0045] For example, when the user starts using the therapeutic app, the information recording unit 11 displays an information input screen for the user to input medication information indicating the status of hormone medication. If the user is taking hormone medication, the user is asked to input (1) the name of the medication being taken, or either the medication cycle or the number of days between doses, and (2) the number of days in the current medication cycle (the number of days elapsed since the start of medication after the most recent medication break). The entered medication information is then recorded in the status memory unit 102. The medication name may be selected from a list. Alternatively, the therapeutic app may have pre-stored information on commercially available medications and information on the medication cycle and number of days between doses specified for each medication. The user may then be asked to (1) select the name of the medication being taken, and (2) input the number of days in the current medication cycle. Based on the selected medication name, the therapeutic app may automatically identify the medication cycle and number of days between doses. In this case, the symptom prediction unit 13 predicts the start date of the next medication cycle based on the hormone medication information recorded by the information recording unit 11 and treats this as the start date of the next menstrual period.

[0046] Furthermore, if a user starts taking hormone medication while using the therapeutic app, the information recording unit 11 inputs and records the medication information at that time. In this case, the symptom prediction unit 13 may treat the date the hormone medication was started as the date the menstrual period began.

[0047] Furthermore, in the above embodiment, an example was described in which the score calculation unit 12 calculates a single symptom score based on the severity of symptoms recorded for each type of symptom by the information recording unit 11, but the system is not limited to this. For example, the score calculation unit 12 may calculate a type-specific symptom score for each type of symptom based on the severity of symptoms recorded for each type of symptom by the information recording unit 11. Here, the system may calculate a symptom score only for specific symptoms (for example, depression or psychiatric symptoms).

[0048] In this case, the symptom prediction unit 13 may predict the statistical value (e.g., average value) of the past symptom scores by type for a predetermined number of days including the day that is the same number of days back from the past menstrual start date (e.g., the last menstrual start date) as the number of days back as the symptom score at a predetermined time point. Alternatively, when there are a plurality of past menstrual start dates recorded in the situation memory unit 102, the statistical value (simple average value or weighted average value) of the past symptom scores by type for a predetermined number of days including the day that is the same number of days back from each of the plurality of past menstrual start dates as the number of days back may be predicted as the symptom score at a predetermined time point.

[0049] As another example, the score calculation unit 12 may calculate a classified symptom score for each category classified according to the type of symptom based on the degree of the symptom recorded for each type of symptom by the information recording unit 11. For example, after classifying the symptoms input by the user into categories such as "mental symptoms", "physical symptoms", and "degree of social life impairment", the symptom score may be calculated for each category.

[0050] In this case, the symptom prediction unit 13 may predict the statistical value (e.g., average value) of the past classified symptom scores for a predetermined number of days including the day that is the same number of days back from the past menstrual start date as the number of days back as the symptom score at a predetermined time point. Alternatively, when there are a plurality of past menstrual start dates recorded in the situation memory unit 102, the statistical value (simple average value or weighted average value) of the past classified symptom scores for a predetermined number of days including the day that is the same number of days back from each of the plurality of past menstrual start dates as the number of days back may be predicted as the symptom score at a predetermined time point.

[0051] Also, in the above embodiment, an example of providing the treatment module on a daily basis has been described, but it is not limited to this. For example, the treatment modules to be executed by the user during a predetermined period may be provided collectively. In this case, the treatment module providing unit 14 determines the treatment modules to be provided to the user during a predetermined period including a predetermined time point according to the prediction result of the symptoms by the symptom prediction unit 13, and provides the determined treatment modules to the user.

[0052] Figure 6 is a diagram illustrating an example of the operation of the treatment module provisioning unit 14 in this case. Here, an example of operation is shown when the predetermined period is one week. In Figure 6, predicting the symptom score recorded in the status memory unit 102 as the symptom score at a predetermined time (present) is the same as in the example shown in Figure 5, for a date that is the same number of days retrospective DR as the last menstrual start date (M1 / D1 / 2025) recorded in the status memory unit 102.

[0053] In the example shown in Figure 6, the treatment module provision unit 14 determines a schedule for providing one or more treatment modules for one week from a predetermined point in time, according to the symptom score predicted by the symptom prediction unit 13 as described above, and presents it to the user. In this case, the treatment module provision unit 14 displays the determined provision schedule on the screen and presents it to the user. Alternatively, the treatment module provision unit 14 may sequentially display icons for the treatment modules to be provided daily during the week on the screen of the treatment application, according to the determined provision schedule.

[0054] The method for determining the provision schedule of treatment modules can be arbitrarily defined. For example, a standard provision schedule for treatment modules can be defined in advance, and this information can be stored in the treatment module storage unit 101. In addition, the symptom prediction unit 13 uses a specific threshold to classify the severity of symptoms into three categories: "severe / moderate / mild" based on the symptom score predicted at a predetermined time. Furthermore, a group of treatment modules whose provision frequency is increased when the symptoms are "severe" (treatment modules suitable for severe symptoms) and a group of treatment modules whose provision frequency is decreased (treatment modules not suitable for severe symptoms) are predetermined, as are the treatment modules whose provision frequency is increased when the symptoms are "mild" (treatment modules suitable for mild symptoms) and a group of treatment modules whose provision frequency is decreased (treatment modules not suitable for mild symptoms). The treatment module provision unit 14 then adjusts the provision frequency of each treatment module defined in the standard provision schedule according to the result of the three-category symptom classification, and provides the user with the adjusted treatment module provision schedule.

[0055] Furthermore, in the above embodiment, an example was described in which the score calculation unit 12 calculates the symptom score on a daily basis and records the calculated symptom score in the situation memory unit 102 in association with the daily symptom-related information, but the system is not limited to this. For example, the situation memory unit 102 may only record the daily symptom-related information, and when the symptom prediction unit 13 predicts the symptom score at a predetermined point in time, it may calculate the symptom score for the retrospective date from the symptom-related information for a predetermined number of days, including the retrospective date as described in Figure 5.

[0056] Furthermore, the system may also include an information display unit that displays symptom-related information and menstrual-related information recorded by the information recording unit 11 on the screen in a way that is accessible to the user. This information display unit may also display symptom scores on the screen in a way that is accessible to the user. In addition, the system may further include a function that allows the user to refer to this displayed information and order a change to the treatment module presented by the treatment module provision unit 14.

[0057] (Second Embodiment) Next, a second embodiment will be described based on the drawings. Figure 7 is a block diagram showing an example of the functional configuration of the information processing device 20 according to the second embodiment. The hardware configuration of the information processing device 20 according to the second embodiment is the same as in Figure 2. The information processing device 20 is also composed of terminals such as a personal computer, tablet, or smartphone. A therapeutic application is also installed on the information processing device 20.

[0058] As shown in Figure 7, the information processing device 20 according to the second embodiment includes an information recording unit 21, a treatment response evaluation unit 23, and a treatment module provision unit 24 as the functional configuration of the control unit 111. The information processing device 10 according to the first embodiment includes a treatment module storage unit 201 and a treatment response storage unit 202 as the storage unit 112. The processing of functional blocks 21 to 24 is executed by the operation of a program including a treatment application stored in the storage unit 112, under the control of the control unit 111 shown in Figure 2.

[0059] The therapeutic module storage unit 201 stores data for multiple types of therapeutic modules as described in the first embodiment, as well as data indicating a standard method (standard provision schedule) for providing therapeutic modules to users. The provision schedule defines one or more types or categories of therapeutic modules to be provided daily over a predetermined period. The predetermined period is, for example, one cycle (e.g., 28 days) or multiple cycles of a standard menstrual cycle. Alternatively, the therapeutic module storage unit 201 may store different standard provision schedules for each of the 24 to 38 days generally considered to be normal menstrual cycles.

[0060] The information recording unit 21 records treatment response information in the treatment response storage unit 202, which indicates the treatment effect based on the user's self-assessment of the treatment effect on premenstrual syndrome symptoms after the user has used the treatment module provided by the treatment module provision unit 24 for a certain period of time. The certain period can be, for example, the number of days of one cycle of the user's menstrual cycle. The number of days in the user's menstrual cycle can be entered in advance by the user through an information input screen displayed by the information recording unit 21 and recorded in the treatment response storage unit 202. Alternatively, it may be the number of days in the predicted menstrual cycle as described in the first embodiment.

[0061] For example, when a user's menstrual cycle ends, the information recording unit 21 displays an information input screen for inputting whether the symptoms of premenstrual syndrome have improved overall compared to the previous menstrual period, as a result of the user executing the treatment modules provided daily by the treatment module provision unit 24 during that menstrual cycle. The information on the treatment effect that the user self-evaluates and inputs through this screen is recorded in the status memory unit 102 as treatment response information. The user can select one of three options for the treatment effect: "improvement / no change / worsening".

[0062] The treatment response evaluation unit 23 evaluates the treatment response, which indicates the therapeutic effect on symptoms after the user has used the treatment module provided by the treatment module provision unit 24 for a certain period of time, based on the treatment response information recorded by the information recording unit 21. In this embodiment, the treatment response evaluation unit 23 uses the treatment response information recorded in the treatment response storage unit 202, which indicates improvement, no change, or worsening, as the evaluation of the treatment response for a certain period of time.

[0063] The treatment module provision unit 24 determines the treatment modules to be provided to the user during the next specified period (i.e., the treatment module provision schedule during the next specified period) based on the treatment response evaluated by the treatment response evaluation unit 23. The method for determining the treatment module provision schedule can be arbitrarily determined. For example, depending on the evaluation result of improvement / no change / worsening, the number of times each treatment module is provided as defined in the standard provision schedule is adjusted, and the adjusted treatment module provision schedule is provided to the user.

[0064] Figure 8 is a diagram illustrating an example of the operation of the treatment module supply unit 24. In the example shown in Figure 8, the supply schedule of treatment modules defined for one standard menstrual cycle (28 days) is shown. Here, the menstrual cycle is divided into four one-week sub-cycles, and the number of times treatment modules are supplied in each sub-cycle is shown. Figure 8 shows the categories of treatment modules, and the number of times they are supplied is defined for each category.

[0065] The treatment module provisioning unit 24 selects treatment modules belonging to each category from the treatment module storage unit 201 a number of times defined for each sub-cycle and provides them to the user. The algorithm for determining which treatment modules to provide to the user on which day in each sub-cycle can be arbitrarily determined. For example, it is possible to randomly select a number of treatment modules defined in the provisioning schedule for each category. In this case, it is possible not to select the same treatment module that was selected the previous day. Alternatively, it is possible to decide in advance which treatment modules to provide to the user on which day.

[0066] If the number of days in the menstrual cycle (28 days) defined in the standard delivery schedule does not match the number of days in the user's menstrual cycle, the treatment module delivery unit 14 may adjust the number of days in the delivery schedule to match the user's menstrual cycle. The method of adjustment is arbitrary. In a typical example, if the user's menstrual cycle is 4 days longer, the number of days in each sub-cycle of the delivery schedule should be increased by 1 day.

[0067] The above describes a method for providing therapeutic modules based on a standard provision schedule. In contrast, the therapeutic module provision unit 24 adjusts the number of times each therapeutic module is provided, as defined in the standard provision schedule, according to the evaluation results of therapeutic response by the therapeutic response evaluation unit 23, using an adjustment coefficient. As an example, as shown in Figure 8, if the evaluation result of therapeutic response is "improvement," the adjustment coefficient is set to 1.5; if it is "no change," the adjustment coefficient is set to 1.0; and if it is "worsening," the adjustment coefficient is set to 0.5. The number of times the therapeutic module is provided in each sub-cycle is adjusted by multiplying the standard number of times by the adjustment coefficient.

[0068] The method for evaluating treatment response described above is merely an example and is not limited thereto. For example, treatment response may be evaluated based on the symptom score described in the first embodiment. Figure 9 shows an example of the functional configuration of the information processing device 20A in this case. In Figure 9, components with the same reference numerals as those shown in Figures 1 and 7 have the same function, so redundant explanations are omitted here. Note that the information recording unit 11 can record at least symptom-related information, and the recording of menstruation-related information can be omitted.

[0069] In the modified example shown in Figure 9, the treatment response evaluation unit 23A evaluates the treatment response based on changes in past symptom scores calculated by the score calculation unit 12 and recorded in the situation memory unit 102. For example, the treatment response evaluation unit 23A evaluates the symptom score of the immediately preceding cycle as "improvement" if it has decreased compared to the symptom score of the previous cycle, as "no change" if there is no change, and as "worsening" if it has increased.

[0070] In the above embodiment, an example was described in which the fixed period of time between evaluating treatment response is set to the number of days in a menstrual cycle, and the provision schedule for one menstrual cycle is determined for each menstrual cycle, but the embodiment is not limited to this. For example, the fixed period of time between evaluating treatment response may be set to the number of days in a small cycle, and the provision schedule for one small cycle may be determined at the end of each small cycle.

[0071] Furthermore, while the above embodiment describes an example of adjusting the provision schedule of the treatment module based on the evaluation results of treatment response, which shows the therapeutic effect on the symptoms of premenstrual syndrome, the embodiment is not limited to this. For example, the provision schedule of the treatment module may be adjusted based on the evaluation results of the effectiveness of the treatment module on the symptoms. Figure 10 shows an example of the functional configuration of the information processing device 30 in this case. In Figure 10, components with the same reference numerals as those shown in Figure 7 have the same function, so redundant explanations are omitted here.

[0072] The information processing device 30 shown in Figure 10 includes an information recording unit 31, an effectiveness evaluation unit 33, and a treatment module provision unit 34 as the functional configuration of the control unit 111. The information processing device 30 shown in Figure 10 also includes a storage unit 112, which consists of a treatment module storage unit 201 and an effectiveness storage unit 302. The processing of functional blocks 31 to 34 is executed by the operation of a program, including a treatment application, stored in the storage unit 112, under the control of the control unit 111 shown in Figure 2.

[0073] The information recording unit 31 records effectiveness information in the effectiveness storage unit 302, indicating the effectiveness of the treatment module provided by the treatment module provision unit 34 for the symptoms of premenstrual syndrome. For example, after a certain period of treatment (e.g., the number of days in the menstrual cycle or the number of days in the sub-cycle), the information recording unit 31 displays an information input screen for inputting the effectiveness of the treatment module. Based on the user's self-assessment of whether the treatment module contributed to the improvement of the symptoms of premenstrual syndrome as a result of the user executing multiple treatment modules provided daily by the treatment module provision unit 34 during that certain period, the user inputs the effectiveness for each treatment module for the symptoms. Effectiveness is provided as one of three options from which the user can select "effective / effect unknown / ineffective". The information recording unit 31 records the input effectiveness information in the effectiveness storage unit 302.

[0074] The effectiveness evaluation unit 33 evaluates the effectiveness of each therapeutic module for the symptoms provided by the therapeutic module provision unit 34, based on the effectiveness information recorded in the effectiveness storage unit 302 by the information recording unit 31. In this embodiment, the effectiveness of the therapeutic module is evaluated as effective, effect unknown, or ineffective, as indicated by the effectiveness information recorded in the effectiveness storage unit 302.

[0075] The treatment module provision unit 34 determines the treatment modules to be provided to the user during the next specified period (i.e., the treatment module provision schedule during the next specified period) based on the evaluation results from the effectiveness evaluation unit 33. The method for determining the treatment module provision schedule can be arbitrarily determined. For example, depending on the evaluation result of effective / effect unknown / ineffective, the number of times each treatment module is provided as defined in the standard provision schedule is adjusted, and the adjusted treatment module provision schedule is provided to the user.

[0076] For example, as shown in Figure 11, the treatment module delivery schedule is adjusted so that treatment modules evaluated as "effective" are provided at a standard frequency, treatment modules evaluated as "effect unknown" are provided more frequently than the standard frequency, and treatment modules evaluated as "ineffective" are provided less frequently than the standard frequency. Note that the above adjustment method is just one example. For example, the standard frequency could be used for evaluation results of "effective" and "effect unknown," and the number of deliveries could be reduced for evaluation results of "ineffective."

[0077] Alternatively, the effectiveness of each treatment module may be evaluated on a five-point scale (for example, effective / somewhat effective / effect unknown / somewhat ineffective / ineffective), and this five-point evaluation may be classified into one of three categories: effective / effect unknown / ineffective.

[0078] Furthermore, while this explanation describes an example where the fixed period for evaluating the effectiveness of the therapeutic module is set to the number of days in a menstrual cycle or a sub-cycle, and the provision schedule is determined for one fixed period per menstrual cycle or sub-cycle, the system is not limited to this. For example, the fixed period for evaluating the effectiveness of the therapeutic module may be set to one day, and the therapeutic module provision unit 34 may determine which therapeutic module to provide to the user the following day based on the evaluation results from the effectiveness evaluation unit 33.

[0079] Furthermore, in addition to the effectiveness of the therapeutic module, the provision schedule may be adjusted based on the user's level of proficiency with the therapeutic module. Figure 12 shows an example of the functional configuration of the information processing device 30A in this case. In the configuration example shown in Figure 12, the information recording unit 31A has the function of recording the effectiveness information of the therapeutic module after each treatment period, and further has the function of recording proficiency level information, which indicates the user's self-assessment of their level of proficiency with respect to the therapeutic module provided by the therapeutic module provision unit 34A, after each treatment period.

[0080] In other words, after a certain period of treatment has been performed, the information recording unit 31A displays an information input screen for inputting the effectiveness of the treatment module, as well as an information input screen for inputting the level of mastery of the treatment module. Based on the user's self-assessment, the user inputs the level of mastery for each treatment module as a result of executing multiple treatment modules provided daily by the treatment module provision unit 34A during that certain period. The level of mastery can be selected by the user from two options, for example, "mastered" or "not mastered". The information recording unit 31A records the mastery level information entered in this way in the effectiveness storage unit 302A.

[0081] The treatment module provision unit 34A determines the treatment modules to be provided to the user during the next specified period (i.e., the treatment module provision schedule for the next specified period) based on the effectiveness of the treatment modules evaluated by the effectiveness evaluation unit 33 and the level of mastery information recorded in the effectiveness storage unit 302A by the information recording unit 31A. The method for determining the treatment module provision schedule can be arbitrarily determined. For example, as shown in Figure 13, the number of times each treatment module is provided as defined in the standard provision schedule is adjusted according to the combination of an evaluation result of "effective / effect unknown / ineffective" and an evaluation result of "mastered / not mastered," and the adjusted treatment module provision schedule is provided to the user.

[0082] Alternatively, the level of mastery of each treatment module may be evaluated on a four-point scale (for example, not mastered at all / not mastered to some extent / mastered to some extent / mastered), and this four-point scale may be classified into a binary category of "mastered" or "not mastered."

[0083] The functions or processes described above can be combined and applied as appropriate. Examples of configurations that can be applied to this embodiment are summarized below.

[0084] [Configuration 1] An information processing device comprising: an information recording unit for recording information about the user's menstruation; and a treatment module providing unit that provides one or more of a plurality of treatment modules for performing processing related to non-pharmacological therapy, based on the information recorded by the information recording unit, in accordance with the user's symptoms of premenstrual syndrome or an evaluation of the implementation of such treatment after a certain period of time, wherein the plurality of treatment modules include one or more treatment modules for performing processing based on psychoeducation, one or more treatment modules for performing processing based on cognitive restructuring, and one or more treatment modules for performing processing based on relaxation techniques.

[0085] [Configuration 2] The information recording unit has a function to record symptom-related information on a daily basis that shows information regarding the user's premenstrual syndrome symptoms, and to record menstruation-related information that makes it possible to identify the user's menstruation start date. It further comprises a symptom prediction unit that predicts the next menstruation start date, which is the start date of menstruation in the next menstrual cycle, based on the menstruation-related information, and predicts the symptoms at a predetermined point in time retrospectively from the next menstruation start date based on the symptom-related information. The treatment module providing unit determines a treatment module to be provided to the user at the predetermined point in time or during a predetermined period including the predetermined point in time, according to the symptom prediction result by the symptom prediction unit. This is the information processing device according to Configuration 1.

[0086] [Configuration 3] The information processing device according to Configuration 2, wherein the information recording unit has a function to record the user's menstrual start date as menstrual-related information, and the symptom prediction unit calculates a menstrual cycle from a plurality of past menstrual start dates recorded by the information recording unit and predicts the next menstrual start date from the said menstrual cycle.

[0087] [Configuration 4] The information recording unit has a function to record menstrual blood-related information indicating the user's menstrual blood status on a daily basis as menstrual-related information, and the symptom prediction unit identifies the day corresponding to the switch between the presence and absence of menstruation as the menstrual start date, based on the past menstrual blood-related information recorded daily by the information recording unit, calculates the menstrual cycle from the identified past menstrual start dates, and predicts the next menstrual start date from the said menstrual cycle, as described in Configuration 2.

[0088] [Configuration 5] The information processing device according to Configuration 2, wherein the information recording unit has a function to record medication information indicating the status of the user's medication use as menstrual-related information, and the symptom prediction unit predicts the start date of the next medication cycle as the next menstrual start date based on the medication information recorded by the information recording unit.

[0089] [Configuration 6] The information processing device according to any one of Configurations 2 to 5, further comprising a score calculation unit that calculates a daily symptom score that quantifies the severity of the symptoms based on the symptom-related information recorded by the information recording unit, the symptom prediction unit predicts the symptom score at a predetermined time based on past symptom scores for a predetermined number of days, including days that are the same number of days retroactive from the start date of the next menstruation to the predetermined time, starting from the past menstruation start date identified based on the menstruation-related information, and the treatment module provision unit determines the treatment module to be provided to the user according to the symptom score at the predetermined time predicted by the symptom prediction unit.

[0090] [Configuration 7] The information processing apparatus according to Configuration 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information, and the score calculation unit calculates one symptom score as the daily symptom score based on the severity of the symptoms recorded for each type of symptom by the information recording unit.

[0091] [Configuration 8] The information processing apparatus according to Configuration 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information, the score calculation unit calculates a symptom score for each type of symptom as a daily symptom score based on the severity of the symptoms recorded for each type of symptom by the information recording unit, and the symptom prediction unit predicts a statistical value of the past symptom scores for each type of symptom for a predetermined number of days, including the day that is the same number of days retrospectively from the start date of past menstruation, as the symptom score at the predetermined time.

[0092] [Configuration 9] The information processing apparatus according to Configuration 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information; the score calculation unit calculates a classification-specific symptom score for each category classified according to the type of symptom, as a daily symptom score, based on the severity of the symptoms recorded by the information recording unit for each type of symptom; and the symptom prediction unit predicts the statistical value of the past classification-specific symptom scores for a predetermined number of days, including the day that is the same number of days retrospectively from the start date of past menstruation, as the symptom score at the predetermined time.

[0093] [Configuration 10] The information processing device according to any one of Configurations 6 to 9, characterized in that the symptom prediction unit predicts a statistical value of multiple past symptom scores for a predetermined number of days, each including a day that is the same number of days retrospectively from each of the multiple past menstrual start dates, as the symptom score at the predetermined time.

[0094] [Configuration 11] The information processing apparatus according to Configuration 1, further comprising a treatment response evaluation unit that evaluates the treatment response, which shows the therapeutic effect on the symptoms after the user has performed the treatment module provided by the treatment module provision unit for a certain period of time, based on the information recorded by the information recording unit, wherein the treatment module provision unit determines the treatment module to be provided to the user during the next certain period of time based on the treatment response evaluated by the treatment response evaluation unit.

[0095] [Configuration 12] The information recording unit has a function to record treatment response information that indicates the treatment effect based on the user's self-assessment of the treatment effect on the symptoms after the user has performed the treatment module provided by the treatment module provision unit for a certain period of time, and the treatment response evaluation unit evaluates the treatment response based on the treatment response information recorded by the information recording unit, as described in Configuration 11.

[0096] [Configuration 13] The information processing device according to Configuration 11, wherein the information recording unit has a function to record symptom-related information on a daily basis that shows information regarding the user's premenstrual syndrome symptoms, and further comprises a score calculation unit that calculates a daily symptom score that quantifies the severity of the symptoms based on the symptom-related information recorded by the information recording unit, and the treatment response evaluation unit evaluates the treatment response based on past changes in the symptom score calculated by the score calculation unit.

[0097] [Configuration 14] The information processing apparatus according to Configuration 1, further comprising an effectiveness evaluation unit that evaluates the effectiveness of the treatment module provided by the treatment module provision unit against the above symptoms after the treatment has been performed for a certain period of time, based on the information recorded by the information recording unit, wherein the treatment module provision unit determines the treatment module to be provided to the user during the next certain period of time based on the evaluation results by the effectiveness evaluation unit.

[0098] [Configuration 15] The information recording unit further has a function to record proficiency information indicating the user's self-assessment of the level of proficiency with respect to the treatment module provided by the treatment module provision unit after each treatment implementation over a certain period of time, and the information processing device according to Configuration 14, characterized in that the treatment module provision unit determines which treatment module to provide to the user during the next certain period of time based on the effectiveness of the treatment module evaluated by the effectiveness evaluation unit and the proficiency information recorded by the information recording unit.

[0099] [Configuration 16] The information processing device according to Configuration 14, wherein the above-mentioned fixed period is one day, and the above-mentioned treatment module provisioning unit determines the treatment module to be provided to the above-mentioned user on the following day based on the evaluation results by the above-mentioned effectiveness evaluation unit.

[0100] [Configuration 17] The information processing apparatus according to Configuration 2, further comprising an information display unit that displays the symptom-related information and menstruation-related information recorded by the information recording unit on a screen so that the user can view it. [Configuration 18] The information processing apparatus according to Configuration 17, further comprising an information recording unit that records information indicating the type and degree of the symptom on a daily basis as symptom-related information, a score calculation unit that calculates a daily symptom score that quantifies the degree of the symptom based on the symptom-related information recorded by the information recording unit, and the information display unit that further displays the symptom score on a screen so that the user can view it.

[0101] [Configuration 19] An application program comprising: an information recording unit for recording information about the user's menstruation; and a treatment module providing unit that provides one or more of a plurality of treatment modules for performing processing related to non-pharmacological therapy, based on the information recorded by the information recording unit, in accordance with the user's symptoms of premenstrual syndrome or an evaluation of the implementation of such treatment after a certain period of time, wherein the plurality of treatment modules include one or more treatment modules for performing processing based on psychoeducation, one or more treatment modules for performing processing based on cognitive restructuring, and one or more treatment modules for performing processing based on relaxation techniques.

[0102] Furthermore, the above embodiments are merely examples of how the present invention may be implemented, and the technical scope of the invention should not be interpreted as being limited by them. In other words, the present invention can be implemented in various ways without departing from its gist or its main features.

[0103] 10, 20, 20A, 30, 30A Information Processing Device 11, 21, 31 Information Recording Unit 12 Score Calculation Unit 13 Symptom Prediction Unit 14, 24, 34, 34A Treatment Module Provisioning Unit 23, 23A Treatment Response Evaluation Unit 33 Effectiveness Evaluation Unit 101, 201 Treatment Module Storage Unit 102 Situation Storage Unit 202 Treatment Response Storage Unit 302, 302A Effectiveness Storage Unit ?

Claims

1. An information processing device comprising: an information recording unit for recording information about a user's menstruation; and a treatment module providing unit that, based on the information recorded by the information recording unit, provides one or more of a plurality of treatment modules that perform processing related to non-pharmacological treatment in accordance with the user's symptoms of premenstrual syndrome or an evaluation of the implementation of treatment after a certain period of time, wherein the plurality of treatment modules include one or more treatment modules that perform processing based on psychoeducation, one or more treatment modules that perform processing based on cognitive restructuring, and one or more treatment modules that perform processing based on relaxation techniques.

2. The information recording unit has a function to record symptom-related information on a daily basis that shows information relating to the user's premenstrual syndrome symptoms, and to record menstruation-related information that makes it possible to identify the user's menstruation start date, and further comprises a symptom prediction unit that predicts the next menstruation start date, which is the start date of menstruation in the next menstrual cycle, based on the menstruation-related information, and predicts the symptoms at a predetermined point in time retrospectively from the next menstruation start date based on the symptom-related information, and the treatment module providing unit determines a treatment module to be provided to the user at the predetermined point in time or during a predetermined period including the predetermined point in time, according to the symptom prediction result by the symptom prediction unit, as described in claim 1.

3. The information processing apparatus according to claim 2, wherein the information recording unit has a function to record the user's menstrual start date as menstrual-related information, and the symptom prediction unit calculates a menstrual cycle from a plurality of past menstrual start dates recorded by the information recording unit and predicts the next menstrual start date from the said menstrual cycle.

4. The information processing device according to claim 2, wherein the information recording unit has a function to record daily menstrual blood-related information indicating the status of the user's menstrual bleeding as the menstrual-related information, and the symptom prediction unit identifies the day corresponding to the transition between the presence and absence of menstruation as the menstrual start date, based on the past menstrual blood-related information recorded daily by the information recording unit, calculates the menstrual cycle from the identified past menstrual start dates, and predicts the next menstrual start date from the said menstrual cycle.

5. The information processing device according to claim 2, wherein the information recording unit has a function to record medication information indicating the status of the user's medication use as menstrual-related information, and the symptom prediction unit predicts the start date of the next medication cycle as the next menstrual start date based on the medication information recorded by the information recording unit.

6. The information processing apparatus according to any one of claims 2 to 5, further comprising a score calculation unit that calculates a daily symptom score that quantifies the severity of the symptoms based on the symptom-related information recorded by the information recording unit, the symptom prediction unit predicts the symptom score at a predetermined time based on past symptom scores for a predetermined number of days, including days that are the same number of days retroactive from the start date of a past menstruation identified based on the menstrual-related information to the start date of the next menstruation, and the treatment module provision unit determines the treatment module to be provided to the user according to the symptom score at the predetermined time predicted by the symptom prediction unit.

7. The information processing apparatus according to claim 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information, and the score calculation unit calculates one symptom score as the daily symptom score based on the severity of the symptoms recorded for each type of symptom by the information recording unit.

8. The information processing apparatus according to claim 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information; the score calculation unit calculates a symptom score for each type of symptom as a daily symptom score based on the severity of the symptoms recorded for each type of symptom by the information recording unit; and the symptom prediction unit predicts a statistical value of the past symptom scores for each type of symptom for a predetermined number of days, including a day that is the same number of days retrospectively from the start date of past menstruation as the number of days retrospectively, as the symptom score at the predetermined time.

9. The information processing apparatus according to 6, characterized in that the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information; the score calculation unit calculates a categorized symptom score for each category classified according to the type of symptom, as a daily symptom score, based on the severity of the symptoms recorded by the information recording unit for each type of symptom; and the symptom prediction unit predicts a statistical value of the past categorized symptom scores for a predetermined number of days, including a day that is the same number of days retrospectively from the start date of past menstruation as the number of days retrospectively, as the symptom score at the predetermined time.

10. The information processing device according to claim 6, characterized in that the symptom prediction unit predicts a statistical value of multiple past symptom scores for a predetermined number of days, each including a day that is the same number of days retrospectively from each of the multiple past menstrual start dates, as the symptom score at the predetermined time.

11. The information processing apparatus according to claim 1, further comprising a treatment response evaluation unit that evaluates the treatment response, which shows the therapeutic effect on the symptoms after the user has used the treatment module provided by the treatment module provision unit for a certain period of time, based on the information recorded by the information recording unit, wherein the treatment module provision unit determines the treatment module to be provided to the user for the next certain period of time based on the treatment response evaluated by the treatment response evaluation unit.

12. The information processing apparatus according to claim 11, wherein the information recording unit has a function of recording treatment response information that indicates the treatment effect based on the user's self-assessment of the treatment effect on the symptoms after the user has performed the treatment module provided by the treatment module provision unit for a certain period of time, and the treatment response evaluation unit evaluates the treatment response based on the treatment response information recorded by the information recording unit.

13. The information processing apparatus according to claim 11, wherein the information recording unit has a function to record symptom-related information on a daily basis that shows information regarding the user's premenstrual syndrome symptoms, and further comprises a score calculation unit that calculates a daily symptom score that quantifies the severity of the symptoms based on the symptom-related information recorded by the information recording unit, and the treatment response evaluation unit evaluates the treatment response based on past changes in the symptom score calculated by the score calculation unit.

14. The information processing apparatus according to claim 1, further comprising an effectiveness evaluation unit that evaluates the effectiveness of the treatment module provided by the treatment module provision unit against the above symptoms after the treatment has been performed for a certain period of time, based on the information recorded by the information recording unit, wherein the treatment module provision unit determines which treatment module to be provided to the user during the next certain period of time based on the evaluation results by the effectiveness evaluation unit.

15. The information recording unit further has a function to record proficiency information indicating the user's self-assessment of the level of proficiency with respect to the treatment module provided by the treatment module provision unit after each treatment implementation over a certain period of time, and the information processing device according to 14, characterized in that the treatment module provision unit determines which treatment module to provide to the user during the next certain period of time based on the effectiveness of the treatment module evaluated by the effectiveness evaluation unit and the proficiency information recorded by the information recording unit.

16. The information processing apparatus according to claim 14, wherein the above-mentioned period is one day, and the above-mentioned treatment module provisioning unit determines the treatment module to be provided to the above-mentioned user on the following day based on the evaluation results by the above-mentioned effectiveness evaluation unit.

17. The information processing apparatus according to claim 2, further comprising an information display unit that displays the symptom-related information and menstruation-related information recorded by the information recording unit on a screen in a manner that can be viewed by the user.

18. The information processing apparatus according to 17, wherein the information recording unit records information indicating the type and severity of the symptoms on a daily basis as symptom-related information, and further comprises a score calculation unit that calculates a daily symptom score that quantifies the severity of the symptoms based on the symptom-related information recorded by the information recording unit, and the information display unit further displays the symptom score on a screen in a manner that can be viewed by the user.

19. An application program comprising: an information recording unit for recording information about the user's menstruation; and a treatment module providing unit that, based on the information recorded by the information recording unit, provides one or more of several types of treatment modules that perform processing related to non-pharmacological treatment in accordance with the user's symptoms of premenstrual syndrome or an evaluation of the implementation of treatment after a certain period of time, wherein the several types of treatment modules include one or more treatment modules that perform processing based on psychoeducation, one or more treatment modules that perform processing based on cognitive restructuring, and one or more treatment modules that perform processing based on relaxation techniques.

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