Headache cause determination system, headache cause determination method, program, and data structure

The headache cause determination system assesses user responses to identify light as a cause of migraines and recommends appropriate lenses and retailers, effectively addressing the challenge of light-induced migraines.

JP7662641B2Active Publication Date: 2025-04-15MITSUI CHEMICALS INC
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Patent Information

Application Number
JP2022536455
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Priority Date
2020-07-17
Filing Date
2021-07-15
Publication Date
2025-04-15
Estimated Expiration
2041-07-15

AI Technical Summary

Technical Problem

Existing systems lack the capability to effectively determine whether migraine symptoms in users are caused by light, making it difficult to recommend appropriate lenses for relief.

Method used

A headache cause determination system that uses a computer with a CPU, memory unit, and determination unit to assess user responses to multiple questions, determining if light is a cause of migraine symptoms and recommending suitable lenses and retailers based on user location.

Benefits of technology

Enables users to determine if light is causing their migraine symptoms and provides recommendations for lenses and retailers, effectively addressing the challenge of light-induced migraines.

✦ Generated by Eureka AI based on patent content.

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Abstract

A headache cause determination system for determining the presence or absence of the possibility that light is causing a migraine headache symptom of a user having the migraine headache symptom, the system comprising a computer. The computer is provided with a CPU, a storage unit, and a determining unit implemented by the CPU. The storage unit stores data that makes it possible to determine, on the basis of question information related to the migraine headache symptom of the user and information about a response of the user to the question information, whether there is the possibility that the user's migraine headache symptom is caused by light. The determining unit, on the basis of the information about a response of the user to the question information and the data stored in the storage unit, determines whether there is the possibility that the user's migraine headache symptom is caused by light, and produces an output.
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Description

[Technical field]

[0001] The present disclosure relates to a headache cause determination system, a headache cause determination method, a program, and a data structure. [Background technology]

[0002] Conventionally, there is a technique disclosed in Japanese Patent Application Laid-Open No. 2000-325840, which relates to a system for tinting a lens based on coloring information related to the coloring of the lens. Summary of the Invention [Problem to be solved by the invention]

[0003] It is desirable to select the appropriate material, hue, type of coating, etc. for the lens according to the purpose and mental and physical condition of the user who wears the eyeglasses incorporating the lens. For example, it is desirable to be able to select eyeglass lenses that can alleviate migraines for people who suffer from various headache symptoms. Migraines have been reported by the WHO as a disease that shortens healthy lifespan, and lens processing that meets the needs of users with such diseases can be said to be a social issue necessary for extending healthy lifespan.

[0004] Migraines are caused by a variety of factors, and may be caused by a combination of factors, making it difficult to identify the cause. If light is recognized as one of the causes of migraines, a system is needed that supports or suggests the selection of lenses that are suitable for migraines.

[0005] The objective of the present disclosure is to provide a headache cause determination system, program, and data structure that can determine whether the cause of a user's migraine symptoms is light by taking into account answers to multiple questions. [Means for solving the problem]

[0006] The headache cause determination system of the present disclosure is a headache cause determination system that determines whether or not the cause of a migraine symptom of a user who has migraine symptoms is possibly light-based, and is equipped with a computer, the computer having a CPU, a memory unit, and a determination unit executed by the CPU, the memory unit stores data that can determine whether or not the cause of the user's migraine symptoms is possibly light-based based on question information regarding the user's migraine symptoms and answer information by the user to the question information, and the determination unit determines whether or not the cause of the user's migraine symptoms is possibly light-based based on the answer information by the user to the question information and the data stored in the memory unit, and outputs the result.

[0007] In addition, the headache cause determination system disclosed herein is a headache cause determination system in which the memory unit further stores lens information regarding ophthalmic lenses that are recommended for use in preventing or reducing the migraine symptoms when the determination unit determines that the cause of the user's migraine symptoms may be light-based, and the determination unit outputs the determination result when it determines that the cause of the user's migraine symptoms may be light-based, and determines and outputs the ophthalmic lenses that are recommended for use in preventing or reducing the user's migraine symptoms from the lens information.

[0008] In addition, the headache cause determination system of the present disclosure is a headache cause determination system in which the memory unit further stores user information including information about the user's place of residence and retailer information about stores that sell eye lenses recommended for use in preventing or reducing the user's migraine symptoms, and when determining and outputting the eye lenses recommended for use in preventing or reducing the user's migraine symptoms, the determination unit determines and outputs candidate stores that sell the eye lenses recommended for use in preventing or reducing the user's migraine symptoms based on the information about the user's place of residence and the retailer information.

[0009] In addition, the headache cause determination system of the present disclosure is a headache cause determination system in which the question information is a question regarding the state in which the user is experiencing migraine symptoms, a question regarding the cause of the user's migraine symptoms, or a question regarding the state before and after the user's migraine symptoms are experienced.

[0010] Furthermore, the headache cause determination system of the present disclosure is a headache cause determination system in which the questions regarding the state in which the user is experiencing migraine symptoms are primarily about whether, when the user has migraine symptoms, light can worsen the migraine symptoms, or whether the user feels that light is dazzling or uncomfortable.

[0011] In addition, the headache cause determination system of the present disclosure is a headache cause determination system in which the questions regarding the state in which the user is experiencing migraine symptoms further include a question purporting to be about whether light can cause pain in or around the eye when the user has migraine symptoms.

[0012] In addition, the headache cause determination system of the present disclosure is a headache cause determination system in which the question regarding the cause of the user's migraine symptoms is primarily about whether light can cause migraine symptoms.

[0013] In addition, the headache cause determination system of the present disclosure is a headache cause determination system in which the question regarding the user's condition before and after the onset of migraine symptoms is primarily about whether the user becomes sensitive to light between the time when a migraine symptom subsides and the onset of the next migraine symptom.

[0014] In addition, the headache cause determination method disclosed herein is a headache cause determination method that causes a computer to execute processing to output data that can determine whether or not the cause of the user's migraine symptoms is likely to be light-related based on question information regarding the user's migraine symptoms and information on the user's response to the question information, which is stored in a memory unit of a computer, and to determine whether or not the cause of the user's migraine symptoms is likely to be light-related based on the user's response to the question information and the data stored in the memory unit.

[0015] In addition, the headache cause determination method disclosed herein is a headache cause determination method in which the memory unit further stores user information including information about the user's place of residence and retailer information about stores selling ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, and when determining and outputting ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, determines and outputs candidate stores selling ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms based on the information about the user's place of residence and the retailer information.

[0016] In addition, the headache cause determination method disclosed herein is a headache cause determination method, in which the question information is a question regarding the state in which the user is experiencing migraine symptoms, a question regarding the cause of the user's migraine symptoms, or a question regarding the state before and after the user's migraine symptoms are experienced.

[0017] In addition, the program disclosed herein is a program for causing a computer to function as a judgment unit in a headache cause determination system having a memory unit and a judgment unit that determines and outputs data capable of determining whether or not the cause of the user's migraine symptoms may be light-related based on question information regarding the user's migraine symptoms and information on the user's response to the question information, which is stored in the memory unit of the computer, and whether or not the cause of the user's migraine symptoms may be light-related based on the information on the user's response to the question information and the data stored in the memory unit.

[0018] In addition, the program disclosed herein is a program in which the memory unit further stores user information including information about the user's place of residence and retailer information about stores that sell eye lenses recommended for use in preventing or reducing the user's migraine symptoms, and when determining and outputting the eye lenses recommended for use in preventing or reducing the user's migraine symptoms, the determination unit determines and outputs candidate stores that sell the eye lenses recommended for use in preventing or reducing the user's migraine symptoms based on the information about the user's place of residence and the retailer information.

[0019] In addition, the program disclosed herein is a program in which the question information is a question regarding the state in which the user is experiencing migraine symptoms, a question regarding the cause of the user's migraine symptoms, or a question regarding the state before and after the user's migraine symptoms occur.

[0020] In addition, the data structure of the present disclosure includes question information regarding a user's migraine symptoms, answer information from the user to the question information, and data that enables a determination as to whether or not the cause of the user's migraine symptoms may be light-based based on the question information and the answer information, and is a data structure that enables a computer to determine and output whether or not the cause of the user's migraine symptoms may be light-based based on the answer information from the user to the question information and the data.

[0021] In addition, the data structure of the present disclosure further includes user information including information regarding the user's place of residence, and retailer information regarding stores that sell ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, and when determining and outputting ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, the data structure determines and outputs candidate stores that sell ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms based on the information regarding the user's place of residence and the retailer information.

[0022] In addition, the data structure of the present disclosure is a data structure in which the question information is a question regarding the state in which the user is experiencing migraine symptoms, a question regarding the cause of the user's migraine symptoms, or a question regarding the state before and after the user's migraine symptoms occur. Effect of the Invention

[0023] The headache cause determination system, headache cause determination method, program, and data structure disclosed herein have the advantage of being able to determine whether the cause of a user's migraine symptoms is light, taking into account the answers to multiple questions. [Brief description of the drawings]

[0024] [Figure 1] FIG. 1 is a block diagram showing the system configuration of a headache cause determination system according to a first embodiment. [Diagram 2] FIG. 1 is a schematic block diagram of a computer that functions as a headache cause determination device according to a first embodiment. [Diagram 3] FIG. 10 is a diagram illustrating an example of question information and answer information according to the first embodiment; [Figure 4A] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4B] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4C] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4D] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4E] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4F] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4G] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Figure 4H] FIG. 4 is a diagram showing an example of a screen of an input interface of a terminal. [Diagram 5] FIG. 2 is a diagram showing an example of a processing routine executed by the headache cause determination device of the first embodiment. [Figure 6A] 13A and 13B are diagrams illustrating an example of question information and answer information according to the second embodiment. [Figure 6B] 13A and 13B are diagrams illustrating an example of question information and answer information according to the second embodiment. [Figure 7A] 13A and 13B are diagrams illustrating an example of question information and answer information according to the third embodiment. [Figure 7B] 13A and 13B are diagrams illustrating an example of question information and answer information according to the third embodiment. [Figure 8] FIG. 13 is a block diagram showing the system configuration of a headache cause determination device according to a fourth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] The present embodiment will be described in detail below. The headache cause determination device 200 of this embodiment determines and outputs the cause of a headache based on the input answer information. Note that the user of this embodiment is, for example, a customer who has a migraine symptom and is about to purchase lenses at a store that sells glasses.

[0026] <System Configuration According to the First Embodiment>

[0027] Fig. 1 is a block diagram showing an example of the system configuration of a headache cause determination system 10 according to the first embodiment. As shown in Fig. 1, in the headache cause determination system 10, a plurality of terminals and a headache cause determination device 200 are connected via a network N.

[0028] The terminal 100 shown in FIG. 1 is a device such as a smartphone terminal owned by a user or a tablet terminal assigned to a store that sells glasses. The terminal 100 has an interface as shown in FIGS. 4A to 4H described later. The interface displays question information related to the user's migraine symptoms, inputs answer information to the question information, and inputs user information including information on the user's place of residence. The interface also displays information about ophthalmic lenses received from the headache cause determination device 200 and retailer information about a store that sells the ophthalmic lenses. The terminal 100 transmits answer information and user information together with identification information assigned to the terminal 100 to the headache cause determination device 200. The identification information is identification information of the terminal 100 and identification information of the user who has acquired the information.

[0029] The headache cause determination device 200 configured as shown in Figure 1 can be configured by a computer including a CPU, a RAM, and a ROM that stores programs for executing each processing routine described below and various data.

[0030] For example, the headache cause determination device 200 can be realized by a computer 250 shown in Fig. 2. The computer 250 includes a CPU 251, a memory 252 as a temporary storage area, and a non-volatile storage unit 220. The computer 250 also includes an input / output interface (I / F) 254 to which an input / output device or the like (not shown) is connected, and a read / write (R / W) unit 255 that controls reading and writing of data from and to a recording medium. The computer 250 also includes a network I / F 256 that is connected to a network such as the Internet. The CPU 251, the memory 252, the storage unit 220, the input / output I / F 254, the R / W unit 255, and the network I / F 256 are connected to one another via a bus 257.

[0031] The storage unit 220 can be realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, etc. The storage unit 220 as a storage medium stores data that can determine whether or not the cause of the user's migraine symptoms may be light-based, and a program for causing the computer 250 to function. The CPU 251 reads the program from the storage unit 220, expands it in the memory 252, and sequentially executes the processes contained in the program.

[0032] The above is a description of an example of the electrical configuration of the computer in FIG.

[0033] Here, the storage unit 220 stores question information, answer information, data, user information of the user, lens information, and retailer information. The question information is information about the user's migraine symptoms. The answer information is information to the question information input by the user. The data is a program that can determine whether or not the cause of the user's migraine symptoms may be light-based. The lens information is information about ophthalmic lenses that are recommended for use in preventing or reducing migraine symptoms. The retailer information is information about stores that sell ophthalmic lenses that are recommended for use in preventing or reducing the user's migraine symptoms.

[0034] After the determination unit 230, which will be described later, determines whether or not the cause of the user's migraine symptoms is likely to be light-based, all of the answer information and user information may be stored in the storage unit 220. Alternatively, part of the answer information and part of the user information may be stored, and the other answer information and user information may be deleted or anonymized before being stored. The answer information and user information may also be encrypted before being stored. The information stored in the storage unit 220 includes information that is temporarily stored. That is, the answer information and user information input by the user are temporarily stored, and the determination unit 230 determines whether or not the cause of the user's migraine symptoms is possibly due to light based on the information. After the determination by the determination unit 230, the answer information and user information used in the determination are deleted.

[0035] The question information regarding the user's migraine symptoms will be described with reference to FIG. The question information includes questions about the state in which the user's migraine symptoms are occurring, questions about the cause of the user's migraine symptoms, and questions about the state before and after the user's migraine symptoms occur.

[0036] The questions regarding the user's migraine condition are primarily questions about whether, when the user has a migraine, light can make the migraine symptoms worse, or whether the user finds light dazzling or uncomfortable. For example, among the questions shown in Figure 3, question 1, "When you have a migraine, does light ever make your migraine symptoms worse?" and "When you have a migraine, does light ever feel dazzling or uncomfortable?" are relevant.

[0037] The questions regarding the user's migraine condition further include a question regarding whether light can cause pain in or around the eye when the user has a migraine. For example, among the question information shown in FIG. 3, the question 3 "When you have a migraine, does light ever cause pain in or around your eyes?" corresponds to this question.

[0038] The question regarding the cause of the user's migraine symptoms is primarily a question regarding whether light can cause migraine symptoms. For example, among the question information shown in FIG. 3, question 4, "Can light cause migraine symptoms?", corresponds to this question.

[0039] The questions regarding the user's condition before and after the onset of a migraine episode further include a question regarding whether the user experiences light sensitivity between the time when a migraine episode subsides and the onset of the next migraine episode. For example, among the question information shown in FIG. 3, question 5, "Do you ever become sensitive to light before you get a migraine?", corresponds to this question.

[0040] The question information is not limited to that shown in FIG. 3, but other question information may be used, and it is not necessary to provide all of the information shown in FIG.

[0041] As shown in FIG. 3, as the answer information to the question information input by the user, information of "yes" or "no" is stored as the answer to question 1. Furthermore, information of "yes" or "no" is stored as the answer to question 2. Furthermore, information of "yes" or "no" is stored as the answer to question 3. Furthermore, information of "yes" or "no" is stored as the answer to question 4. Furthermore, information of "yes" or "no" is stored as the answer to question 5. Here, in FIG. 3, "○ (circle)" is entered in the column of the selected answer of "yes" or "no", and the columns other than the selected answer are left blank. For example, in this example, it is stored that "yes" was selected only for question 1, and "no" was selected for the other questions 2 to 5. In addition, the answer information in FIG. 3 that has a circle (○) indicates that it has been selected by the user.

[0042] Examples of data that can determine whether the cause of a user's migraine symptoms may be light-related include a program that determines that the cause of a user's migraine symptoms may be light-related if any of the answer information to the questions shown in Figure 3 is "yes," as will be described later.

[0043] Although not shown, the user information includes, for example, information regarding the user's place of residence, information regarding age, information regarding sex, information regarding occupation, information regarding living environment, and the like. The user information is not limited to the above, but may include other information, such as a doctor's prescription.

[0044] Also, a customer database may be provided that records the history of user information. Response information is also recorded in the customer database.

[0045] Examples of lens information regarding eye lenses that are recommended for use in preventing or reducing migraine symptoms include information regarding eye lenses that selectively block light at around 480 nm, although this information is not shown in the figure.

[0046] Here, eye lenses that selectively block light at around 480 nm have been shown to be effective against photosensitive migraines. The mammalian retina contains three types of cones, S, M, and L cones, rods, and a newly discovered photoreceptor called intrinsically photosensitive retinal ganglion cells (ipRGCs), which have peak sensitivities to light with wavelengths of 420 nm (S cones), 530 nm (M cones), 560 nm (L cones), 500 nm (rods), and 480 nm (ipRGCs), respectively. For example, since ipRGCs respond strongly to blue component light with a wavelength of around 480 nm, it is believed that by using eyewear such as glasses or sunglasses that have an optical material with low transmittance of blue component light in the wavelength range (2) above, such as the optical material disclosed herein, the user can prevent and alleviate photosensitive migraines and eyestrain, etc.

[0047] In addition, the lens information stored in the memory unit 220 may include eye lenses that are recommended for use to prevent or reduce migraine symptoms, as well as eye lenses that selectively cut light around 460 nm for digital device users and eye lenses that cut other wavelengths.

[0048] Store information regarding a store that sells eye lenses that are recommended for use to prevent or reduce the user's migraine symptoms includes the store's name, address, and contact information (telephone number, email address, etc.), although not shown.

[0049] Below, we will explain each processing unit in the headache cause determination device 200 in Fig. 1. Functionally, the headache cause determination device 200 includes a collection unit 210, a storage unit 220, a determination unit 230, and a transmission unit 240, as shown in Fig. 1.

[0050] The collecting unit 210 acquires the answer information and the user information input from the terminal. In addition, the collecting unit 210 may read the GPS (Global Positioning System) information of the terminal even if the information on the user's place of residence among the user information is not input or is input.

[0051] The determination unit 230 determines whether or not the cause of the user's migraine symptoms is likely to be light-related based on the user's response information to the question information and the data stored in the memory unit 220, and outputs the result. Specifically, when the determination unit 230 determines that the cause of the user's migraine symptoms may be light-based, it outputs the determination result. Then, from the lens information stored in the storage unit 220, it determines an ophthalmic lens that selectively blocks light around 480 nm as an ophthalmic lens recommended for use in preventing or reducing the user's migraine symptoms, and outputs the result to the terminal by the transmission unit 240.

[0052] Furthermore, when determining and outputting the ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, the determination unit 230 determines candidate stores that sell the ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms based on information about the user's place of residence and the retailer information stored in the storage unit 220. Then, the determination result is output to the terminal 100 by the transmission unit 240. It is preferable that the determined candidates are stores located near the user's place of residence or workplace.

[0053] Here, the determination as to whether or not the cause of the user's migraine symptoms may be light-related is made if any of the answer information for each question information shown in Figure 3 is "yes," so that it is determined that the cause of the user's migraine symptoms may be light-related.

[0054] In addition, the determination of whether the cause of the user's migraine symptoms may be light-based is not limited to the case where it is determined that the cause of the user's migraine symptoms may be light-based when at least one of the answer information of the question information shown in FIG. 3 is "yes", and a weighting may be set for each question. For example, questions 1 to 3 may be determined to be light-based when at least one of the answer information is "yes", and questions 4 and 5 may be determined to be light-based when both the answer information are "yes". Also, even if the answer information of any of questions 1 to 3 is "yes", it may be determined that the cause of the user's migraine symptoms may be light-based only when the answer information of question 4 or question 5 is "yes".

[0055] The transmission unit 240 transmits information about the ophthalmic lens and information about candidate stores that sell the ophthalmic lens as a result of the determination made by the determination unit 230 regarding the identification information to the terminal 100 to which the identification information has been assigned. The transmitted information about the ophthalmic lens and information about candidate stores that sell the ophthalmic lens are displayed on the interface of the terminal 100. Here, it is preferable that the displayed store candidates are displayed in order of proximity to the user's place of residence, for example.

[0056] Next, an example of a screen of the interface of the terminal will be described with reference to Figures 4A to 4H. As shown in Figures 4A to 4H, the interface of the terminal is an interface such as a touch panel that allows the user to input each item.

[0057] In the interface screen shown in Fig. 4A, the user can select either an affirmative "Yes" or a negative "No" in response to the question "Do you have migraines?" If the user selects "No", a screen is displayed that recommends eye lenses that selectively block light around 460 nm based on lens information, depending on whether the user uses a personal computer or other factors based on the user information. On the other hand, if "Yes" is selected as shown in Fig. 4A, the screen transitions to the interface screen in Fig. 4B. Here, the selected item is shown in white text on the drawing.

[0058] In the interface screen shown in Fig. 4B, question 1 of the question information is displayed as "When you have migraine symptoms, does light sometimes worsen your migraine symptoms?", and the user selects either "Yes" which is affirmative or "No" which is negative. At this time, the answer information is stored in the storage unit 220. In this example, a case where "No" is selected by the user will be described, but even if "Yes" is selected, the interface screen transitions to that of Fig. 4C, just as in the case where "No" is selected.

[0059] In the interface screen shown in FIG. 4C, question 2 of the question information is displayed as "Does light cause pain in or around the eye when you have a migraine?", and the user selects either "Yes" which is affirmative or "No" which is negative. At this time, the answer information is stored in the storage unit 220. In this example, the case where the user selects "Yes" will be described. Then, the screen transitions to the next interface screen in FIG. 4D.

[0060] In the interface screen shown in Fig. 4D, question 3 of the question information is displayed as "Do you ever feel that light is dazzling or uncomfortable when you have migraine symptoms?", and the user selects either "Yes" which is affirmative or "No" which is negative. At this time, the answer information is stored in the storage unit 220. In this example, the case where the user selects "Yes" will be described. Then, the screen transitions to the next interface screen in Fig. 4E.

[0061] In the interface screen shown in FIG. 4E, question 4 of the question information is displayed as "Does light ever cause migraine symptoms?", and the user selects either "Yes" which is affirmative or "No" which is negative. At this time, the answer information is stored in the storage unit 220. In this example, the case where the user selects "Yes" will be described. Then, the screen transitions to the next interface screen in FIG. 4F.

[0062] In the interface screen shown in FIG. 4F, question 5 of the question information is displayed as "Do you ever become sensitive to light before a migraine headache occurs?", and the user selects either "Yes" which is affirmative or "No" which is negative. At this time, the answer information is stored in the storage unit 220. In this example, a case where the user selects "No" will be described. Then, the screen transitions to the next interface screen in FIG. 4G.

[0063] The interface screen shown in FIG. 4G displays the result determined by the determination unit 230, such as "We recommend lenses for photosensitive migraine sufferers," along with a list of candidate stores that sell eye lenses that are recommended for use to prevent or reduce the user's migraine symptoms, based on information about the user's place of residence.

[0064] Moreover, if the answer information for all of questions 1 to 5 is negative, that is, "No," the interface screen transitions from the interface screen shown in FIG. 4F to the interface screen shown in FIG. 4H, not the interface screen shown in FIG. 4G. The interface screen shown in Figure 4H displays a message such as "We recommend blue light blocking lenses," recommending eye lenses that selectively block light around 460 nm for digital device users, along with a list of potential stores that sell the eye lenses based on information about the user's place of residence.

[0065] Here, as described above, the determination of whether or not the cause of the user's migraine symptoms may be light-based is made in such a way that if any one of the answer information for the question information shown in the figure is affirmative, "Yes," it is determined that the cause of the user's migraine symptoms may be light-based. Therefore, if "Yes" is selected in the middle of answering questions 1 to 5, the display of the questions may be terminated at that stage, and the screen may transition to the interface screen of FIG. 4G.

[0066] Furthermore, the display of the questions is not limited to the interface screens shown in FIGS. 4B to 4F, and for example, questions 1 to 5 may be displayed simultaneously.

[0067] <Operation of the First Embodiment>

[0068] 5 is a diagram showing an example of a processing routine executed by the headache cause determination device 200. The operation of the headache cause determination device 200 will be described with reference to FIG.

[0069] In step S100, the collection unit 210 collects user information input via the interface screen of the terminal 100. After acquiring the user information, the process proceeds to the next step S102.

[0070] In step S102, a question as to whether or not the user has a migraine symptom is displayed on the interface screen of the terminal 100 (see FIG. 4A), and the process then proceeds to the next step S104.

[0071] In step S104, the collection unit 210 collects answers to the questions displayed in step S102 described above, and determines whether the answer information is "yes", i.e., whether the user has migraine symptoms. If the user has migraine symptoms, the process proceeds to the next step S106.

[0072] In step S106, the five questions are displayed on the interface screen of the terminal 100 (see Figs. 4B, 4C, 4D, 4E, and 4F), and the process proceeds to the next step S108.

[0073] In step S108, it is determined whether or not all five questions have been answered. If it is determined that all five questions have been answered, the process proceeds to the next step S110, and if it is not determined that all five questions have been answered, the process continues with step S106.

[0074] In step S110, the collection unit 210 collects answer information to the question information displayed in step S106, and determines whether or not any of the answer information includes an answer of "Yes." If any of the answer information includes an answer of "Yes," the process proceeds to the next step S112.

[0075] In step S112, the result of recommending ophthalmic lenses for patients with photosensitive migraine and candidate stores that sell the ophthalmic lenses based on the user information are displayed (see FIG. 4G). Then, the process ends.

[0076] On the other hand, if it is determined in step S104 that the user is not a user with migraine symptoms, the process proceeds to step S114, where a result of recommending ophthalmic lenses other than ophthalmic lenses for photosensitive migraine patients based on the user information and candidate stores selling the ophthalmic lenses are displayed (see FIG. 4H). Also, if it is determined in step S110 that there is not even one answer of "Yes", the process similarly proceeds to step S114, where a result of recommending ophthalmic lenses other than ophthalmic lenses for photosensitive migraine patients and candidate stores selling the ophthalmic lenses are displayed (see FIG. 4H). Then, the process ends.

[0077] As described above, the headache cause determination system 10 according to the first embodiment can determine whether the cause of the user's migraine symptoms is light, taking into account the answers to a number of questions. Then, it can present ophthalmic lenses recommended for the user and stores that sell the ophthalmic lenses.

[0078] <System Configuration According to the Second Embodiment>

[0079] The second embodiment will be described with reference to Figs. 6A and 6B. In the first embodiment described above, if "Yes" is selected for any one of questions 1 to 5, it is determined that the cause of the user's migraine symptoms may be light-based, and ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms are determined. In the second embodiment, instead of selecting "Yes" or "No" for answering information to question information, the level of agreement of subjective symptoms with the question is converted into points, and if the points exceed a predetermined threshold, it is determined that the cause of the user's migraine symptoms may be light-based, and ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms are determined.

[0080] The following description will focus on the differences from the first embodiment described above, and descriptions of overlapping parts will be simplified or omitted.

[0081] FIG. 6A is a diagram showing question information and answer information. Specifically, when the question information is question 1 "Does light worsen migraine symptoms when you have migraine symptoms?", "Level 1" to "Level 5" are displayed on the interface screen as answer candidates instead of "Yes" or "No", and the user selects one of "Level 1" to "Level 5" based on the subjective symptoms. For example, "Level 5" is set to "4 points", "Level 4" is set to "3 points", "Level 3" is set to "2 points", "Level 2" is set to "1 point", and "Level 1" is set to "0 points". In this example, it is assumed that "Level 5" is selected. Therefore, "4 points" is stored in the storage unit 220 as answer information (see FIG. 6B). In addition, the answer information in FIG. 6A that has a circle (○) therein indicates that the answer has been selected by the user.

[0082] In addition, in the case of question 2 "Do you ever feel that light is dazzling or uncomfortable when you have migraine symptoms?", "Level 1" to "Level 5" are displayed on the interface screen as answer candidates, and the user selects one of "Level 1" to "Level 5" based on his / her subjective symptoms. For example, "Level 5" is set to "4 points", "Level 4" to "3 points", "Level 3" to "2 points", "Level 2" to "1 point", and "Level 1" to "0 points". In this example, it is assumed that "Level 1" has been selected. Therefore, "0 points" is stored in the storage unit 220 as answer information (see FIG. 6B).

[0083] In addition, in the case of question 3 "Does light ever cause pain in or around the eye when you have migraine symptoms?", "Level 1" to "Level 5" are displayed on the interface screen as answer candidates, and the user selects one of "Level 1" to "Level 5" based on his / her subjective symptoms. For example, "Level 5" is set to "4 points", "Level 4" to "3 points", "Level 3" to "2 points", "Level 2" to "1 point", and "Level 1" to "0 points". In this example, it is assumed that "Level 2" is selected. Therefore, "1 point" is stored in the storage unit 220 as answer information (see FIG. 6B).

[0084] Furthermore, in the case of question 4 "Does light ever cause migraine symptoms?", "Level 1" to "Level 5" are displayed on the interface screen as answer candidates, and the user selects one of "Level 1" to "Level 5" based on his / her subjective symptoms. For example, "Level 5" is set to "4 points", "Level 4" to "3 points", "Level 3" to "2 points", "Level 2" to "1 point", and "Level 1" to "0 points". In this example, it is assumed that "Level 4" has been selected. Therefore, "3 points" is stored in the storage unit 220 as answer information (see FIG. 6B).

[0085] In addition, in the case of question 5 "Do you ever become sensitive to light before the onset of a migraine headache?", "Level 1" to "Level 5" are displayed on the interface screen as answer candidates, and the user selects one of "Level 1" to "Level 5" based on his / her subjective symptoms. For example, "Level 5" is set to "4 points", "Level 4" to "3 points", "Level 3" to "2 points", "Level 2" to "1 point", and "Level 1" to "0 points". In this example, it is assumed that "Level 4" has been selected. Therefore, "3 points" is stored in the storage unit 220 as answer information (see FIG. 6B).

[0086] The determination unit 230 counts the points of the answer information stored in the storage unit 220 and calculates the total points. In this example, the total points are "11" points, as shown in FIG. 6B. Then, it is determined whether or not the total points is equal to or greater than a predetermined threshold, for example, "10 points." Since the total points are equal to or greater than "10 points" in this example, it is determined that the cause of the user's migraine symptoms may be light-based, and an ophthalmic lens that is recommended for use in preventing or reducing the user's migraine symptoms is determined.

[0087] Although the levels and points are set to the same for all of Questions 1 to 5, this is not limited to the above. For Questions 1 to 3, the point allocation may be set higher than that for Questions 4 and 5, for example, "Level 5" is "10 points" and "Level 4" is "9 points."

[0088] In addition, the predetermined threshold is not limited to "10 points" and may be other points, and the predetermined threshold may be increased or decreased according to user information. This is because it is known that women in their 20s to 40s are particularly prone to migraine symptoms, and for such users, the predetermined threshold may be set to a lower point than for other users.

[0089] In addition, the determination unit 230 is not limited to the case where it counts points based on the answer information and determines that the cause of the user's migraine symptoms may be light-based. For example, the answer information may be input to a trained model trained using the weight of the answer information and correct answer data of other users in the past as training data, and it may be determined that the cause of the user's migraine symptoms may be light-based.

[0090] As described above, the headache cause determination system 10 according to the second embodiment can determine whether the cause of the user's migraine symptoms is light, taking into account the answers to a number of questions. Then, it can present ophthalmic lenses recommended for the user and stores that sell the ophthalmic lenses.

[0091] <System configuration according to the third embodiment>

[0092] The third embodiment will be described with reference to Figs. 7A and 7B. In the first embodiment described above, if "Yes" is selected for any one of questions 1 to 5, it is determined that the cause of the user's migraine symptoms may be light-based, and an ophthalmic lens recommended for use in preventing or reducing the user's migraine symptoms is determined. In the third embodiment, instead of selecting "Yes" or "No" as answer information to the question information, the frequency of subjective symptoms to the question is selected, which is converted into points, and if the points exceed a predetermined threshold, it is determined that the cause of the user's migraine symptoms may be light-based, and an ophthalmic lens recommended for use in preventing or reducing the user's migraine symptoms is determined.

[0093] The following description will focus on the differences from the first embodiment described above, and descriptions of overlapping parts will be simplified or omitted.

[0094] FIG. 7A is a diagram showing question information and answer information. Specifically, when the question information is question 1 "Does light worsen migraine symptoms when you have migraine symptoms?", instead of "yes" or "no", answer candidates are displayed on the interface screen as "often", "sometimes", "occasionally", "almost never", and "none", and the user selects one of "often", "sometimes", "almost never", and "none" based on the subjective symptoms. For example, "four points" is set for "often", "three points" for "sometimes", "two points" for "almost never", "one point" for "almost never", and "zero point" for "level 1". In this example, it is assumed that "almost never" is selected. Therefore, "one point" is stored in the storage unit 220 as answer information (see FIG. 7B). In addition, the answer information in FIG. 7A that has a circle (○) therein indicates that the answer has been selected by the user.

[0095] In addition, in the case of question 2 "Do you feel light is dazzling or uncomfortable when you have migraine symptoms?", answer candidates "often", "sometimes", "occasionally", "almost never", and "none" are displayed on the interface screen, and the user selects one of "often", "sometimes", "occasionally", "almost never", and "none" based on the subjective symptoms. For example, "four points" is set for "often", "three points" for "sometimes", "two points" for "almost never", "one point" for "almost never", and "zero points" for "level 1". In this example, it is assumed that "none" is selected. Therefore, "0 points" is stored in the storage unit 220 as answer information (see FIG. 7B).

[0096] In addition, in the case of question 3 "Does light cause pain in or around the eye when you have migraine symptoms?", answer candidates "often", "sometimes", "occasionally", "almost never", and "never" are displayed on the interface screen, and the user selects one of "often", "sometimes", "almost never", and "never" based on the subjective symptoms. For example, "often" is set to "4 points", "sometimes" to "3 points", "almost never" to "almost never", and "level 1" to "0 points". In this example, it is assumed that "almost never" is selected. Therefore, "1 point" is stored in the storage unit 220 as answer information (see FIG. 7B).

[0097] In addition, in the case of question 4 "Does light ever cause migraine symptoms?", answer candidates "often", "sometimes", "occasionally", "hardly", and "never" are displayed on the interface screen, and the user selects one of "often", "sometimes", "occasionally", "hardly", and "never" based on the subjective symptoms. For example, "often" is set to "4 points", "sometimes" is set to "3 points", "sometimes" is set to "2 points", "hardly" is set to "1 point", and "level 1" is set to "0 points". In this example, it is assumed that "sometimes" is selected. Therefore, "3 points" is stored in the storage unit 220 as answer information (see FIG. 7B).

[0098] In addition, in the case of question 5 "Do you ever become sensitive to light before a migraine occurs?", answer candidates "often", "sometimes", "occasionally", "almost never", and "never" are displayed on the interface screen, and the user selects one of "often", "sometimes", "occasionally", "almost never", and "never" based on the subjective symptoms. For example, "four points" is set for "often", "three points" for "sometimes", "two points" for "almost never", "one point" for "almost never", and "zero point" for "level 1". In this example, it is assumed that "sometimes" is selected. Therefore, "three points" is stored in the storage unit 220 as answer information (see FIG. 7B).

[0099] The determination unit 230 counts the points of the answer information stored in the storage unit 220 and calculates the total points. In this example, as shown in FIG. 7B, the total points are "8". Then, it is determined whether or not the total points is equal to or greater than a predetermined threshold, for example, "10 points". In this example, since the total points are not equal to or greater than "10 points", it is not determined that the cause of the user's migraine symptoms may be light-based. Therefore, it is determined to recommend eye lenses that selectively cut light around 460 nm for digital device users, rather than eye lenses that are recommended for use in preventing or reducing the user's migraine symptoms.

[0100] In addition, the frequency of subjective symptoms and points are set to be the same for all of questions 1 to 5, but this is not limited to this. For questions 1 to 3, the points may be set higher than those for questions 4 and 5, for example, "often" is assigned "10 points" and "sometimes" is assigned "9 points."

[0101] In addition, the predetermined threshold is not limited to "10 points" and may be other points, and the predetermined threshold may be increased or decreased according to user information. This is because it is known that women in their 20s to 40s are particularly prone to migraine symptoms, and for such users, the predetermined threshold may be set to a lower point than for other users.

[0102] In addition, the determination unit 230 is not limited to the case where it counts points based on the answer information and determines that the cause of the user's migraine symptoms may be light-based. For example, the answer information may be input to a trained model trained using the weight of the answer information and correct answer data of other users in the past as training data, and it may be determined that the cause of the user's migraine symptoms may be light-based.

[0103] As described above, the headache cause determination system 10 according to the third embodiment can determine whether the cause of the user's migraine symptoms is light, taking into account the answers to a number of questions. Then, it can present ophthalmic lenses recommended for the user and stores that sell the ophthalmic lenses.

[0104] <System Configuration According to Fourth Embodiment>

[0105] The fourth embodiment will be described with reference to FIG. 8 is a block diagram showing the system configuration of a fourth embodiment of a headache cause determination device 300. The headache cause determination device 300 shown in FIG.

[0106] In the first embodiment described above, the collection unit 210 collects user information and answer information transmitted from a plurality of terminals, and outputs the result determined by the determination unit 230 to the terminal. In the fourth embodiment, the acquisition unit 310 acquires user information and answer information, and causes the display unit 320 to display the result determined by the determination unit 230.

[0107] The following description will focus on the differences from the first to third embodiments described above, and descriptions of overlapping parts will be simplified or omitted.

[0108] The acquisition unit 310 of the headache cause determination device shown in Figure 8 acquires user information and answer information input from an input device connected to the headache cause determination device 300, such as a touch panel (see Figures 4A to 4H), and stores them in the storage unit 220.

[0109] The storage unit 220 and the determination unit 230 of the headache cause determination device 300 shown in FIG. 8 have the same functions as those in the first embodiment.

[0110] The display unit 320 of the headache cause determination device 300 shown in Fig. 8 is, for example, a liquid crystal display, and displays various information under the control of a CPU. In the fourth embodiment, the display unit 320 displays information about the ophthalmic lens and candidate stores that sell the ophthalmic lens as a result of the determination by the determination unit 230. The display unit 320 may also function as an input device by adopting a touch panel system.

[0111] As described above, the headache cause determination system 10 according to the fourth embodiment can determine whether the cause of the migraine symptoms of the user is light-induced, taking into account the answers to a number of questions. Then, it can present the user with ophthalmic lenses recommended for the user and stores that sell the ophthalmic lenses.

[0112] The present invention is not limited to the above-described embodiment, and various modifications and applications are possible without departing from the spirit and scope of the present invention.

[0113] For example, although the present specification has been described as an embodiment in which a program is pre-installed, the program may also be provided by being stored on a computer-readable recording medium.

[0114] In addition, a doctor or a clerk at a store selling ophthalmic lenses may output question information regarding the user's headache symptoms, obtain answer information to the question information, and determine whether or not the cause of the user's migraine symptoms is likely to be light-related based on the obtained answer information.

[0115] The disclosure of Japanese Patent Application No. 2020-123104, filed on July 17, 2020, is incorporated herein by reference in its entirety.

[0116] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

Claims

1. A headache cause determination system for determining whether or not the cause of a migraine symptom of a user having a migraine symptom is possibly due to photosensitivity, It is equipped with a computer, The computer includes a CPU, a storage unit, and a determination unit executed by the CPU, The storage unit stores data that can determine whether or not the user's migraine symptoms are likely to be caused by photosensitivity, based on question information regarding the user's migraine symptoms and answer information by the user to the question information; The determination unit determines whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on answer information by the user to the question information and the data stored in the storage unit, The question information is assigned points for each question according to a matching level or frequency of the subjective symptoms to the question, The determination unit determines whether or not the cause of the migraine symptoms of the user is likely to be light-based according to the points for the plurality of pieces of question information, and outputs the result; The storage unit further stores lens information regarding ophthalmic lenses that are recommended for use in preventing or reducing migraine symptoms when the determination unit determines that the cause of the migraine symptoms of the user may be due to photosensitivity, When the determination unit determines that the cause of the migraine symptoms of the user may be due to photosensitivity, the determination unit outputs the determination result, and determines and outputs an ophthalmic lens that is recommended for use to prevent or reduce the migraine symptoms of the user from the lens information and that selectively blocks light around 480 nm; The question information is a question about a state in which the user is experiencing migraine symptoms, a question about a cause of the user's migraine symptoms, or a question about a state before and after the user's migraine symptoms occur, The questions regarding the user's migraine condition are primarily about whether light can worsen the migraine symptoms when the user has a migraine, or whether the user feels that light is dazzling or uncomfortable, The questions regarding the user's migraine condition further include a question to the effect that light can cause pain in or around the eye when the user has a migraine headache; The question regarding the cause of the user's migraine symptoms is to the effect that light can cause migraine symptoms; The question regarding the user's condition before and after the onset of a migraine symptom is primarily about whether the user becomes sensitive to light between the time a migraine symptom subsides and the time the next migraine symptom occurs.

2. The headache cause determination system of claim 1, wherein the determination unit determines whether or not the cause of the user's migraine symptoms may be based on photosensitivity when any one of the answer information to the question information is predetermined answer information, and outputs the result.

3. The storage unit further stores user information including information about the user's place of residence, and retailer information about a store that sells an ophthalmic lens that is recommended for use in preventing or reducing the user's migraine symptoms, 3. The headache cause determination system of claim 1, wherein when determining and outputting the eye lenses recommended for use in preventing or reducing the user's migraine symptoms, the determination unit determines and outputs candidate stores that sell the eye lenses recommended for use in preventing or reducing the user's migraine symptoms based on information about the user's place of residence and the retailer information.

4. having the computer execute a process of: outputting data for determining whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on question information about the user's migraine symptoms and answer information by the user to the question information, the data being stored in a storage unit of the computer; and determining whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on the answer information by the user to the question information; The question information is assigned points for each question according to a matching level or frequency of the subjective symptoms to the question, The computer determines whether or not the cause of the user's migraine symptoms may be due to photosensitivity according to the points to the plurality of pieces of question information, and outputs the result; The storage unit further stores lens information regarding an ophthalmic lens that is recommended for use in preventing or reducing the migraine symptoms of the user when it is determined that the cause of the migraine symptoms of the user may be due to photosensitivity; When the computer determines that the cause of the migraine symptoms of the user may be due to photosensitivity, the computer outputs the determination result, and determines and outputs an ophthalmic lens that is recommended for use in preventing or reducing the migraine symptoms of the user from the lens information and that selectively blocks light around 480 nm; The question information is a question about a state in which the user is experiencing migraine symptoms, a question about a cause of the user's migraine symptoms, or a question about a state before and after the user's migraine symptoms occur, The questions regarding the user's migraine condition are primarily about whether light can worsen the migraine symptoms when the user has a migraine, or whether the user feels that light is dazzling or uncomfortable, The questions regarding the user's migraine condition further include a question to the effect that light can cause pain in or around the eye when the user has a migraine headache; The question regarding the cause of the user's migraine symptoms is to the effect that light can cause migraine symptoms; The method for determining the cause of a headache, wherein the questions regarding the user's condition before and after the onset of a migraine symptom are aimed at whether the user becomes sensitive to light between the time a migraine symptom subsides and the time the next migraine symptom occurs.

5. The storage unit further stores user information including information about the user's place of residence, and retailer information about a store that sells an ophthalmic lens that is recommended for use in preventing or reducing the user's migraine symptoms, The headache cause determination method according to claim 4, further comprising: determining and outputting candidate stores that sell the ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms based on information about the user's place of residence and the retailer information, when determining and outputting the ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms.

6. Computer, A headache cause determination system including a memory unit and a determination unit, the computer functions as a determination unit that determines whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on question information about the user's migraine symptoms and information on the user's answers to the question information, the data being stored in a storage unit of the computer, and determines whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on the information on the user's answers to the question information and the data stored in the storage unit, and outputs the determined result; The question information is assigned points for each question according to a matching level or frequency of the subjective symptoms to the question, The determination unit determines whether or not the cause of the migraine symptoms of the user is likely to be due to photosensitivity according to the points for the plurality of pieces of question information, and outputs the result. The storage unit further stores lens information regarding ophthalmic lenses that are recommended for use in preventing or reducing migraine symptoms when the determination unit determines that the cause of the migraine symptoms of the user may be due to photosensitivity, When the determination unit determines that the cause of the migraine symptoms of the user may be due to photosensitivity, the determination unit outputs the determination result, and determines and outputs an ophthalmic lens that is recommended for use to prevent or reduce the migraine symptoms of the user from the lens information and that selectively blocks light around 480 nm; The question information is a question about a state in which the user is experiencing migraine symptoms, a question about a cause of the user's migraine symptoms, or a question about a state before and after the user's migraine symptoms occur, The questions regarding the user's migraine condition are primarily about whether light can worsen the migraine symptoms when the user has a migraine, or whether the user feels that light is dazzling or uncomfortable, The questions regarding the user's migraine condition further include a question to the effect that light can cause pain in or around the eye when the user has a migraine headache; The question regarding the cause of the user's migraine symptoms is to the effect that light can cause migraine symptoms; The questions regarding the user's condition before and after the onset of a migraine episode are directed to whether the user becomes sensitive to light between the time a migraine episode subsides and the onset of the next migraine episode.

7. The storage unit further stores user information including information about the user's place of residence, and retailer information about a store that sells an ophthalmic lens that is recommended for use in preventing or reducing the user's migraine symptoms, The program according to claim 6, wherein when determining and outputting the eye lenses recommended for use in preventing or reducing the user's migraine symptoms, the determination unit determines and outputs candidate stores that sell the eye lenses recommended for use in preventing or reducing the user's migraine symptoms based on information about the user's place of residence and the retailer information.

8. Questions about the user's migraine symptoms; Answer information to the question information by the user; and Data that can determine whether or not the cause of the user's migraine symptoms is likely to be due to photosensitivity based on the question information and the answer information; and Including, The question information is assigned points for each question according to a matching level or frequency of the subjective symptoms to the question, On the computer, A data structure for determining whether or not the cause of the migraine symptoms of the user is likely to be due to photosensitivity based on the answer information to the question information by the user and the data, and outputting the result, the data structure determining whether or not the cause of the migraine symptoms of the user is likely to be due to photosensitivity according to the points to a plurality of pieces of question information, and further storing lens information regarding an ophthalmic lens that is recommended for use in preventing or reducing the migraine symptoms of the user when it is determined that the cause of the migraine symptoms of the user may be due to photosensitivity; When the computer determines that the cause of the migraine symptoms of the user may be due to photosensitivity, the computer outputs the determination result, and determines and outputs an ophthalmic lens that is recommended for use to prevent or reduce the migraine symptoms of the user from the lens information and that selectively blocks light around 480 nm; The question information is a question about a state in which the user is experiencing migraine symptoms, a question about a cause of the user's migraine symptoms, or a question about a state before and after the user's migraine symptoms occur, The questions regarding the user's migraine condition are primarily about whether light can worsen the migraine symptoms when the user has a migraine, or whether the user feels that light is dazzling or uncomfortable, The questions regarding the user's migraine condition further include a question to the effect that light can cause pain in or around the eye when the user has a migraine headache; The question regarding the cause of the user's migraine symptoms is to the effect that light can cause migraine symptoms; The question regarding the user's condition before and after the onset of a migraine episode is directed to whether the user experiences light sensitivity between the time a migraine episode subsides and the onset of the next migraine episode.

9. User information including information regarding the user's place of residence; and retailer information regarding a store that sells ophthalmic lenses that are recommended for use in preventing or reducing migraine symptoms of the user; On the computer, The data structure of claim 8, wherein when determining and outputting ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms, candidate stores selling ophthalmic lenses recommended for use in preventing or reducing the user's migraine symptoms are determined and output based on information related to the user's place of residence and the retailer information.

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