WO2020115958A1 - Health information provision system - Google Patents

Health information provision system Download PDF

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Publication number
WO2020115958A1
WO2020115958A1 PCT/JP2019/033249 JP2019033249W WO2020115958A1 WO 2020115958 A1 WO2020115958 A1 WO 2020115958A1 JP 2019033249 W JP2019033249 W JP 2019033249W WO 2020115958 A1 WO2020115958 A1 WO 2020115958A1
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information
person
advice
health
user
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PCT/JP2019/033249
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French (fr)
Japanese (ja)
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亜紀子 宮▲崎▼
真 村上
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株式会社FiNC Technologies
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance

Definitions

  • the present invention relates to a health information providing system.
  • Patent Document 1 discloses a system that determines the physical condition of a user from the analysis result of a camera image and the analysis result of a thermography and outputs an advice.
  • Patent Document 1 advice is provided based on the analysis result of an image or thermography, and it is not possible to output the content according to the attribute or state of the user.
  • the present invention has been made in view of such a background, and an object thereof is to provide a technique capable of providing health advice suitable for a user.
  • a main invention of the present invention for solving the above-mentioned problems is a health information providing system for providing information about health, including a persona storage unit that stores first person information about the fictitious person for a plurality of fictional persons, For each of the fictitious persons, an advice storage unit that stores advice regarding the health of the fictitious persons, a person information input unit that receives input of second person information regarding the users from the user, and the first and second person information.
  • the persona specifying unit that specifies the fictitious person who is similar to the user, the advice acquisition unit that reads the advice corresponding to the specified fictional person from the advice storage unit, and the read advice is output. And an advice output unit.
  • FIG. 6 is a diagram showing a configuration example of persona information stored in a persona storage unit 231.
  • FIG. 7 is a diagram showing a configuration example of advice information stored in an advice storage unit 232. It is a figure explaining the flow of a process in the health information providing system of this embodiment. It is a figure which shows the structural example of persona information made to include only the attribute of persona. It is a figure which shows the structural example of the advice information which was made to include the advice about the case where a persona is in a certain health condition.
  • the health information providing system according to the embodiment of the present invention has the following configuration.
  • a health information providing system for providing information on health A persona storage unit that stores first person information regarding the fictitious persons for a plurality of fictitious persons; An advice storage unit that stores advice regarding the health of the fictitious person for each of the fictitious persons; A personal information input unit that receives input of second personal information regarding the user from the user; A persona identification unit that identifies the fictitious person similar to the user by comparing the first and second person information; An advice acquisition unit that reads out the advice corresponding to the identified fictitious person from the advice storage unit; An advice output unit that outputs the read advice, A health information providing system comprising: [Item 2] The health information providing system according to claim 1, The identification of the fictitious person is determined based on the content of the input of the second person information.
  • Health information provision system [Item 3] The health information providing system according to claim 2, The input is survey information answered by the user, The identification of the fictitious person is determined based on at least the content of the survey information, Health information provision system. [Item 4] The health information providing system according to item 1, The first or second person information includes an attribute of the fictitious person or the user, The advice storage unit stores the advice in association with the first person information and a first health condition regarding the fictitious person, The personal information input unit accepts an input of a second health state regarding the user together with the second personal information, The advice acquisition unit reads out the advice corresponding to the identified fictitious person and the second health condition from the advice storage unit; A health information provision system characterized by.
  • the health information providing system according to item 2
  • the persona storage unit stores a plurality of the first person information
  • the personal information input unit receives one or more pieces of the second personal information
  • the persona identifying unit determines whether or not each of the second person information matches the corresponding first person information, and the second person information and the first person information match each other. Calculating the degree of similarity which is the degree of, and specifying the fictitious person according to the degree of similarity, A health information provision system characterized by.
  • a health information providing system according to item 3 A similarity output unit for outputting the similarity, A health information provision system characterized by.
  • the health information providing system according to item 1 The first or second person information includes an attribute of the fictitious person or the user and a health state of the fictitious person or the user, A health information provision system characterized by.
  • a health information providing system according to an embodiment of the present embodiment will be described.
  • advice from experts such as doctors and registered dietitians is registered in advance for some fictitious persons (hereinafter referred to as personas) having different health states, and the current state of the user is registered. It seeks to provide users with advice about the persona that is closest to their state.
  • FIG. 1 is a diagram showing an example of the overall configuration of a health information providing system according to an embodiment of the present invention.
  • the health information providing system of this embodiment includes a management server 2.
  • the management server 2 is communicatively connected to the user terminal 1 via the communication network 3.
  • the communication network 3 is the Internet, for example.
  • the user terminal 1 is a computer operated by the user, and is, for example, a smartphone, a tablet computer, a personal computer, or the like. The user can operate the user terminal 1 to access the management server 2 and obtain advice regarding the user's health condition.
  • the management server 2 is a computer that gives health advice to users.
  • the management server 2 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing.
  • FIG. 2 is a diagram showing a hardware configuration example of the management server 2.
  • the management server 2 includes a CPU 201, a memory 202, a storage device 203, a communication interface 204, an input device 205, and an output device 206.
  • the storage device 203 is, for example, a hard disk drive, a solid state drive, a flash memory, or the like that stores various data and programs.
  • the communication interface 204 is an interface for connecting to the communication network 30.
  • an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone line network, and a wireless communication device for performing wireless communication. A USB (Universal Serial Bus) connector for serial communication, an RS232C connector, and the like.
  • the input device 205 is, for example, a keyboard, a mouse, a touch panel, a button, a microphone or the like for inputting data.
  • the output device 206 is, for example, a display, a printer, a speaker, or the like that outputs data. Note that the illustrated configuration is an example, and other configurations may be included.
  • FIG. 3 is a diagram showing a software configuration example of the management server 2.
  • the management server 2 includes a person information input unit 211, a similarity calculation unit 212, a persona identification unit 213, an advice acquisition unit 214, a similarity output unit 215, an advice output unit 216, a persona storage unit 231, and a persona storage unit 231.
  • the advice storage unit 232 is provided.
  • the functional units 211 to 216 are realized by the CPU 201 of the management server 2 reading the program stored in the storage device 203 into the memory 202 and executing the program.
  • the storage units 231 and 232 are implemented by the management server 2. It is realized as a part of the storage area provided by the memory 202 and the storage device 203 included in.
  • the persona storage unit 231 stores information regarding personas (hereinafter referred to as persona information).
  • FIG. 4 is a diagram showing a configuration example of persona information stored in the persona storage unit 231.
  • the persona information includes various setting items related to the persona in association with the information that identifies the persona (hereinafter referred to as the persona ID).
  • the persona setting items may be classified into two viewpoints, attribute information and health status, as shown in FIG. 4 as an example.
  • the persona setting items are age, gender, place of residence, work content, life pattern, values, spouse presence, family structure, human relations, income, hobbies, Internet. It includes various "attributes” such as the usage status of "," and "health status” such as actual health problems, problems, and worries.
  • attributes such as name, age, sex, occupation, spouse, child, income, exercise, drinking, sleeping time, and headache, abdominal pain, low back pain, stiff shoulders, and cold health status are set. Is included in the persona information.
  • “congenital information (static information) as information fixed to the user (or information that can be specified by prediction/calculation) such as name, sex, blood type, age, etc. )” is information that changes posteriorly, such as weight, diet, steps, and worries, and is difficult to predict (or is not rational/efficient in predicting). Information)”. Particularly, when it is exemplified as dynamic information, it can be further classified into two types, that is, biological information and behavior information.
  • biometric information examples include genetic information, blood information, medical examination information (height and weight), lifestyle questionnaire information, and other information relating to the subject of health management from both the subjective and objective sides of the subject. It is not limited to this.
  • the behavior information is composed of meal information (meal time and meal content), location information and movement information, and login information (login time and login frequency).
  • the behavior information is information about the behavior of the person subject to health management in daily life, which is acquired at the user end, and is text data or image data indicating the content of meals received from the user terminal, and a time stamp accompanying it.
  • Information such as the time of logging in to the service provided by the management server 2 and the login frequency within a certain period (one day, week, month, or the like) can be included.
  • the behavior information can include a log-in access history obtained from the user terminal or the information site of the login destination, and a purchase history in which the health management target person purchases health foods such as supplements, health equipment, training machines, and the like. Further, the behavior information can include login information and logout information on the user terminal that informs selection or completion of a task on an application for health management such as diet. However, these are merely examples, and other information may be included.
  • the advice storage unit 232 stores information including health advice for the persona (hereinafter referred to as advice information).
  • FIG. 5 is a diagram showing a configuration example of the advice information stored in the advice storage unit 232.
  • the advice information includes health advice in association with the persona ID that identifies the persona.
  • the health advice is prepared by a professional such as a doctor, a nurse, a pharmacist, a registered dietitian, and a physiotherapist for each persona attribute and health condition.
  • the personal information input unit 211 receives input of information (hereinafter referred to as personal information) about a user who is a target of health advice.
  • the person information is a part or all of the setting items of the persona. In the present embodiment, it is assumed that the personal information is input to the user terminal 1 and transmitted from the user terminal 1 to the management server 2.
  • the similarity calculation unit 212 calculates the similarity between the user and the persona.
  • the similarity calculation unit 212 can calculate and total the similarity between each item included in the person information and each item included in the persona information. For example, the similarity calculation unit 212 compares the person information and the persona information, and totals the degree of coincidence or similarity of each item such as age difference, gender match, occupation similarity, and the like. Thus, the degree of similarity between the personal information and the persona information can be calculated.
  • the similarity calculation unit 212 may add weights to the respective items and then add up the items. For example, the user's survey results and attributes can be emphasized, and the degree of coincidence such as age and gender can be increased and aggregation can be performed. It is also possible to place importance on the health condition and increase the weight on the degree of coincidence of the health condition such as the presence or absence of headache and the presence or absence of a plurality of headaches to perform the aggregation.
  • the persona identifying unit 213 identifies the persona most similar to the user.
  • the persona identifying unit 213 can identify the persona indicated by the persona ID of the persona information having the highest similarity (most similar) calculated by the similarity calculating unit 212, as the persona most similar to the user.
  • the advice acquisition unit 214 acquires the advice corresponding to the persona most similar to the user from the advice storage unit 232.
  • the similarity output unit 215 outputs the similarity.
  • the similarity output unit 215 can transmit the similarity to the user terminal 1 so that the user terminal 1 displays the similarity.
  • the advice output unit 216 outputs the advice acquired by the advice acquisition unit 214.
  • the advice output unit 215 can transmit the advice to the user terminal 1 so that the advice is displayed on the user terminal 1.
  • FIG. 6 is a diagram illustrating the flow of processing in the health information providing system of this embodiment.
  • the person information input unit 211 receives the person information including the user's attribute and health condition from the user terminal 1 (S321), and the similarity calculation unit 212 determines the user and persona based on the degree of matching between the person information and persona information. The degree of similarity is calculated (S322).
  • the persona identifying unit 213 identifies the most similar persona (S323).
  • the advice acquisition unit 214 reads the advice corresponding to the specified persona from the advice storage unit 232 (S324), and the advice output unit 216 transmits the read advice to the user terminal 1 (S325).
  • the advice output unit 216 may transmit the advice with the degree of similarity attached.
  • the health information providing system of the present embodiment it is possible to provide the user with advice prepared in advance for the persona similar to the user's attribute and health condition. As a result, the user can obtain advice for the persona close to his/her own attribute and health condition. On the other hand, it is not necessary to dynamically generate advice that matches the current state of the user, and advice that is tailored to the persona can be prepared in advance by a profession, so incorrect information can be sent to the user. It can reduce the risk of providing.
  • the persona information includes both the persona's attributes and health status
  • the advice information includes the advice for the persona having these attributes and health status.
  • the persona information should include only the attributes of the persona, and as shown in FIG. 8, the advice when the persona having the attribute has a certain health condition. May be included.
  • the similarity calculation unit 212 calculates the similarity between the attribute included in the person information and the persona information
  • the advice acquisition unit 214 Reads the advice corresponding to the identified persona and the health condition included in the person information from the advice storage unit 232. In this way, advice can be prepared for each health condition regarding comments when personas having the same attribute have different health conditions.
  • the management server 2 is assumed to be one computer, but the present invention is not limited to this, and a plurality of computers may virtually constitute the management server 2 which is one computer.
  • the storage unit of the management server 2 may be provided in a separate database server, and the functional unit of the management server 2 may access the database server.
  • the functional unit of the management server 2 may include a plurality of computers. It can also be configured to be distributed to each other and cooperate while exchanging messages between computers.
  • a client-server type system including the user terminal 1 and the management server 2 is assumed, but the functional unit and the storage unit of the management server 2 are provided in the user terminal 1 so that the user terminal 1 A single health information providing system can be realized.

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Abstract

[Problem] To be able to provide health advice tailored to a user. [Solution] This health information provision system provides information pertaining to health and comprises: a persona storage unit that stores first person information pertaining to an imaginary person, for a plurality of imaginary persons; an advice storage unit that stores advice pertaining to the health of each of the imaginary persons; a person information input unit that receives input from a user of second person information pertaining to the user; a persona identification unit that compares the first and second person information to each other to identify the imaginary person most similar to the user; an advice acquisition unit that reads, from the advice storage unit, advice corresponding to the identified imaginary person; and an advice output unit that outputs the read advice.

Description

健康情報提供システムHealth information system
 本発明は、健康情報提供システムに関する。 The present invention relates to a health information providing system.
 コンピュータシステムを使って健康状態を分析することが行われている。たとえば、特許文献1には、カメラ画像の解析結果とサーモグラフィーの解析結果とからユーザの体調を判断し、アドバイスを出力するシステムが開示されている。  A computer system is used to analyze your health. For example, Patent Document 1 discloses a system that determines the physical condition of a user from the analysis result of a camera image and the analysis result of a thermography and outputs an advice.
特開2017-187965号公報JP, 2017-187965, A
 ユーザに具体的なアドバイスを行う場合には、ユーザの属性や状態に応じた内容にするニーズがある。しかしながら、特許文献1では画像やサーモグラフィーの解析結果からアドバイスを行っており、ユーザの属性や状態に応じた内容を出力することはできない。  When giving specific advice to users, there is a need to make the content according to the attributes and status of the user. However, in Patent Document 1, advice is provided based on the analysis result of an image or thermography, and it is not possible to output the content according to the attribute or state of the user.
 本発明はこのような背景を鑑みてなされたものであり、ユーザに合った健康アドバイスを提供することのできる技術を提供することを目的とする。 The present invention has been made in view of such a background, and an object thereof is to provide a technique capable of providing health advice suitable for a user.
 上記課題を解決するための本発明の主たる発明は、健康に関する情報を提供する健康情報提供システムであって、複数の架空人物について前記架空人物に関する第1の人物情報を記憶するペルソナ記憶部と、前記架空人物ごとに、前記架空人物の健康に関するアドバイスを記憶するアドバイス記憶部と、ユーザから前記ユーザに関する第2の人物情報の入力を受け付ける人物情報入力部と、前記第1および第2の人物情報を比較して、前記ユーザに類似する前記架空人物を特定するペルソナ特定部と、特定した前記架空人物に対応する前記アドバイスを前記アドバイス記憶部から読み出すアドバイス取得部と、読み出した前記アドバイスを出力するアドバイス出力部と、を備えることとする。 A main invention of the present invention for solving the above-mentioned problems is a health information providing system for providing information about health, including a persona storage unit that stores first person information about the fictitious person for a plurality of fictional persons, For each of the fictitious persons, an advice storage unit that stores advice regarding the health of the fictitious persons, a person information input unit that receives input of second person information regarding the users from the user, and the first and second person information. The persona specifying unit that specifies the fictitious person who is similar to the user, the advice acquisition unit that reads the advice corresponding to the specified fictional person from the advice storage unit, and the read advice is output. And an advice output unit.
 その他本願が開示する課題やその解決方法については、発明の実施形態の欄及び図面により明らかにされる。 Other problems disclosed in the present application and a solution to the problems will be clarified by the section of the embodiments of the invention and the drawings.
 本発明によれば、ユーザに合った健康アドバイスを提供することができる。 According to the present invention, it is possible to provide health advice suitable for the user.
本発明の一実施形態に係る健康情報提供システムの全体構成例を示す図である。It is a figure showing an example of whole composition of a health information service system concerning one embodiment of the present invention. 管理サーバ2のハードウェア構成例を示す図である。It is a figure which shows the hardware structural example of the management server 2. 管理サーバ2のソフトウェア構成例を示す図である。3 is a diagram showing a software configuration example of a management server 2. FIG. ペルソナ記憶部231に記憶されるペルソナ情報の構成例を示す図である。FIG. 6 is a diagram showing a configuration example of persona information stored in a persona storage unit 231. アドバイス記憶部232に記憶されるアドバイス情報の構成例を示す図である。FIG. 7 is a diagram showing a configuration example of advice information stored in an advice storage unit 232. 本実施形態の健康情報提供システムにおける処理の流れを説明する図である。It is a figure explaining the flow of a process in the health information providing system of this embodiment. ペルソナの属性のみを含めるようにしたペルソナ情報の構成例を示す図である。It is a figure which shows the structural example of persona information made to include only the attribute of persona. ペルソナがある健康状態にある場合についてのアドバイスを含めるようにしたアドバイス情報の構成例を示す図である。It is a figure which shows the structural example of the advice information which was made to include the advice about the case where a persona is in a certain health condition.
 本発明の実施形態の内容を列記して説明する。本発明の実施の形態による健康情報提供システムは、以下のような構成を備える。 The contents of the embodiment of the present invention will be listed and described. The health information providing system according to the embodiment of the present invention has the following configuration.
[項目1]
 健康に関する情報を提供する健康情報提供システムであって、
 複数の架空人物について前記架空人物に関する第1の人物情報を記憶するペルソナ記憶部と、
 前記架空人物ごとに、前記架空人物の健康に関するアドバイスを記憶するアドバイス記憶部と、
 ユーザから前記ユーザに関する第2の人物情報の入力を受け付ける人物情報入力部と、
 前記第1および第2の人物情報を比較して、前記ユーザに類似する前記架空人物を特定するペルソナ特定部と、
 特定した前記架空人物に対応する前記アドバイスを前記アドバイス記憶部から読み出すアドバイス取得部と、
 読み出した前記アドバイスを出力するアドバイス出力部と、
 を備えることを特徴とする健康情報提供システム。
[項目2]
 請求項1に記載の健康情報提供システムであって、
 前記架空人物の特定は、前記第2の人物情報の前記入力の内容に基づいて定められる、
健康情報提供システム。
[項目3]
 請求項2に記載の健康情報提供システムであって、
 前記入力は、前記ユーザにより回答されたサーベイ情報であり、
 前記架空人物の特定は、少なくとも前記サーベイ情報の内容に基づいて定められる、
健康情報提供システム。
[項目4]
 項目1に記載の健康情報提供システムであって、
 前記第1または第2の人物情報には、前記架空人物または前記ユーザの属性が含まれ、
 前記アドバイス記憶部は、前記第1の人物情報と、前記架空人物に関する第1の健康状態とに対応付けて前記アドバイスを記憶しており、
 前記人物情報入力部は、前記第2の人物情報とともに、前記ユーザに関する第2の健康状態の入力を受け付け、
 前記アドバイス取得部は、前記特定した架空人物と前記第2の健康状態とに対応する前記アドバイスを前記アドバイス記憶部から読み出すこと、
 を特徴とする健康情報提供システム。
[項目5]
 項目2に記載の健康情報提供システムであって、
 前記ペルソナ記憶部は、前記第1の人物情報を複数記憶しており、
 前記人物情報入力部は、前記第2の人物情報を1つ以上受け付け、
 前記ペルソナ特定部は、前記第2の人物情報のそれぞれについて、対応する前記第1の人物情報と一致するか否かを判定し、前記第2の人物情報と前記第1の人物情報とが一致した度合である類似度を算出し、前記類似度に応じて前記架空人物を特定すること、
 を特徴とする健康情報提供システム。
[項目6]
 項目3に記載の健康情報提供システムであって、
 前記類似度を出力する類似度出力部を備えること、
 を特徴とする健康情報提供システム。
[項目7]
 項目1に記載の健康情報提供システムであって、
 前記第1または第2の人物情報には、前記架空人物または前記ユーザの属性および前記架空人物または前記ユーザの健康状態が含まれること、
 を特徴とする健康情報提供システム。
[Item 1]
A health information providing system for providing information on health,
A persona storage unit that stores first person information regarding the fictitious persons for a plurality of fictitious persons;
An advice storage unit that stores advice regarding the health of the fictitious person for each of the fictitious persons;
A personal information input unit that receives input of second personal information regarding the user from the user;
A persona identification unit that identifies the fictitious person similar to the user by comparing the first and second person information;
An advice acquisition unit that reads out the advice corresponding to the identified fictitious person from the advice storage unit;
An advice output unit that outputs the read advice,
A health information providing system comprising:
[Item 2]
The health information providing system according to claim 1,
The identification of the fictitious person is determined based on the content of the input of the second person information.
Health information provision system.
[Item 3]
The health information providing system according to claim 2,
The input is survey information answered by the user,
The identification of the fictitious person is determined based on at least the content of the survey information,
Health information provision system.
[Item 4]
The health information providing system according to item 1,
The first or second person information includes an attribute of the fictitious person or the user,
The advice storage unit stores the advice in association with the first person information and a first health condition regarding the fictitious person,
The personal information input unit accepts an input of a second health state regarding the user together with the second personal information,
The advice acquisition unit reads out the advice corresponding to the identified fictitious person and the second health condition from the advice storage unit;
A health information provision system characterized by.
[Item 5]
The health information providing system according to item 2,
The persona storage unit stores a plurality of the first person information,
The personal information input unit receives one or more pieces of the second personal information,
The persona identifying unit determines whether or not each of the second person information matches the corresponding first person information, and the second person information and the first person information match each other. Calculating the degree of similarity which is the degree of, and specifying the fictitious person according to the degree of similarity,
A health information provision system characterized by.
[Item 6]
A health information providing system according to item 3,
A similarity output unit for outputting the similarity,
A health information provision system characterized by.
[Item 7]
The health information providing system according to item 1,
The first or second person information includes an attribute of the fictitious person or the user and a health state of the fictitious person or the user,
A health information provision system characterized by.
 以下、本実施形態の一実施形態に係る健康情報提供システムについて説明する。本実施形態の健康情報提供システムでは、健康状態の異なるいくつかの架空人物(以下、ペルソナという。)について、医師や管理栄養士などの専門家からのアドバイスを予め登録しておき、ユーザの現在の状態に最も近いペルソナについてのアドバイスをユーザに提供しようとするものである。 Hereinafter, a health information providing system according to an embodiment of the present embodiment will be described. In the health information providing system according to the present embodiment, advice from experts such as doctors and registered dietitians is registered in advance for some fictitious persons (hereinafter referred to as personas) having different health states, and the current state of the user is registered. It seeks to provide users with advice about the persona that is closest to their state.
 図1は、本発明の一実施形態に係る健康情報提供システムの全体構成例を示す図である。同図に示すように、本実施形態の健康情報提供システムは、管理サーバ2を含んで構成される。管理サーバ2は通信ネットワーク3を介してユーザ端末1と通信可能に接続される。通信ネットワーク3は、たとえば、インターネットである。 FIG. 1 is a diagram showing an example of the overall configuration of a health information providing system according to an embodiment of the present invention. As shown in the figure, the health information providing system of this embodiment includes a management server 2. The management server 2 is communicatively connected to the user terminal 1 via the communication network 3. The communication network 3 is the Internet, for example.
 ユーザ端末1は、ユーザが操作するコンピュータであり、たとえば、スマートフォンやタブレットコンピュータ、パーソナルコンピュータなどである。ユーザはユーザ端末1を操作して、管理サーバ2にアクセスし、ユーザの健康状態に関するアドバイスを取得することができる。 The user terminal 1 is a computer operated by the user, and is, for example, a smartphone, a tablet computer, a personal computer, or the like. The user can operate the user terminal 1 to access the management server 2 and obtain advice regarding the user's health condition.
 管理サーバ2は、ユーザに対する健康アドバイスを行うコンピュータである。管理サーバ2は、例えばワークステーションやパーソナルコンピュータのような汎用コンピュータとしてもよいし、あるいはクラウド・コンピューティングによって論理的に実現されてもよい。 The management server 2 is a computer that gives health advice to users. The management server 2 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing.
 図2は、管理サーバ2のハードウェア構成例を示す図である。管理サーバ2は、CPU201、メモリ202、記憶装置203、通信インタフェース204、入力装置205、出力装置206を備える。記憶装置203は、各種のデータやプログラムを記憶する、例えばハードディスクドライブやソリッドステートドライブ、フラッシュメモリなどである。通信インタフェース204は、通信ネットワーク30に接続するためのインタフェースであり、例えばイーサネット(登録商標)に接続するためのアダプタ、公衆電話回線網に接続するためのモデム、無線通信を行うための無線通信機、シリアル通信のためのUSB(Universal Serial Bus)コネクタやRS232Cコネクタなどである。入力装置205は、データを入力する、例えばキーボードやマウス、タッチパネル、ボタン、マイクロフォンなどである。出力装置206は、データを出力する、例えばディスプレイやプリンタ、スピーカなどである。なお、図示された構成は一例であり、これ以外の構成を有していてもよい。 FIG. 2 is a diagram showing a hardware configuration example of the management server 2. The management server 2 includes a CPU 201, a memory 202, a storage device 203, a communication interface 204, an input device 205, and an output device 206. The storage device 203 is, for example, a hard disk drive, a solid state drive, a flash memory, or the like that stores various data and programs. The communication interface 204 is an interface for connecting to the communication network 30. For example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone line network, and a wireless communication device for performing wireless communication. , A USB (Universal Serial Bus) connector for serial communication, an RS232C connector, and the like. The input device 205 is, for example, a keyboard, a mouse, a touch panel, a button, a microphone or the like for inputting data. The output device 206 is, for example, a display, a printer, a speaker, or the like that outputs data. Note that the illustrated configuration is an example, and other configurations may be included.
 図3は、管理サーバ2のソフトウェア構成例を示す図である。同図に示すように、管理サーバ2は、人物情報入力部211、類似度算出部212、ペルソナ特定部213、アドバイス取得部214、類似度出力部215、アドバイス出力部216、ペルソナ記憶部231およびアドバイス記憶部232を備える。 FIG. 3 is a diagram showing a software configuration example of the management server 2. As shown in the figure, the management server 2 includes a person information input unit 211, a similarity calculation unit 212, a persona identification unit 213, an advice acquisition unit 214, a similarity output unit 215, an advice output unit 216, a persona storage unit 231, and a persona storage unit 231. The advice storage unit 232 is provided.
 なお、上記機能部211ないし216は、管理サーバ2が備えるCPU201が記憶装置203に記憶されているプログラムをメモリ202に読み出して実行することにより実現され、上記記憶部231および232は、管理サーバ2が備えるメモリ202および記憶装置203が提供する記憶領域の一部として実現される。 The functional units 211 to 216 are realized by the CPU 201 of the management server 2 reading the program stored in the storage device 203 into the memory 202 and executing the program. The storage units 231 and 232 are implemented by the management server 2. It is realized as a part of the storage area provided by the memory 202 and the storage device 203 included in.
 ペルソナ記憶部231は、ペルソナに関する情報(以下、ペルソナ情報という。)を記憶する。図4は、ペルソナ記憶部231に記憶されるペルソナ情報の構成例を示す図である。ペルソナ情報には、ペルソナを特定する情報(以下、ペルソナIDという。)に対応付けて、ペルソナに関する各種の設定項目が含まれる。 The persona storage unit 231 stores information regarding personas (hereinafter referred to as persona information). FIG. 4 is a diagram showing a configuration example of persona information stored in the persona storage unit 231. The persona information includes various setting items related to the persona in association with the information that identifies the persona (hereinafter referred to as the persona ID).
 ペルソナの設定項目(以下、人物情報ともいう。)は、例えば、一例として図4に示されるように、属性情報と健康状態という2つの観点に分類することとしてもよい。図示される例においては、ペルソナの設定項目には、年齢、性別、住んでいる場所、仕事の内容、生活のパターン、価値観、配偶者の有無、家族構成、人間関係、収入、趣味、インターネットの利用状況などの各種の「属性」と、実際に起きている健康上の問題、課題、悩みなどの「健康状態」とを含む。図4の例では、設定項目の一例として、名前、年齢、性別、職業、配偶者、子供、収入、運動、飲酒、睡眠時間の属性と、頭痛、腹痛、腰痛、肩こり、冷え性の健康状態とがペルソナ情報に含まれている。 The persona setting items (hereinafter also referred to as personal information) may be classified into two viewpoints, attribute information and health status, as shown in FIG. 4 as an example. In the illustrated example, the persona setting items are age, gender, place of residence, work content, life pattern, values, spouse presence, family structure, human relations, income, hobbies, Internet. It includes various "attributes" such as the usage status of "," and "health status" such as actual health problems, problems, and worries. In the example of FIG. 4, as an example of setting items, attributes such as name, age, sex, occupation, spouse, child, income, exercise, drinking, sleeping time, and headache, abdominal pain, low back pain, stiff shoulders, and cold health status are set. Is included in the persona information.
 また、他の例では、例えば、名前、性別、血液型、年齢などのようにそのユーザに固定された情報(又は予測・算出により特定可能な情報)としての「先天的情報(静的な情報)」と、体重、食事、歩数、悩みなどのように事後的に変動する情報でありその予測が困難(又は予測することに合理性・効率性がない)情報としての「後天的情報(動的な情報)」という2つに分類を行うこととしてもよい。特に、動的情報として例示すれば、生体情報と、行動情報の2種に更に分類することができる。 Further, in another example, “congenital information (static information) as information fixed to the user (or information that can be specified by prediction/calculation) such as name, sex, blood type, age, etc. )” is information that changes posteriorly, such as weight, diet, steps, and worries, and is difficult to predict (or is not rational/efficient in predicting). Information)”. Particularly, when it is exemplified as dynamic information, it can be further classified into two types, that is, biological information and behavior information.
 生体情報の例としては、遺伝子情報、血液情報、検診情報(身長および体重)および生活習慣アンケート情報等の健康管理対象者の主観と客観の両面からの健康管理対象者に関する情報から構成されるがこれに限られない。 Examples of biometric information include genetic information, blood information, medical examination information (height and weight), lifestyle questionnaire information, and other information relating to the subject of health management from both the subjective and objective sides of the subject. It is not limited to this.
 また、行動情報は、食事情報(食事時間および食事内容)、位置情報および移動情報並びにログイン情報(ログイン時間およびログイン頻度)から構成される。当該行動情報は、ユーザ端で取得される健康管理対象者の日々の生活での行動に関する情報であり、ユーザ端末から受信した食事の内容を示したテキストデータや画像データ、それに付随するタイムスタンプで食事時間を含めたり、ユーザ端末に記録されているGPSデータから求められる当時の位置情報およびある時点で計測された位置情報とその次の時点で計測された位置情報から求められる移動情報を含めたり、管理サーバ2が提供するサービスにログインした時間や一定期間内(一日、週間または月間等)のログイン頻度といった情報を含めることができる。さらに、行動情報は、ユーザ端末またはログイン先の情報サイトから得られるログインのアクセス履歴や健康管理対象者がサプリメント等健康食品、健康器具、トレーニングマシーンなどを購入した購買履歴を含めることができる。また、行動情報は、ダイエットなど健康管理のためのアプリケーション上のタスクの選択または完了を知らせるユーザ端末上でのログイン情報およびログアウト情報を含めることができる。しかしながら、これらは一例にすぎず、他の情報を含めることとしてもよい。 The behavior information is composed of meal information (meal time and meal content), location information and movement information, and login information (login time and login frequency). The behavior information is information about the behavior of the person subject to health management in daily life, which is acquired at the user end, and is text data or image data indicating the content of meals received from the user terminal, and a time stamp accompanying it. Including meal time, and including position information at that time obtained from GPS data recorded in the user terminal, position information measured at a certain time point, and movement information obtained from the position information measured at the next time point Information such as the time of logging in to the service provided by the management server 2 and the login frequency within a certain period (one day, week, month, or the like) can be included. Furthermore, the behavior information can include a log-in access history obtained from the user terminal or the information site of the login destination, and a purchase history in which the health management target person purchases health foods such as supplements, health equipment, training machines, and the like. Further, the behavior information can include login information and logout information on the user terminal that informs selection or completion of a task on an application for health management such as diet. However, these are merely examples, and other information may be included.
 アドバイス記憶部232は、ペルソナに対する健康のアドバイスを含む情報(以下、アドバイス情報という。)を記憶する。図5は、アドバイス記憶部232に記憶されるアドバイス情報の構成例を示す図である。同図に示すように、アドバイス情報には、ペルソナを特定するペルソナIDに対応付けて、健康アドバイスが含まれる。健康アドバイスは、ペルソナの属性および健康状態に対して医師や看護師、薬剤師、管理栄養士、理学療法士などの専門職により作成される。 The advice storage unit 232 stores information including health advice for the persona (hereinafter referred to as advice information). FIG. 5 is a diagram showing a configuration example of the advice information stored in the advice storage unit 232. As shown in the figure, the advice information includes health advice in association with the persona ID that identifies the persona. The health advice is prepared by a professional such as a doctor, a nurse, a pharmacist, a registered dietitian, and a physiotherapist for each persona attribute and health condition.
 人物情報入力部211は、健康アドバイスの対象となるユーザに関する情報(以下、人物情報という。)の入力を受け付ける。人物情報は、ペルソナの設定項目の一部または全てである。本実施形態では、人物情報はユーザ端末1において入力され、ユーザ端末1から管理サーバ2に送信されてくることを想定する。 The personal information input unit 211 receives input of information (hereinafter referred to as personal information) about a user who is a target of health advice. The person information is a part or all of the setting items of the persona. In the present embodiment, it is assumed that the personal information is input to the user terminal 1 and transmitted from the user terminal 1 to the management server 2.
 類似度算出部212は、ユーザとペルソナとの類似度を算出する。類似度算出部212は、人物情報に含まれる各項目と、ペルソナ情報に含まれる各項目との類似度を算出して集計することができる。たとえば、類似度算出部212は、人物情報およびペルソナ情報を比較して、年齢の差、性別が一致するかどうか、職業が類似するかどうかなど、各項目の一致度または類似度を集計することにより、人物情報とペルソナ情報との類似度を算出することができる。なお、類似度算出部212は、各項目に重みを付けたうえで集計するようにしてもよい。たとえば、ユーザのサーベイ結果や属性を重視して、年齢や性別などの一致度合に重みを大きくして集計を行うことができる。また、健康状態を重視して、頭痛の有無や複数の有無など健康状態の一致度合に重みを大きくして集計を行うこともできる。 The similarity calculation unit 212 calculates the similarity between the user and the persona. The similarity calculation unit 212 can calculate and total the similarity between each item included in the person information and each item included in the persona information. For example, the similarity calculation unit 212 compares the person information and the persona information, and totals the degree of coincidence or similarity of each item such as age difference, gender match, occupation similarity, and the like. Thus, the degree of similarity between the personal information and the persona information can be calculated. The similarity calculation unit 212 may add weights to the respective items and then add up the items. For example, the user's survey results and attributes can be emphasized, and the degree of coincidence such as age and gender can be increased and aggregation can be performed. It is also possible to place importance on the health condition and increase the weight on the degree of coincidence of the health condition such as the presence or absence of headache and the presence or absence of a plurality of headaches to perform the aggregation.
 ペルソナ特定部213は、ユーザに最も類似するペルソナを特定する。ペルソナ特定部213は、類似度算出部212が算出した類似度が最も高い(最も類似している)ペルソナ情報のペルソナIDが示すペルソナを、ユーザに最も類似するペルソナとして特定することができる。 The persona identifying unit 213 identifies the persona most similar to the user. The persona identifying unit 213 can identify the persona indicated by the persona ID of the persona information having the highest similarity (most similar) calculated by the similarity calculating unit 212, as the persona most similar to the user.
 アドバイス取得部214は、ユーザに最も類似するペルソナに対応するアドバイスをアドバイス記憶部232から取得する。 The advice acquisition unit 214 acquires the advice corresponding to the persona most similar to the user from the advice storage unit 232.
 類似度出力部215は、類似度を出力する。類似度出力部215は、ユーザ端末1において類似度が表示されるように、類似度をユーザ端末1に送信することができる。 The similarity output unit 215 outputs the similarity. The similarity output unit 215 can transmit the similarity to the user terminal 1 so that the user terminal 1 displays the similarity.
 アドバイス出力部216は、アドバイス取得部214が取得したアドバイスを出力する。アドバイス出力部215は、ユーザ端末1においてアドバイスが表示されるように、アドバイスをユーザ端末1に送信することができる。 The advice output unit 216 outputs the advice acquired by the advice acquisition unit 214. The advice output unit 215 can transmit the advice to the user terminal 1 so that the advice is displayed on the user terminal 1.
 図6は、本実施形態の健康情報提供システムにおける処理の流れを説明する図である。人物情報入力部211は、ユーザの属性および健康状態を含む人物情報をユーザ端末1から受信し(S321)、類似度算出部212は、人物情報とペルソナ情報との一致度からユーザとペルソナとの類似度を算出する(S322)。ペルソナ特定部213は、最も類似するペルソナを特定する(S323)。アドバイス取得部214は、特定されたペルソナに対応するアドバイスをアドバイス記憶部232から読み出し(S324)、アドバイス出力部216は、読み出されたアドバイスをユーザ端末1に送信する(S325)。なお、アドバイス出力部216は、類似度を付帯させてアドバイスを送信するようにしてもよい。 FIG. 6 is a diagram illustrating the flow of processing in the health information providing system of this embodiment. The person information input unit 211 receives the person information including the user's attribute and health condition from the user terminal 1 (S321), and the similarity calculation unit 212 determines the user and persona based on the degree of matching between the person information and persona information. The degree of similarity is calculated (S322). The persona identifying unit 213 identifies the most similar persona (S323). The advice acquisition unit 214 reads the advice corresponding to the specified persona from the advice storage unit 232 (S324), and the advice output unit 216 transmits the read advice to the user terminal 1 (S325). The advice output unit 216 may transmit the advice with the degree of similarity attached.
 以上のようにして、本実施形態の健康情報提供システムによれば、ユーザの属性および健康状態に類似したペルソナに対して事前に準備されたアドバイスをユーザに提供することができる。これにより、ユーザは自身の属性および健康状態に近いペルソナに対するアドバイスを得ることができる。一方で、ユーザの現在の状態に合わせたアドバイスを動的に生成する必要がなく、事前にペルソナに合わせたアドバイスを専門職により準備しておくことができるので、ユーザに対して間違った情報を提供するリスクを軽減することができる。 As described above, according to the health information providing system of the present embodiment, it is possible to provide the user with advice prepared in advance for the persona similar to the user's attribute and health condition. As a result, the user can obtain advice for the persona close to his/her own attribute and health condition. On the other hand, it is not necessary to dynamically generate advice that matches the current state of the user, and advice that is tailored to the persona can be prepared in advance by a profession, so incorrect information can be sent to the user. It can reduce the risk of providing.
 上述した実施形態では、ペルソナ情報には、ペルソナの属性と健康状態との両方が含まれており、アドバイス情報には、これらの属性および健康状態を備えたペルソナに対するアドバイスが登録されているものとしたが、図7に示すように、ペルソナ情報には、ペルソナの属性のみを含めるようにし、図8に示すように、アドバイス情報に、その属性を備えたペルソナがある健康状態にある場合のアドバイスを含めるようにしてもよい。この場合、図6に示した処理では、ステップS322において、類似度算出部212は、人物情報に含まれる属性と、ペルソナ情報との類似度を計算するようにし、ステップS324において、アドバイス取得部214は、特定されたペルソナと人物情報に含まれる健康状態とに対応するアドバイスをアドバイス記憶部232から読み出すようにする。このようにして、同じ属性のペルソナが異なる健康状態である場合のコメントについて、健康状態別にアドバイスを準備することができる。 In the above-described embodiment, the persona information includes both the persona's attributes and health status, and the advice information includes the advice for the persona having these attributes and health status. However, as shown in FIG. 7, the persona information should include only the attributes of the persona, and as shown in FIG. 8, the advice when the persona having the attribute has a certain health condition. May be included. In this case, in the process shown in FIG. 6, in step S322, the similarity calculation unit 212 calculates the similarity between the attribute included in the person information and the persona information, and in step S324, the advice acquisition unit 214. Reads the advice corresponding to the identified persona and the health condition included in the person information from the advice storage unit 232. In this way, advice can be prepared for each health condition regarding comments when personas having the same attribute have different health conditions.
 以上、本実施形態について説明したが、上記実施形態は本発明の理解を容易にするためのものであり、本発明を限定して解釈するためのものではない。本発明は、その趣旨を逸脱することなく、変更、改良され得ると共に、本発明にはその等価物も含まれる。 Although the present embodiment has been described above, the above embodiment is for facilitating the understanding of the present invention and is not for limiting the interpretation of the present invention. The present invention can be modified and improved without departing from the spirit thereof, and the present invention also includes equivalents thereof.
 たとえば、本実施形態では、管理サーバ2は1台のコンピュータであるものとしたが、これに限らず、複数台のコンピュータで仮想的に1台のコンピュータである管理サーバ2を構成することも可能である。たとえば、管理サーバ2の記憶部を別体のデータベースサーバが備えるようにし、管理サーバ2の機能部がデータベースサーバにアクセスするようにすることもできるし、管理サーバ2の機能部を複数台のコンピュータに分散配備し、各コンピュータ間でメッセージをやりとりしながら協業するように構成することもできる。 For example, in the present embodiment, the management server 2 is assumed to be one computer, but the present invention is not limited to this, and a plurality of computers may virtually constitute the management server 2 which is one computer. Is. For example, the storage unit of the management server 2 may be provided in a separate database server, and the functional unit of the management server 2 may access the database server. Alternatively, the functional unit of the management server 2 may include a plurality of computers. It can also be configured to be distributed to each other and cooperate while exchanging messages between computers.
 また、本実施形態では、ユーザ端末1と管理サーバ2とを含むクライアントサーバ型のシステムを想定していたが、管理サーバ2の機能部および記憶部をユーザ端末1が備えるようにして、ユーザ端末1単体で健康情報提供システムを実現するようにすることができる。 Further, in the present embodiment, a client-server type system including the user terminal 1 and the management server 2 is assumed, but the functional unit and the storage unit of the management server 2 are provided in the user terminal 1 so that the user terminal 1 A single health information providing system can be realized.
  211 人物情報入力部
  212 類似度算出部
  213 ペルソナ特定部
  214 アドバイス取得部
  215 類似度出力部
  216 アドバイス出力部
  231 ペルソナ記憶部
  232 アドバイス記憶部
 
211 personal information input unit 212 similarity calculation unit 213 persona identification unit 214 advice acquisition unit 215 similarity output unit 216 advice output unit 231 persona storage unit 232 advice storage unit

Claims (7)

  1.  健康に関する情報を提供する健康情報提供システムであって、
     複数の架空人物について前記架空人物に関する第1の人物情報を記憶するペルソナ記憶部と、
     前記架空人物ごとに、前記架空人物の健康に関するアドバイスを記憶するアドバイス記憶部と、
     ユーザから前記ユーザに関する第2の人物情報の入力を受け付ける人物情報入力部と、
     前記第1および第2の人物情報を比較して、前記ユーザに類似する前記架空人物を特定するペルソナ特定部と、
     特定した前記架空人物に対応する前記アドバイスを前記アドバイス記憶部から読み出すアドバイス取得部と、
     読み出した前記アドバイスを出力するアドバイス出力部と、
     を備えることを特徴とする健康情報提供システム。
    A health information providing system for providing information on health,
    A persona storage unit that stores first person information regarding the fictitious persons for a plurality of fictitious persons;
    An advice storage unit that stores advice regarding the health of the fictitious person for each of the fictitious persons;
    A personal information input unit that receives input of second personal information regarding the user from the user;
    A persona identification unit that identifies the fictitious person similar to the user by comparing the first and second person information;
    An advice acquisition unit that reads out the advice corresponding to the identified fictitious person from the advice storage unit;
    An advice output unit that outputs the read advice,
    A health information providing system comprising:
  2.  請求項1に記載の健康情報提供システムであって、
     前記架空人物の特定は、前記第2の人物情報の前記入力の内容に基づいて定められる、
    健康情報提供システム。
    The health information providing system according to claim 1,
    The identification of the fictitious person is determined based on the content of the input of the second person information.
    Health information provision system.
  3.  請求項2に記載の健康情報提供システムであって、
     前記入力は、前記ユーザにより回答されたサーベイ情報であり、
     前記架空人物の特定は、少なくとも前記サーベイ情報の内容に基づいて定められる、
    健康情報提供システム。
    The health information providing system according to claim 2,
    The input is survey information answered by the user,
    The identification of the fictitious person is determined based on at least the content of the survey information,
    Health information provision system.
  4.  請求項1に記載の健康情報提供システムであって、
     前記第1または第2の人物情報には、前記架空人物または前記ユーザの属性が含まれ、
     前記アドバイス記憶部は、前記第1の人物情報と、前記架空人物に関する第1の健康状態とに対応付けて前記アドバイスを記憶しており、
     前記人物情報入力部は、前記第2の人物情報とともに、前記ユーザに関する第2の健康状態の入力を受け付け、
     前記アドバイス取得部は、前記特定した架空人物と前記第2の健康状態とに対応する前記アドバイスを前記アドバイス記憶部から読み出すこと、
     を特徴とする健康情報提供システム。
    The health information providing system according to claim 1,
    The first or second person information includes an attribute of the fictitious person or the user,
    The advice storage unit stores the advice in association with the first person information and a first health condition regarding the fictitious person,
    The personal information input unit accepts an input of a second health state regarding the user together with the second personal information,
    The advice acquisition unit reads out the advice corresponding to the identified fictitious person and the second health condition from the advice storage unit;
    A health information provision system characterized by.
  5.  請求項2に記載の健康情報提供システムであって、
     前記ペルソナ記憶部は、前記第1の人物情報を複数記憶しており、
     前記人物情報入力部は、前記第2の人物情報を1つ以上受け付け、
     前記ペルソナ特定部は、前記第2の人物情報のそれぞれについて、対応する前記第1の人物情報と一致するか否かを判定し、前記第2の人物情報と前記第1の人物情報とが一致した度合である類似度を算出し、前記類似度に応じて前記架空人物を特定すること、
     を特徴とする健康情報提供システム。
    The health information providing system according to claim 2,
    The persona storage unit stores a plurality of the first person information,
    The person information input unit receives one or more pieces of the second person information,
    The persona identifying unit determines whether or not each of the second person information matches the corresponding first person information, and the second person information and the first person information match each other. Calculating the degree of similarity which is the degree of, and specifying the fictitious person according to the degree of similarity,
    A health information provision system characterized by.
  6.  請求項3に記載の健康情報提供システムであって、
     前記類似度を出力する類似度出力部を備えること、
     を特徴とする健康情報提供システム。
    The health information providing system according to claim 3,
    A similarity output unit for outputting the similarity,
    A health information provision system characterized by.
  7.  請求項1に記載の健康情報提供システムであって、
     前記第1または第2の人物情報には、前記架空人物または前記ユーザの属性および前記架空人物または前記ユーザの健康状態が含まれること、
     を特徴とする健康情報提供システム。
    The health information providing system according to claim 1,
    The first or second person information includes an attribute of the fictitious person or the user and a health state of the fictitious person or the user,
    A health information provision system characterized by.
PCT/JP2019/033249 2018-12-08 2019-08-26 Health information provision system WO2020115958A1 (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010170534A (en) * 2008-12-25 2010-08-05 Kao Corp Health support system and health support method
WO2014006862A1 (en) * 2012-07-05 2014-01-09 パナソニック株式会社 Lifestyle disease improvement assistance system, lifestyle disease improvement assistance method, lifestyle disease improvement assistance computer program, and computer readable recording medium having stored lifestyle disease improvement assistance computer program

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004021854A (en) * 2002-06-19 2004-01-22 Omron Healthcare Co Ltd Health direction support system, server, client terminal, and health direction support program
US20070026365A1 (en) * 2005-02-04 2007-02-01 Entelos, Inc. Defining virtual patient populations

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010170534A (en) * 2008-12-25 2010-08-05 Kao Corp Health support system and health support method
WO2014006862A1 (en) * 2012-07-05 2014-01-09 パナソニック株式会社 Lifestyle disease improvement assistance system, lifestyle disease improvement assistance method, lifestyle disease improvement assistance computer program, and computer readable recording medium having stored lifestyle disease improvement assistance computer program

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