JP6069652B1 - HEALTH MANAGEMENT SERVER, ITS CONTROL METHOD, AND HEALTH MANAGEMENT MESSAGE APPLICATION PROGRAM - Google Patents

Abstract

A health management server capable of creating an advice message more suitable for a client is provided. The health management server of the present invention is a health management server connected via a network to a terminal having a message application, and stores health management subject information, question information, and answer information of the health management subject having the terminal. A storage unit, a receiving unit that receives image information or message information transmitted from a terminal via a message application, an analysis that analyzes language information based on the received message information, and acquires question information from the analyzed language information A response unit corresponding to the acquired question information, a generation unit that generates a sentence example based on the extracted response information, and the extracted response information is evaluated with a certainty factor indicating the probability of the response information An evaluation unit and a transmission unit that transmits the sentence example to the message application.

Description

  The present invention relates to a health management server, a control method thereof, and a health management message application program, and more particularly, to a health management server that manages a user's health using a message application.

  In recent years, health guidance services that receive expert guidance have become widespread in response to increasing health awareness such as diet and prevention of metabolic syndrome. In addition, with the shift to IT, there are increasing cases of receiving health guidance services on-line without direct contact between experts and clients.

  In such a health guidance service, the expert checks the meals taken by the client and the current health status from the online terminal, creates a message for guidance based on the confirmation result, and sends it to the client's online terminal. I need to send a message.

  As a technique for creating and transmitting such a message, for example, in Patent Document 1, in order for a doctor to send a health management advice message to a patient who is remote, the database server device receives biological information from the patient, A technique for generating a health management template message corresponding to received biological information is disclosed. Further, this document discloses that a doctor can acquire a generated template message and edit it as an advice message.

  Further, in Patent Document 2, the pointing device graphically displays any one of the measured biological signal, the feature pattern unit, the neutral net output, the movement direction estimation result, or the movement amount as the processing status of each unit during the point control. Discloses a technology including a feedback unit to be presented to the user.

JP 2004-321373 A JP 2005-011037 A

  However, in the invention described in Patent Document 1, the database server device needs to create an advice message from scratch for each patient by generating a template message for health management corresponding to biological information. Although standardization and efficiency have been achieved, template messages are generated from pre-saved message texts, so it is necessary for people to create and save template message texts for their variations in order to improve efficiency. There is an unsolved problem. In addition, the database device has a problem that it cannot generate a template message that is most suitable for the patient according to the characteristics of the biometric information for each patient and changes in the biometric information.

  In the invention described in Patent Document 2, it is possible to improve the direction estimation accuracy and the trajectory error by feeding back to the user, and thus to improve the operability. There is a problem that it does not contribute to the accuracy improvement of the device itself, and the usability of the pointing device itself does not change.

  Therefore, the present invention has been made in view of the above problems, and in creating and transmitting a message for guidance, it is possible to create an expert advice message from the client's biometric information, diet, health status, etc. Provide a server that can be standardized and streamlined, and that can provide advice that best suits the health status of the target client at the time, and improves the accuracy of the health guidance service itself through feedback. The purpose is to plan.

  According to the present invention, a health management server connected to a user terminal having a message application via a network, the storage unit storing question information and answer information of a health management target person having the terminal, and the message A receiving unit that receives image information or message information transmitted through an application, an analysis unit that analyzes language information based on the received message information, and acquires the question information from the analyzed language information; The answer information corresponding to the acquired question information is extracted, a generation unit that generates a sentence example based on the extracted answer information, and the extracted answer information is evaluated with a certainty factor indicating the certainty of the answer information. A health tube comprising: an evaluation unit for transmitting; and a transmission unit for transmitting the sentence example and the evaluation to the message application Server can be obtained.

  Further, according to the present invention, a health management server connected via a network to a user terminal having a message application, the storage unit storing question information and answer information of a health management target person having the terminal, A receiving unit that receives image information or message information transmitted via the message application, an analysis unit that analyzes language information based on the received message information, and acquires the question information from the analyzed language information; A health management server comprising: a generation unit that extracts the answer information corresponding to the acquired question information and generates a sentence example based on the extracted answer information; and a transmission unit that transmits the sentence example to the message application Is obtained.

  Further, according to the present invention, a message application having a function of communicating with the health management server according to the present invention can be obtained.

  Moreover, according to this invention, a user terminal provided with the message application by this invention is obtained.

  The health management server, the health management server control method, and the health management program according to the present invention respond to inquiries from clients (health management subjects) or experts based on the accumulated best practices in creating expert advice messages. A sentence example to be answered can be generated, and the generated sentence example can be customized with the characteristics of the client (biological information, meal, health condition at the time, etc.) and transmitted to the expert. Therefore, it is possible to standardize and improve efficiency in creating and transmitting an advice message for an expert, and it is possible to provide guidance more suitable for the client.

  In addition, the health management server, health management server control method, and health management program according to the present invention can learn by feedback of selection results and execution results of the client's advice and changes in the living body, so that accuracy improvement is automatically performed. A health guidance service can be provided.

It is a figure which shows the structure of the health management system by the 1st Embodiment of this invention. It is a screen display figure of the user terminal (health manager side) of FIG. It is a block diagram which shows the function structure of a health management server and a terminal. It is a schematic diagram for demonstrating interaction between a health manager and a health management server or a specialist. It is a schematic diagram for demonstrating the feedback to a health management server. It is a schematic diagram which shows the example of a combination of action selection information, action execution information, and biological log information. It is a data conceptual diagram which shows the data structural example of health management object person information and learning information. It is a schematic diagram which shows the example of correction | amendment of evaluation of reply information. It is a schematic diagram which shows the example of the relationship between message information, language information, question information, answer information, and a sentence example. It is a flowchart which shows operation | movement of a server. It is a schematic diagram which shows the example of a genetic test | inspection algorithm. It is a schematic diagram which shows the example of a blood test | inspection algorithm. It is a schematic diagram which shows the example of a content delivery algorithm. It is a block diagram which shows the function structure of the user terminal of the health care system by the 2nd Embodiment of this invention. It is a flowchart which shows operation | movement of the user terminal of FIG. It is a figure which shows the example of the server which can be connected to the user terminal of FIG.

  Hereinafter, a health management system according to a first embodiment of the present invention will be described with reference to the drawings.

<First Embodiment>
FIG. 1 is a system diagram showing a system configuration of a health management system according to the first embodiment.

<Overview>
As shown in FIG. 1, the health management system includes a health management server 100 and a plurality of user terminals 200 and 300. The health management server 100 is connected to the user terminal 200 and the user terminal 300 via the network 400. In FIG. 1, only two user terminals are shown for ease of explanation, but it goes without saying that there may be more user terminals. In addition, specific devices of both the user terminal 200 and the user terminal 300 are not limited to the portable terminal and the personal computer as illustrated, and may be, for example, a smartphone, a tablet terminal, a personal computer, and other electronic devices. Good. Furthermore, the specific device of the user terminal 200 may be a wearable device, and the wearable device stores the heart rate and pulse rate, blood pressure, number of steps and activity amount, posture, position and movement, and position information of the health care target person. Includes equipment to be measured.

  Here, for example, it is assumed that the user terminal 200 indicates a terminal held by a health care target person, and the user terminal 300 indicates a terminal held by an expert. The user terminal 200 has a message application (chat application) that accepts an input format such as text input or voice input. For example, the health management target person transmits a question message asking for a meal to be ingested to the health management server 100 via the message application.

  When the server 100 receives the question message, the server 100 analyzes the question message, generates a sentence example from the corresponding answer information, and evaluates the answer information. The sentence example and the evaluation are directly transmitted to the user terminal 200 as an advice message or displayed on the user terminal 300. In the latter case, the expert selects a sentence example to be transmitted to the health care target person from the displayed sentence example and evaluation, and edits it as necessary. The server 100 transmits to the user terminal 300 the sentence example and evaluation selected or edited by the expert as an advice message. When the advice message is transmitted to the user terminal 200, the message is also transmitted to the health care target person via the message application shown in FIG.

  As the message input by the user, a question requesting some kind of answer, affirmation or denial of the message received from the server, and various other messages can be input. The server 100 makes an optimal answer to the message transmitted from the user. For example, as shown in FIG. 2, the server 100 refers to the user's action history etc. in response to the user's “Recommended lunch?” Question message 2001, and “Today's breakfast had less vegetables. "Let's eat a lot of vegetables." On the other hand, when the user asks “Is there a shop nearby?”, The server 100 acquires the location information of the user terminal 200, searches for a nearby shop, and reads “A shop for Japanese food, B shop for Italian food. Yes, which one do you want? "Send a message asking the user. When the user inputs an answer “in store A”, the server 100 has a map application provided in advance in the user terminal 200 to display a route from the current position of the user terminal 200 to the store (store A) selected by the user. Start up.

  As described above, the server 100 transmits the advice message or the advice message selected and edited by the expert at the user terminal 300 to the user terminal 200 via the server 100, so that the health management target person can perform health management. For guidance. In addition, the said instruction | indication may be performed for every health manager individually, and health management object person may be grouped and you may instruct | indicate in the said group unit. Here, grouping refers to grouping for performing group guidance for a plurality of health care subjects.

<Configuration>
Hereinafter, configurations of the server 100, the user terminal 200, and the user terminal 300 will be described. FIG. 3 is a block diagram illustrating functional configurations of the server 100, the user terminal 200, and the user terminal 300. As illustrated in FIG. 3, the server 100 includes a reception unit 110, an analysis unit 120, a generation unit 130, an evaluation unit 140, a correction unit 150, a storage unit 160, and a transmission unit 170. The

  The receiving unit 110 receives image information and message information transmitted from the user terminal 200 or the user terminal 300 via the network 400. Communication in the transmission / reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.

  The analysis unit 120 analyzes the language information based on the question information stored in the storage unit 160 from the message information sent from the user terminal 200 or the user terminal 300, or the analyzed language information or the analyzed language It has a function to search and acquire corresponding question information using the information and the health management subject information of the target health management subject as a key. Here, the analysis of linguistic information specifically means that the text of the message information is converted into a more formal expression. For example, it is performed using natural language processing techniques such as morphological analysis and syntax analysis. Just do it. Here, the question information refers to a set of words or the like broken down into formal elements that can be recognized by a computer as input information for deriving answer information from language information as shown in FIG.

  The analysis unit 120 calculates not only the message information received by the reception unit 110 but also the characteristics of the received image information, and analyzes the language information based on the calculated characteristics, the question information, and the health management target person information. It also has a function.

  Furthermore, the analysis unit 120 has a function of analyzing the characteristics of the living body based on the biological information and the biological log information of the health care target person and calculating the characteristic value of the living body. Here, the biological feature value and the behavior tendency value are a value calculated by trend estimation or the like from biological information, biological log information and behavior information, and a self-reported biological feature value or behavior interviewed in a lifestyle questionnaire, respectively. It means the trend value. In the calculation, analysis methods such as trend estimation, factor analysis, correlation analysis, and statistical analysis may be used.

  The generation unit 130 extracts answer information that is a sentence example candidate using the language information analyzed by the analysis unit 120. Here, the answer information means, as a best practice corresponding to the question information, association with the question information, answer contents, and past evaluation of the answer information. In the extraction, for example, a data mining technique such as extraction of analog patterns and classification may be used. A hypothesis is generated by inference from the extracted answer information, and the hypothesis is verified from the question information and the answer information by finding a ground for supporting the hypothesis or a disproval for negating it. In the inference, for example, deductive reasoning, inductive reasoning, and stochastic reasoning may be used. Extraction of answer information as candidate sentence examples, generation and verification of hypotheses are simultaneously performed in parallel processing. Integrate verification results processed in parallel and generate example sentences

  The evaluation unit 140 evaluates the certainty of the answer information that is a candidate sentence example extracted by the generation unit 130 based on the evidence that the generation unit 130 finds and the past evaluation of the answer information. Here, confidence is the degree to which the sentence example is shown, and it is an index that indicates the importance of the association rule in data mining. When an event occurs in which question information is input, the corresponding answer information is selected. The rate at which events that occur or are acted on occur.

  Further, as shown in FIG. 4, the evaluation unit 140 determines whether the certainty level is higher or lower than a predetermined level, and if the evaluation unit 140 determines that the certainty level is lower than the predetermined level, the evaluation unit 140 avoids from the reply information stored in the storage unit 160. Answer information is extracted, and the extracted answer information is overwritten and corrected, or an alert message including the sent message information, sentence examples, and evaluation is transmitted to the user terminal 200 of the expert.

  Here, reply information for avoidance is reply information including reply contents indicating that the message contents could not be understood or an appropriate reply was not found, regardless of the contents of the sent message information. Say. For example, “I ’m sorry. I ’m sorry to hear that there ’s no appropriate answer to the content of the inquiry, so please call me again.” Or “I ’m sorry. In order to understand the content of the inquiry accurately, Please refer to the content of the inquiry again in specific words as much as possible. Please contact us again. "

  According to the health management server, the health management server control method, and the health management program according to the present invention, the certainty level is lower than a certain level, for example, the message information including the incorrect answer to the question or the inappropriate content as it is. It is possible to avoid sending to a health care subject and maintain highly accurate advice.

  Furthermore, as shown in FIG. 5, the evaluation unit 140 is a health management target included in the expert sentence example selection information received from the user terminal 300 by the receiving unit 110 and the message information and image information received from the user terminal 200. The answer information is evaluated based on the person's action selection information, action execution information, and biological log information. Specifically, as shown in FIG. 6, for example, the evaluation unit 140 performs a combination based on sentence example selection information, action selection information, action execution information, biometric log information time stamps, and the like. , Evaluate. In addition to the combination, the information may be evaluated alone.

  The combination includes, for each expert and health care target person, action execution information that holds a time stamp within a predetermined time, based on the sentence selection information and the time stamp of action selection information corresponding to the sentence selection information. Biolog information can be combined. Here, the predetermined time may be any time such as 15 minutes, 30 minutes, 1 hour, 3 hours or 5 hours, but it should be set according to the lifestyle such as eating and exercising. Is preferred. At this time, if the corresponding action information and biological log information cannot be received, it can be handled as no evaluation or negative evaluation.

  The response information associated with the combined sentence example selection information, action selection information, action execution information, and biometric log information has a high degree of certainty initially evaluated by the evaluation unit 140, is being executed according to advice, or the living body is a curriculum Response information that has changed toward the set target in the information has a higher evaluation as being more suitable, and evaluation information that has a lower degree of certainty, is not being executed as advice, or does not change the living body, has a lower appropriateness Can be fed back based on the objective facts.

  For example, as shown in FIG. 6, as shown in FIG. 6, when the recommendation rank, that is, the advice having the highest certainty level is selected and the action is performed according to the advice, as a result, a change in the living body toward the set target occurs. Feedback with a weight of 1 as an evaluation of points, acted as advice, and as a result, a change in the body toward the setting target occurred, but when advice that is not the advice with the highest certainty is selected, compare with the former Feedback with a weighting of 0.8 can be made as an evaluation of 80 points of low evaluation. In addition, what is necessary is just to set these combination patterns and the evaluation value for every said pattern suitably.

  Further, when the user terminal 200 of the health care target person is grouped, the evaluation unit 140 also performs the same grouping in which a sentence example that is the same as, similar to, or opposite to the sentence example transmitted to the user terminal 200 is transmitted within a predetermined time. A health care target person who owns a terminal that is used is determined as a comparison target person. Here, the comparison target person is another health management target person who belongs to the same group and needs the same or similar guidance for comparison as a rival, or a target. A person who is subject to health care who needs completely conflicting instruction for comparison as a person or a teacher. Specifically, another health care target person who transmits the same, similar, or opposite sentence examples within a predetermined time is determined as a comparison target person.

  The correction unit 150 corrects the ranking based on the certainty degree evaluated by the evaluation unit 140 with the health management target person information and the comparison target person information. Specifically, the evaluation is corrected by correction values based on biometric information, behavior information, biolog information, biometric feature values, behavior tendency values, etc. of the health management subject, and ranking is based on the corrected evaluation. Or to correct the sentence example based on the biological information, behavior information, biological log information, and comparison target person information of the health management target person. Details of the correction processing will be described in <Operation flow> described later. The health management subject information is shown in <Data> described later.

  According to the health management server, the health management server control method, and the health management program according to the present invention, by correcting the sentence examples and the evaluation with the information about the health management target person stored in the storage unit 160, In addition, since it is possible to automatically send an advice message customized according to the state of the situation, it is possible to provide content (such as a message) that fits the health care target.

  The calculation unit 155 has a function of calculating the usage frequency of the sentence example. Specifically, the calculation unit 155 counts up with the subject sentence example selected by the expert as a trigger. The calculation unit 155 may count up the use frequency for each health care curriculum of the health care target person and reset the curriculum when the curriculum is completed.

  The storage unit 160 stores health management subject information, question information, and answer information. The storage unit 150 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory.

  The transmission unit 170 transmits the sentence examples and evaluations generated and corrected by the server 100 as advice messages, or the sentence examples and evaluations selected and edited by experts as advice messages, to the user terminal 200. Further, the server 100 has a function of transmitting the sentence example and evaluation generated and corrected by the server 100 to the user terminal 300. Communication in the transmission is the same as that of the reception unit 110.

  As illustrated in FIG. 3, the user terminal 200 includes a reception unit, a reception unit, an action selection unit, an action execution determination unit, a biological log storage unit, and a message application module.

  The message application module includes a conversation log storage unit and an input / output unit. The message application module is an interface application interposed between the user and the server 100. The acquired question information from the user is transmitted to the server 100, and the information received from the server 100 is transmitted to the user. These information items are exchanged in a message-based conversation format via the input / output unit. Messages via the input / output unit are displayed in time series on the screen of the user terminal 200, for example.

  The message application module according to the present embodiment is not limited to one that communicates only with the server 100. For example, communication with the server 100 may be performed using a part or all of functions of a normal message application.

  Thus, according to the present embodiment, since the history of interaction with the server 100 or the user terminal 300 can be left in the message application, thorough health management can be performed by browsing later. In addition, by using a message application that is frequently used in a device typified by a smartphone or the like, the operation load on the user can be reduced.

  As shown in FIG. 3, the user terminal 300 includes a display unit 310. The display unit 310 communicates with the health management server 100 via the network 400 to display and output the sentence examples and evaluations received from the server 100.

  The display unit 310 displays and outputs information related to the comparison target person when the health management target person is grouped and the comparison target person is determined. Specifically, the display is output such as “Mr. XX is the current rival”. Further, when the sentence example transmitted to the comparison target person within a predetermined time is specified together with the display output of the comparison target person, the display unit 310 is specified when the sentence example is displayed and output. Displays information about the sentence examples. Specifically, a message such as “Sent to rival Mr. XX” is displayed and output directly under the target sentence.

  This completes the description of the functional configurations of the health management server 100, the user terminal 200, and the user terminal 300.

<Data>
Here, in the present embodiment, the data configuration of the health management target person information and the learning information stored in the storage unit 160 is shown in FIG.

  FIG. 7 is a data conceptual diagram showing an example of the data structure of the health management subject information and learning information stored in the storage unit 160.

  As shown in FIG. 7, the health management target person information is largely composed of biometric information, curriculum information, sentence example usage information, behavior information, and biometric log information.

  The biometric information is composed of information related to the health management subject from both the subjective and objective aspects of the health management subject, such as genetic information, blood information, screening information (height and weight) and lifestyle questionnaire information of the health management subject. Of the information related to the living body of the health management subject, basic information and invariant information can be included.

  The curriculum information is composed of program information selected by the health care target person, course information in which one or more program information is combined, and set target information.

  The sentence usage information is composed of the sentence usage history and the sentence usage frequency. Here, the sentence usage history information includes the sentence examples used in the past for each health care target person and the last sentence example. This refers to either one or both of the last used date and time.

  The behavior information includes meal information (meal time and meal contents), position information and movement information, and login information (login time and login frequency). The behavior information is information regarding the daily activities of the health management target person acquired by the user terminal 200, and includes text data and image data indicating the contents of the meal received from the user terminal 200, and time associated therewith. The meal information is included in the stamp, or the current position information obtained from the GPS data recorded in the user terminal 200 and the movement information obtained from the position information measured at a certain time and the position information measured at the next time. And information such as the login time of the service provided by the health management server 100 and the login frequency within a certain period (one day, week, month, etc.) can be included. Furthermore, the behavior information can include a login access history obtained from the user terminal 200 or the information site of the login destination, and a purchase history in which a health care target person has purchased health foods such as supplements, health appliances, training machines, and the like. Further, the behavior information can include login information and logout information on the user terminal 200 that informs selection or completion of a task on an application for health management such as a diet.

  The biometric log information includes heartbeat and pulse information, blood pressure information, the number of steps, the amount of activity, and posture information. The biometric log information is information that records the biological status and changes of the health management subject. When the user terminal 200 is a wearable device or a terminal that cooperates with the wearable device, the wearable device Information can be measured and recorded information can be included. For example, the biological log information includes sleep (such as REM sleep or non-REM sleep) information that is determined by sensing the movement of the health care target person based on an acceleration sensor built in the user terminal 200.

  As described above, the information on the subject of health management includes the genetic information of the subject health management subject himself / herself, blood information, biometric information such as examination information, curriculum information, sentence usage information, and health management target selected by the health management subject. It is not limited to attribute information such as behavior information and receipt information acquired from the person himself. The health management target person information is a concept including sleep state identification information obtained from the user terminal 200 in addition to the biological and health attribute information provided from the health management target person himself. Furthermore, the health management target person information includes the user terminal 200 of the health management target person such as the purchase history of health foods such as supplements, health appliances, training machines, etc., the login time, and the click rate (CTR) to the advertisement / information website. It is a concept that includes a wide range of information obtained from information sites at login destinations.

  According to the health management server and health management server control method and health management program according to the present invention, these pieces of information are stored in the storage unit 160 and can be learned by feeding back various information. In addition to providing timely content (messages, etc.) to health care subjects, it is possible to provide a health guidance service that can automatically improve accuracy.

  The user terminal 200 question information refers to a set of words or the like broken down into formal elements that can be recognized by a computer as input information for deriving answer information from language information, as shown in FIG.

  The answer information includes correspondence with question information, answer contents (answer word and index), and past evaluations. The association with the question information only needs to be able to associate the question information with the answer information, and may be a number assigned to the question information in a sequence, for example. The answer contents are composed of answer words and indicators, and the answer words include the contents of recipes, fitness, tasks, restaurants, etc. that are output information for the question, for example, the answer to the consultation or question, or the advice for the inquiry Can do. The index indicates characteristics associated with the answer word, and can include, for example, numerical values indicating characteristics such as task load, efficiency, ease, effect, fashion, and economy included in the answer word. The past evaluation is a set of evaluations that each answer information has received so far. Specifically, the evaluation unit 140 can include confidence statistics and the like calculated so far. Further, the evaluation unit 140 calculates a certainty factor based on the past evaluation.

<Operation>
The operation of the health management server 100 according to this embodiment will be described. The operation of the health management server 100 will be described with reference to FIG. FIG. 10 is a flowchart showing the operation of the health management server 100. The receiving unit 110 receives image information or message information sent from the user terminal 200 of the health care target person (step S11). The receiving unit 110 transmits the received image information or message information to the analyzing unit 120.

  The analysis unit 120 analyzes language information from the received image information or message information, and obtains question information (step S12). For example, as shown in FIG. 9A, for example, when message information for inquiring a recommended task from a health care target person such as “What is recommended for resolving lack of exercise” is received, Natural language is processed, and language information is decomposed into morphemes such as “insufficient /// resolve / do / for / what / what / recommend /?” As shown in FIG. 9B. Then, determine each part of speech. For example, as shown in FIG. 9 (c), as the search information, information such as age 20 years, height 170 cm, weight 60 kg is used as the search key as the language information and the subject health care target person information. The corresponding question information is searched from the question information stored in 160, and the question information is acquired as shown in FIG. The acquired question information is transmitted to the generation unit 130.

  As illustrated in FIG. 9E, the generation unit 130 extracts answer information associated with the question information as an example, and generates a hypothesis from the extracted answer information. Verification is performed with the supporting grounds (S13). Further, as shown in FIG. 9F, the generation unit 130 generates a sentence example as an example from the verified answer information (step S15), and generates the generated sentence example and the certainty degree evaluated by the evaluation unit 140. In addition, it is transmitted to the correction unit 150. In FIG. 9 (f), a radio button for selecting a recommended recommended task is provided in the sentence example, and information is acquired by specifying the radio button. The evaluation unit 140 may acquire and select the action selection information from the message information such as “I would like to stretch among recommended tasks” as the reply message information of the health care target person.

  The evaluation unit 140 evaluates the certainty factor of the response information extracted by the generation unit 130 based on the grounds verified by the generation unit 130 and the past evaluation of the response information (step S14). The evaluated certainty factor is transmitted to the generating unit 130.

  The correcting unit 150 corrects the sentence example and the evaluation based on the health management target person information (step 16). Specifically, as an example, as shown in FIG. 8A, when the extracted answer information is evaluated for certainty in the order of jogging, stretching, swimming, and dietary restrictions, the recommendation ranking is also evaluated. Once set in order. Here, for example, with respect to the “load” of the index of each recommended task, as shown in FIG. 8 (c), “high load” in the chart indicating the tendency value of the behavior of the corresponding health management subject If the action tends to be “does not execute against the advice”, there is a possibility that the recommended content does not necessarily match the subject of the health care.

  Therefore, in the case of this tendency, the weight of the “load” indicator is negatively weighted, the sum of the indicators is calculated as a correction value, and the certainty factor is corrected by, for example, adding the correction value to the certainty factor. be able to. The correction method is not limited to the calculation method. For example, the correlation coefficient between the two values of the biological feature value or the behavior tendency value and the value of one of the indices is expressed as two values. It can also be obtained from the covariance and standard deviation and corrected using the correlation coefficient. By replacing the ranking of recommendations as shown in FIG. 8B based on the evaluation after correction, it is possible to advise the recommended tasks that are more suitable for the health care target. In the correction, not only the tendency of the health care target person with respect to the task but also the history and frequency of the task used in the sentence example as shown in FIG. The corrected sentence example and evaluation are transmitted to the evaluation unit 140.

  The evaluation unit 140 determines whether or not the health management target person is grouped. If the group is grouped (YES in step S17), the group that transmits the same, similar, or opposite illustration within a predetermined time The other health management target person is determined as a comparison target person as a rival or target person, and the determination is transmitted to the correction unit 150.

  The correcting unit 150 corrects the sentence example and the evaluation with the information regarding the determined comparison target person (step S18). Specifically, for example, the name of the person to be compared is specified in the example, and “Mr. △△ (the person to be compared) is jogging recommended to Mr. XX (the person who is subject to health care). It can be corrected by adding a sentence such as “!”. The correction unit 150 transmits the determined and corrected sentence example and evaluation to the transmission unit 170.

  The transmission unit 170 determines from the curriculum information whether or not the curriculum has a follower of the expert. If the curriculum has the follower (YES in step S19), the transmission unit 170 generates and corrects the display unit 310 of the user terminal 300 of the expert. A sentence example and an evaluation are displayed and output (step S20).

  Regarding the sentence example displayed and output on the display unit 310, the expert selects the sentence example as the one to be transmitted to the health management subject, and edits the selected sentence example and the evaluation as necessary (step S21). The display unit 310 transmits the selected and edited sentence example and evaluation to the transmission unit 170.

  The transmission unit 170 transmits the transmitted sentence example and evaluation to the user terminal 200 (step S22). The above is the description of the operation of the health management server 100.

  As shown in FIG. 11, the health management server 100 performs a cross-analysis based on the lifestyle survey results of the health management target person and the genetic test results of the health management target person, and the lifestyle, eating habits, or exercise habits. Can improve the standardization and efficiency of report creation for guidance aimed at improving Specifically, the health management server 100 extracts concerns about the health of the health management target person and the characteristics of the lifestyle from the lifestyle questionnaire result of the health management target person, and extracts the extracted content and the health management target person's characteristics. The result of the genetic test is stored in the storage unit 160, the stored data is filtered and scored, cross analysis is performed, and a report is automatically generated from the analysis result, thereby standardizing the creation and Increase efficiency. The extraction and cross analysis are performed by the analysis unit 120, and the report is generated by the evaluation unit 140.

  In addition, as shown in FIG. 12, the health management server 100 performs a cross analysis based on the lifestyle questionnaire result of the health management subject and the blood test result of the health management subject, and improves the habit to be improved. In addition, it is possible to standardize and improve the efficiency of creating reports for the purpose of continuation of habits to be continued. Specifically, the health management server 100 extracts the lifestyle related to the blood of the health management subject from the lifestyle questionnaire result of the health management subject, and extracts the extracted content and the blood test of the health management subject. The results are stored in the storage unit 160, the stored data is filtered and scored, cross analysis is performed, and a report is automatically created from the analysis results, thereby standardizing and improving the efficiency of the creation. Plan. The extraction and cross analysis are performed by the analysis unit 120, and the report is generated by the evaluation unit 140.

  In addition, as shown in FIG. 13, the health management server 100 is based on the behavior history (hereinafter referred to as “log”) of the health management target conducted in the past, lifestyle questionnaire results, genetic test results, and blood test results. By cross-analyzing and delivering content aimed at providing tasks, training and fitness videos, ideal meals, and health knowledge that are effective for diet and lifestyle activities performed by health care subjects, It is possible to reduce the burden on expert guidance.

  Specifically, the health management server extracts behavioral changes and concerns of the health management target person from the log, the lifestyle questionnaire result and the life style questionnaire result of the health management target person, and the extracted contents and the health management target The results of the genetic test and blood test of the person are stored in the storage unit 160, the stored data is filtered and scored, cross analysis is performed, and content distribution is performed based on the analysis result, thereby providing expert guidance. To reduce the load. The extraction and cross analysis are performed by the analysis unit 120, and the content distribution is performed by the transmission unit 170.

<Second Embodiment>
In the first embodiment, the server 100 generates an answer to the question information transmitted from the user terminal 200. However, the user terminal 200 may perform the processing performed by the server 100 according to the first embodiment. An example of the configuration of such a terminal is shown in FIG. The user terminal 200 a includes a health management module 101, a message application module 102, and a user information module 103. Hereinafter, description of the same elements as those of the first embodiment will be omitted and simplified.

<Overview>
FIG. 14 is a system diagram showing a system configuration of a health management system according to the second embodiment.

  As shown in FIG. 14, the health management system includes a user terminal 200a. The user terminal 200a is connected to the user terminal 300 via the network 400. For the sake of simplicity, only the user terminal 200a is shown in the figure, but it goes without saying that there may be more user terminals. For example, the user terminal 300 (see FIG. 1) may be connected to the user terminal 200a via the network 400.

  As in the first embodiment, it is assumed that the user terminal 200a indicates a terminal owned by a health care target person, and the user terminal 300 indicates a terminal held by an expert. The user terminal 200a accepts, via the message application 202, a question message for inquiring about a meal to be ingested by the function of a message application module that accepts an input format such as text input or voice input (details will be described later). Transmit to module 201.

  When the health management module 201 receives the question message, the health management module 201 analyzes the question message, generates a sentence example from the corresponding answer information, and evaluates the answer information. The sentence example and the evaluation are directly transmitted to the message application module 102 as an advice message (may be output to the user terminal 300 as shown in FIG. 1). In this case, an expert having the user terminal 300 (not shown) selects a sentence example to be transmitted to the health care target person from the displayed sentence examples and evaluation, and edits it as necessary. The health management module 100 transmits to the message application module 102 the sentence example and evaluation selected or edited by the expert as an advice message.

<Configuration>
Hereinafter, the configuration of the user terminal 200a will be described.

  The health management module 201 is a module having the same function as that of the server 100 (see FIG. 3) according to the first embodiment, and includes an analysis unit 120, a generation unit 130, an evaluation unit 140, , A correction unit 150, a calculation unit 155, and a storage unit 160.

  The analysis unit 120 analyzes the language information based on the question information stored in the storage unit 160 from the message information sent from the message application module 202, or analyzes the analyzed language information or the analyzed language information and target It has a function of searching for and obtaining corresponding question information using the health management subject information of the health management subject as a key.

  The generation unit 130 extracts answer information that is a sentence example candidate using the language information analyzed by the analysis unit 120. In the extraction, for example, a data mining technique such as extraction of an extraction pattern and classification may be used.

  The evaluation unit 140 evaluates the certainty of the answer information that is a candidate sentence example extracted by the generation unit 130 based on the evidence that the generation unit 130 finds and the past evaluation of the answer information.

  Further, as shown in FIG. 4, the evaluation unit 140 determines whether the certainty level is higher or lower than a predetermined level. Answer information is extracted, and the extracted answer information is overwritten and corrected, or an alert message including the sent message information, sentence examples, and evaluation is transmitted to the user terminal 300 of the expert.

  According to the health management server, the health management server control method, and the health management program according to the present invention, the certainty level is lower than a certain level, for example, the message information including the incorrect answer to the question or the inappropriate content as it is. It is possible to avoid sending to a health care subject and maintain highly accurate advice.

  The correction unit 150 corrects the ranking based on the certainty degree evaluated by the evaluation unit 140 with the health management target person information and the comparison target person information. Specifically, the evaluation is corrected by correction values based on biometric information, behavior information, biolog information, biometric feature values, behavior tendency values, etc. of the health management subject, and ranking is based on the corrected evaluation. Or to correct the sentence example based on the biological information, behavior information, biological log information, and comparison target person information of the health management target person. The details of the correction process and the health management target person information are the same as those shown in <Operation flow> and <Data> according to the first embodiment.

  According to the health management system according to the present invention, the sentence examples and the evaluation are corrected with the information related to the health management target person stored in the storage unit 160, so that each health management target person can be adapted to the state of the occasion. Since it is possible to automatically send customized advice messages, it is possible to provide contents (such as messages) that are more fit for health care subjects.

  The calculation unit 155 has a function of calculating the usage frequency of the sentence example.

  The storage unit 160 stores health management subject information, question information, and answer information.

  The message application module 202 includes a conversation log storage unit and an input / output unit. The message application module 202 is an interface application that is interposed between the user and the health management module 201. The acquired question information from the user is transmitted to the health management module 202, and the information received from the health management module 201 is transmitted to the user. These information items are exchanged in a message-based conversation format via the input / output unit. Messages via the input / output unit are displayed in time series on the screen of the user terminal 200a, for example.

  The message application module according to the present embodiment is not limited to one that communicates only with the server 100. For example, communication with the server 100 may be performed using a part or all of functions of a normal message application.

  As described above, according to the present embodiment, since the history of interaction with the user terminal 200 (server 100) can be left in the message application, thorough health management can be performed by browsing later. . In addition, by using a message application that is frequently used in a device typified by a smartphone or the like, the operation load on the user can be reduced.

<Operation>
The operation of user terminal 200a according to the present embodiment will be described with reference to FIG. The message application module 202 (input / output unit) receives image information or message information input from a health care subject (step S11). The message application module 202 transmits the received image information or message information to the analysis unit 120.

  The analysis unit 120 analyzes language information from the received image information or message information, and obtains question information (step S12). Similar to the first embodiment, for example, as shown in FIG. 9A, for example, as shown in FIG. 9A, a recommended task from a health care target person such as “What is recommended for resolving lack of exercise”? When the message information inquiring is received, the natural language is processed, and as the language information, as shown in FIG. 9 (b), “insufficient operation / to / resolve / to / for / what / recommend / It is decomposed into morphemes such as “/?”, And each part of speech is determined. For example, as shown in FIG. 9 (c), as the search information, information such as age 20 years, height 170 cm, weight 60 kg is used as the search key as the language information and the subject health care target person information. The corresponding question information is searched from the question information stored in 160, and the question information is acquired as shown in FIG. The acquired question information is transmitted to the generation unit 130.

  As illustrated in FIG. 9E, the generation unit 130 extracts answer information associated with the question information as an example, and generates a hypothesis from the extracted answer information. Verification is performed with the supporting grounds (S13). Further, as shown in FIG. 9F, the generation unit 130 generates a sentence example as an example from the verified answer information (step S15), and generates the generated sentence example and the certainty degree evaluated by the evaluation unit 140. In addition, it is transmitted to the correction unit 150. In FIG. 9 (f), a radio button for selecting a recommended recommended task is provided in the sentence example, and information is acquired by specifying the radio button. The evaluation unit 140 may acquire and select action selection information from message information such as “I would like to stretch among recommended tasks” as input message information of a health care target person.

  The evaluation unit 140 evaluates the certainty factor of the response information extracted by the generation unit 130 based on the grounds verified by the generation unit 130 and the past evaluation of the response information (step S14). The evaluated certainty factor is transmitted to the generating unit 130.

  The correcting unit 150 corrects the sentence example and the evaluation based on the health management target person information (step 16). Specifically, as an example, as shown in FIG. 8A, when the extracted answer information is evaluated for certainty in the order of jogging, stretching, swimming, and dietary restrictions, the recommendation ranking is also evaluated. Once set in order. Here, for example, with respect to the “load” of the index of each recommended task, as shown in FIG. 8 (c), “high load” in the chart indicating the tendency value of the behavior of the corresponding health management subject If the action tends to be “does not execute against the advice”, there is a possibility that the recommended content does not necessarily match the subject of the health care.

  Therefore, in the case of this tendency, the weight of the “load” indicator is negatively weighted, the sum of the indicators is calculated as a correction value, and the certainty factor is corrected by, for example, adding the correction value to the certainty factor. be able to. The correction method is not limited to the calculation method. For example, the correlation coefficient between the two values of the biological feature value or the behavior tendency value and the value of one of the indices is expressed as two values. It can also be obtained from the covariance and standard deviation and corrected using the correlation coefficient. By replacing the ranking of recommendations as shown in FIG. 8B based on the evaluation after correction, it is possible to advise the recommended tasks that are more suitable for the health care target. In the correction, not only the tendency of the health care target person with respect to the task but also the history and frequency of the task used in the sentence example as shown in FIG. The corrected sentence example and evaluation are transmitted to the evaluation unit 140.

  Note that if the server 100 according to the first embodiment is used as an auxiliary, information on the other grouped user terminals 200a can be acquired. In this case, the evaluation unit 140 determines whether the health management target person is grouped. If the person is grouped (YES in step S17), the evaluation unit 140 acquires the information and is the same or similar within a predetermined time or Other health management subjects in the group transmitting the opposite illustrations are determined as comparison targets as rivals or targets, and the determination is transmitted to the correction unit 150.

  The correcting unit 150 corrects the sentence example and the evaluation with the information regarding the determined comparison target person (step S18). Specifically, for example, the name of the person to be compared is specified in the example, and “Mr. △△ (the person to be compared) is jogging recommended to Mr. XX (the person who is subject to health care). It can be corrected by adding a sentence such as “!”. The correction unit 150 transmits the determined and corrected sentence example and evaluation to the transmission unit 170.

  When the user terminal 200a is connected to the user terminal 300 (see FIG. 1), the user terminal 200a determines from the curriculum information whether the curriculum has an expert follow-up, and if the curriculum has a follow-up (step S19). YES), the sentence example and evaluation generated and corrected are displayed and output on the display unit 310 of the user terminal 300 of the expert (step S20).

  With respect to the sentence example displayed and output on the display unit 310 (FIG. 1), the expert selects the sentence example to be transmitted to the health management subject, and edits the selected sentence example and evaluation as necessary (step S21). The display unit 310 transmits the selected and edited sentence example and evaluation to the user terminal 200a (step S22).

  The above is the description of the operation of the user terminal 200a.

<Others>
Although the health guidance service is taken up as a service according to the present invention, the present invention can also be used in other businesses. In particular, businesses that use people's psychology and spiritual actions (for example, businesses that give advice to increase human motivation), welfare (for example, when specialists provide remote advice on the welfare of local communities, etc.) ), Can be used in business such as education.

  In addition to the health management server, the user terminal (user terminal 200, 200a) may be connected to any data server having information that can be presented to the user, such as a map server or a weather data server.

<Appendix>
According to the present invention, at least an invention having the following configuration is included in the technical scope.
(Configuration 1)
A health management server connected to a user terminal having a message application via a network, the storage unit storing question information and answer information of a health management target person having the terminal, and transmitted via the message application Corresponding to the acquired question information, a receiving unit that receives the received image information or message information, an analysis unit that analyzes language information based on the received message information, and acquires the question information from the analyzed language information Extracting the answer information, generating a sentence example based on the extracted answer information, evaluating the extracted answer information with a certainty factor indicating the certainty of the answer information, A health management server comprising: a sentence unit and a transmission unit that transmits the evaluation to the message application.
(Configuration 2)
The health management server according to Configuration 1, wherein the storage unit further stores health manager information of the health manager, and the health management server receives the sentence example and the evaluation as the health management target. A health management server, further comprising a correction unit configured to correct based on the person information, wherein the transmission unit transmits the corrected sentence example and the evaluation to the terminal.
(Configuration 3)
The health management server according to Configuration 2, wherein the health management server displays and outputs the corrected sentence example and the evaluation on the display unit of the terminal via the message application.
(Configuration 4)
The health management server according to Configuration 3, wherein the transmission unit transmits advice information including sentence examples and evaluations selected or selected and edited by the expert on the display unit to the message application. Health management server to do.
(Configuration 5)
The health management server according to Configuration 2, wherein the evaluation unit determines whether the evaluation has a certain level of certainty, and corrects a sentence based on the determination result, or sends an alert message. One of generating and notifying an expert, and the correction unit, when the evaluation unit selects to correct a sentence, the determination result and answer information for avoidance The transmitter corrects the sentence example, and the transmitter, when the evaluation unit chooses to notify the expert of an alert message, sends the alert message to the expert terminal. Health management server to notify.
(Configuration 6)
The health management server according to any one of configurations 2 to 5, wherein the receiving unit receives expert sentence example selection information, health management target behavior selection information, behavior execution information, and biological log information from the terminal. The evaluation unit is configured to perform a combination based on the received sentence example selection information, action selection information, action execution information and biological log information, or a time stamp of these information, and the combined sentence example A health management server that evaluates response information associated with selection information, action selection information, action execution information, and biological log information.
(Configuration 7)
The health management server according to any one of Configurations 2 to 6, wherein the image information is captured by the terminal, and the analysis unit calculates a feature of the captured image information. A health management server that analyzes linguistic information based on the characteristics and the question information.
(Configuration 8)
The health management server according to any one of Configurations 2 to 7, wherein the health management server includes a calculation unit that calculates a use frequency of answer information for each health management target, and the storage unit includes the health management server A health management server that stores past usage history and usage frequency of the answer information of the subject as usage history information, and the correction unit corrects a sentence based on the usage history information.
(Configuration 9)
The health management server according to any one of Configurations 2 to 8, wherein the reception unit receives image information or message information transmitted from a plurality of terminals grouped in advance, and the evaluation unit Specifies a terminal in a group that is transmitted within a predetermined period of time from the same, similar, or opposite to the sentence example transmitted to the terminal, and the health management target person who owns the specified terminal is used as a comparison target person. The health management server that determines and corrects the sentence example and the evaluation based on the comparison target person information.
(Configuration 10)
A health management server connected to a user terminal having a message application via a network, the storage unit storing question information and answer information of a health management target person having the terminal, and transmitted via the message application Corresponding to the acquired question information, a receiving unit that receives the received image information or message information, an analysis unit that analyzes language information based on the received message information, and acquires the question information from the analyzed language information A health management server comprising: a generation unit that extracts the answer information to be generated and generates a sentence example based on the extracted answer information; and a transmission unit that transmits the sentence example to the message application.
(Configuration 11)
A health management server connected to a user terminal having a message application via a network, the storage unit storing health manager information, question information, and answer information of a health management target person having the terminal, and the message application A receiving unit that receives image information or message information transmitted via the URL, an analysis unit that analyzes language information based on the received message information, and acquires the question information from the analyzed language information, and the acquisition The answer information corresponding to the question information obtained, and generating a sentence example based on the extracted answer information; a correction part correcting the sentence example based on the health management subject information; and the correction A health management server comprising: a transmission unit that transmits the sent sentence example to the message application.
(Configuration 12)
The message application according to any one of Configurations 1 to 11.
(Configuration 13)
A user terminal comprising the message application according to Configuration 12.
(Configuration 14)
A method for controlling a health management server connected to a terminal having a message application via a network, the storage step storing the health management target person information and question information and answer information of the health management target person having the terminal; A receiving step for receiving image information or message information transmitted from the terminal via the message application; language information is analyzed based on the received message information; and the question information is acquired from the analyzed language information. An analysis step, a generation step of extracting the answer information corresponding to the acquired question information, generating a sentence example based on the extracted answer information, and determining the probability of the answer information. The evaluation step of evaluating with the certainty level shown, the sentence example and the evaluation are The method of health care server, including a transmission step of transmitting against over-di applications.
(Configuration 15)
A health management program connected to a terminal having a message application via a network, a storage function for storing, in a computer, health management subject information and question information and answer information of the health management subject having the terminal; A reception function for receiving image information or message information transmitted from the terminal via the message application, and language information is analyzed based on the received message information, and the question information is acquired from the analyzed language information. An analysis function; a generation function that extracts the answer information corresponding to the acquired question information; generates a sentence example based on the extracted answer information; and The evaluation function for evaluating with the certainty level shown, the sentence example, and the evaluation Health management program for realizing the transmission function to be transmitted to the application.

DESCRIPTION OF SYMBOLS 100 Health management server 110 Reception part 120 Analysis part 130 Generation part 140 Evaluation part 150 Correction part 160 Storage part 170 Transmission part 200 User terminal (Health management object person)
300 User terminal (expert)
310 Display 400 Network

Claims (6)

A health management server connected to a user terminal having a message application via a network,
A storage unit for storing past question information transmitted from the health management target person having the terminal via the message application, at least behavioral information or biological log information of the health management target person, and answer information;
A receiving unit for receiving message information transmitted via the message application;
Analyzing the linguistic information based on the received message information, and obtaining the question information from the analyzed linguistic information;
Extracting the answer information corresponding to the acquired question information, and generating a sentence example based on the extracted answer information;
The extracted answer information is at least certainty indicating the likelihood of the answer information using at least one of the past question information, the behavior information, and the biological log information transmitted from the health care subject. A health management server comprising: an evaluation unit that evaluates; and a transmission unit that transmits the sentence example and the evaluation to the message application. The health management server according to claim 1,
The storage unit further stores health manager information of the health manager,
The health management server further includes a correction unit that corrects the sentence example and the evaluation based on the health management target person information,
The transmission unit transmits the corrected sentence example and the evaluation to the terminal.
Health management server. 3. The health management server according to claim 2, wherein the receiving unit receives expert sentence example selection information, health management target person action selection information, action execution information, and biological log information from the terminal. And
The evaluation unit performs a combination based on the received sentence example selection information, action selection information, action execution information and biological log information, or a time stamp of these information, and the example sentence selection information, action selection information, Evaluate response information associated with action execution information and biolog information,
Health management server. The health management server according to claim 2 or claim 3,
The image information is taken by the terminal,
The analysis unit calculates a feature of the captured image information, and analyzes language information based on the feature and the question information. The health management server according to any one of claims 2 to 4,
The health management server includes a calculation unit that calculates the use frequency of answer information for each health management target person,
The storage unit stores past use history and use frequency of the answer information of the health care target person as use history information,
The correction unit is a health management server that corrects a sentence based on the use history information. The health management server according to any one of claims 2 to 5,
The receiving unit receives image information or message information transmitted from a plurality of terminals grouped in advance,
The evaluation unit identifies a sentence example that is the same as, similar to, or opposite to a sentence example transmitted to a terminal, and identifies a terminal in a group that is transmitted within a predetermined time, and compares health management subjects who have the identified terminal Judge as a target person,
The correction unit is a health management server that corrects the sentence example and the evaluation based on the comparison target person information.

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