JP6486543B2 - Health management server, health management server control method, and health management program - Google Patents

Description

  The present invention relates to a health management server, a health management server control method, and a health management program, and more particularly to a health management server, a health management server control method, and a health management program that analyze language information.

  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 an object of the present invention is to provide a server that can provide assistance that provides advice most suitable for the health condition and the like of a target client.

According to the present invention,
A health management server connected to a terminal via a network,
A storage unit for storing health management target person information, nutrition information and advice information of a health management target person having the terminal;
A receiving unit for receiving image information or meal information transmitted from the terminal;
Analyzing the received meal information and obtaining the nutrition information;
Extracting the advice information corresponding to the acquired nutrition information, and generating a sentence example based on the extracted advice information;
An evaluation unit that evaluates the extracted advice information with a certainty factor indicating the certainty of the advice information;
A correction unit for correcting the sentence example or the evaluation based on the health management subject information;
A health management server including a transmitting unit that transmits the corrected sentence example and the evaluation to the terminal is obtained.

Further, in the present invention, the receiving unit receives at least one meal menu selected from the meal menu list by the user of the terminal as the meal information,
The analysis unit acquires the nutrition information associated with the received meal menu.
It may be a health management server.

In the present invention, the receiving unit receives expert sentence example selection information, health management subject action selection information, action execution information, and biological log information from the terminal.
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, It may be a health management server characterized by evaluating advice information associated with action execution information and biological log information.

Further, according to the present invention, the health management server includes a calculation unit that calculates the use frequency of the advice information for each health management target person,
The storage unit stores past use history and use frequency of the advice information of the health care target person as use history information,
The correction unit may correct a sentence example based on the use history information.

Furthermore, in the present invention, 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 may be a health management server that corrects the sentence example and the evaluation based on the comparison target person information.

Moreover, according to the present invention,
A method for controlling a health management server connected to a terminal via a network,
A storage step of storing health management subject information and nutrition information and advice information of the health management subject having the terminal;
A receiving step of receiving image information or meal information transmitted from the terminal;
Analyzing the received meal information and obtaining the nutrition information;
Generating the advice information corresponding to the acquired nutrition information, and generating a sentence example based on the extracted advice information;
An evaluation step of evaluating the extracted advice information with a certainty factor indicating the certainty of the advice information;
A correction step of correcting the sentence example and the evaluation based on the health management subject information;
A health management server control method including a transmission step of transmitting the corrected sentence example and the evaluation to the terminal is obtained.

Further, according to the present invention, a health management program connected to a terminal via a network,
On the computer,
A storage function for storing health management subject information and nutrition information and advice information of a health management subject having the terminal;
A receiving function for receiving image information or meal information transmitted from the terminal;
Analyzing the received meal information and obtaining the nutrition information;
A function of extracting the advice information corresponding to the acquired nutrition information, and generating a sentence example based on the extracted advice information;
An evaluation function for evaluating the extracted advice information with a certainty factor indicating the certainty of the advice information;
A correction function for correcting the sentence example and the evaluation based on the health management subject information;
A health management program for realizing a transmission function for transmitting the corrected sentence example and evaluation to the terminal is obtained.

  The health management server, the health management server control method, and the health management program according to the present invention are transmitted from the client (health care target person) or the expert based on the accumulated best practice in the creation of the expert advice message. A sentence example serving as advice for meal information can be generated, and the generated sentence example can be customized with client characteristics (biological information, meal, health condition at that time, etc.) and transmitted to an 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.

System diagram showing system configuration of health management system Block diagram showing functional configuration of health management server and terminal Schematic diagram for explaining the interaction between a health manager and a health management server or expert Schematic diagram for explaining feedback to the health management server Schematic diagram showing a combination example of action selection information, action execution information, and biolog information Data conceptual diagram showing an example of the data structure of health management subject information and learning information Schematic diagram showing examples of relationships between meal information, language information, nutrition information, advice information, and sentence examples Schematic diagram showing a correction example of advice information evaluation Flow chart showing server operation Schematic diagram showing an example of genetic testing algorithm Schematic diagram showing an example of blood test algorithm Schematic diagram showing an example of content distribution algorithm Overview of the present invention Conceptual diagram of the meal menu list used in the modification

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
<Overview>
FIG. 1 is a system diagram showing a system configuration of a health management system.

  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. Then, a question message (hereinafter simply referred to as “question message”) for inquiring about the content of the meal taken by the health care target person and advice on nutrition is transmitted to the health management server 100.

  When the server 100 receives the question message, the server 100 analyzes the question message, generates a sentence example from the advice information corresponding to the question message, and evaluates the advice 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.

  Accordingly, the server 100 transmits an advice message or an 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. 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. 2 is a block diagram illustrating functional configurations of the server 100, the user terminal 200, and the user terminal 300.
As illustrated in FIG. 2, 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 a question message including image information and meal 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 acquires meal information included in the question message sent from the user terminal 200 or the user terminal 300. The method for acquiring meal information may be performed depending on whether or not a word such as a dish name (for example, ramen, curry and rice) or a similar keyword is included in the question message. Applicable. The analysis unit has a function of analyzing nutrition information corresponding to the meal information by searching for nutrition information stored in advance in the storage unit 160 based on the acquired meal information.

  The analysis unit 120 also has a function of calculating not only the question message received by the reception unit 110 but also the characteristics of the received image information and acquiring meal information from the calculated characteristics.

  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 advice information that is a sentence example candidate using the nutrition information analyzed by the analysis unit 120. Here, the advice information means associating with nutrition information, answer contents, and past evaluation of the advice information as best practices corresponding to the nutrition 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 advice information, and the hypothesis is verified from the nutrition information and the advice information by finding the grounds for supporting the hypothesis or the refusal to deny it. In the inference, for example, deductive reasoning, inductive reasoning, and stochastic reasoning may be used. Extraction of advice information as candidates for sentence examples, generation and verification of hypotheses are performed simultaneously in parallel processing. Integrate verification results processed in parallel and generate example sentences

  The evaluation unit 140 evaluates the certainty of the advice 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 advice 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 nutrition information is input, the corresponding advice information is selected. The rate at which events that occur or are acted on occur.

  Further, as shown in FIG. 3, the evaluation unit 140 determines whether the certainty level is higher or lower than a predetermined level, and if it is determined that the certainty level is lower than the predetermined level, the evaluation unit 140 avoids from the advice information stored in the storage unit 160. Advice information is extracted, and the extracted advice information is overwritten and corrected, or an alert message including the received meal information, sentence examples, and evaluation is transmitted to the user terminal 200 of the expert.

  Here, the advice information for avoidance is an answer indicating that the meal information included in the message cannot be understood or an appropriate response is not found, regardless of the content of the question message sent. Refers to advice information including content. For example, “I ’m sorry. Sorry for the inconvenience, but I ’m sorry to trouble you, but I ’d like to contact you again by phone.” Or “I ’m sorry. In order to understand the contents correctly, please contact us again after showing the official name of the meal menu. "

  Further, as shown in FIG. 4, 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 meal information and image information received from the user terminal 200. The advice information is evaluated based on the person's action selection information, action execution information, and biological log information. Specifically, as shown in FIG. 5, 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 advice 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 the advice, or the living body is a curriculum The advice information that has changed toward the set target in the information has a higher evaluation as being more suitable, and the less reliable, the advice information that is not being executed according to the advice or the living body does not change is evaluated as having a lower appropriateness Can be fed back based on the objective facts.

  For example, as shown in FIG. 5, as shown in FIG. 5, 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 subject of health rights, 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.

  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, nutrition information, and advice information. The storage unit 150 is typically realized by various recording media such as a hard disk drive (HDD), a solid state drive (SSD), and a flash memory. Each piece of information need not be stored in a single storage device, and may be distributed via a network.

  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.

Further, as shown in FIG. 2, the user terminal 300 is configured to include 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 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. 6 is a data conceptual diagram illustrating an example of a data configuration of the health management target person information and the learning information stored in the storage unit 160.

  As shown in FIG. 6, 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.

  As shown in FIG. 7, meal information (b) is extracted from the question message (a) received from the user terminal 200. Based on the extracted meal information, nutrition information (d) associated with each meal information is read from a database prepared in advance.

  The advice information (e) is composed of association with nutrition information, advice contents (keywords and indicators), and past evaluations. The association with the nutrition information is not limited as long as the nutrition information and the advice information can be linked, and may be a number assigned to the nutrition information in a sequence. The content of the advice is composed of keywords and indicators, and the keywords may include, for example, the contents of recipes, fitness, tasks, and restaurants that serve as answers to questions or provide answers to questions as output information for questions. it can. The index indicates a characteristic associated with the keyword, and can include, for example, a numerical value indicating the characteristic of the immediately preceding meal content as a basis for recommending the keyword. The past evaluation is a set of evaluations that each piece of advice information has received so far. Specifically, the evaluation unit 140 can include statistics of certainty degrees calculated so far. Further, the evaluation unit 140 calculates a certainty factor based on the past evaluation. A sentence example (f) considering the standard priority presented to the user is created once based on such advice information and, as necessary, basic attribute information (c) of the health care target person.

  The storage unit 160 stores a correspondence between a meal menu (not shown) and nutrition information. As an example of information, for example, in addition to information based on the Japanese food standard composition table etc., information provided by a food manufacturer or automatically extracted from a company WEB site may be used.

<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. 9 is a flowchart showing the operation of the health management server 100.
The receiving unit 110 receives the image information or the question message sent from the user terminal 200 of the health care target person (Step S11). The receiving unit 110 transmits the received image information or meal information to the analyzing unit 120.

  The analysis unit 120 analyzes meal information from the feature amount or message of the received image information and acquires nutrition information (step S12). For example, as shown in FIG. 7 (a), when a message from a health care subject such as “I ate carbonara and consomme soup for lunch today” is received, the natural language is processed, As the meal information, as shown in FIG. 7B, the meal information is obtained by breaking it down into morphemes (cook names) such as “Carbonara / consomme soup”. The corresponding nutrition information is searched from the nutrition information stored in advance in the storage unit 160 for each meal information, and the nutrition information is acquired for each meal information as shown in FIG. The acquired nutrition information (and the total sum of each nutrition information) is transmitted to the generation unit 130.

  As an example, the generation unit 130 verifies an advice keyword associated with the nutrition information as illustrated in FIG. 7E from the acquired nutrition information (S13). Further, the generation unit 130 generates a sentence example as an example from the verified advice keyword as shown in FIG. 7F (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. 7F, a radio button for allowing the user to select a recommended task advised in the sentence example may be provided, and action selection information may be acquired by designating the radio button.

  The evaluation unit 140 evaluates the certainty factor of the advice keyword extracted by the generation unit 130 based on the grounds verified by the generation unit 130 and the past evaluation of the advice keyword (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, when the health care target person in FIG. 7 ingests “Carbonara” and “Consomme soup” for lunch, as advice information on the next meal based on the nutrition information associated with the meal information, If the three advice keywords “moderate salt”, “moderate calorie”, and “take a vegetable rich in vitamins” are rated highly in this order, the recommended ranking is also set once in that order. (Hereinafter, the evaluation once set is referred to as “provisional evaluation”). Here, for example, when the health care target person has an attribute of “dislikes vegetables” by a preliminary questionnaire or the like, there is a possibility that the recommended content is not necessarily the content that should be recommended to the health care target person. That is, the health care target person does not happen to have a small amount of vegetables in this meal (carbonara and consomme soup), but tends to fall into a chronic vegetable shortage because the amount of vegetables is originally low. .

  Therefore, if it is in this trend, a process of adding the correction value to the certainty factor, calculating the total of the index as a correction value after adding a positive weight to the “take a vegetable rich in vitamins” index, etc. Can correct the certainty (not shown). 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. Based on the revised evaluation, the recommended ranking was replaced with “take a vegetable rich in vitamins”, “moderate salt”, and “moderate calorie” as shown in FIG. You can advise the recommended menu. In this correction, the correction may be made not only from the tendency of the health management subject to the task but also from the history and frequency of past advice information. 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. 10, the health management server 100 performs a cross-analysis based on the lifestyle questionnaire results of the health care subjects and the genetic test results of the health care subjects, 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.

Moreover, as shown in FIG. 11, the health management server 100 performs cross analysis based on the lifestyle questionnaire results of the health management subject and the blood test results of the health management subject, and improves the habits 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.

  In addition, as shown in FIG. 12, the health management server 100 is based on the past behavior history (hereinafter referred to as “log”), lifestyle questionnaire results, genetic test results, and blood test results of the health management subject. 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.

<Modification>
In the above-described embodiment, as shown in FIG. 13, a message in a text format is received from a health care target person, and the natural language included in the message is processed to obtain meal contents (carbonara, consommé soup). I was going to do that. However, in order to reduce the input load on the user, the health management target person may display a meal menu list and select a menu from the list. For example, in the case of the health care target person in FIG. 13, as shown in FIG. 14, “pasta” and “soup” are selected as large items from the meal menu list, and “carbonara” is selected in each small item. And “consomme soup” may be selected. Thereby, since the burden concerning an input reduces, the improvement of the report rate of a meal content can be anticipated. Also, the health management server can acquire meal contents (see FIG. 7B, etc.) without performing natural language processing, and can prevent analysis errors that may occur during natural language processing. In addition, it is preferable that many meal menus are displayed for the large items and the small items in FIG. 14, even if the same meal menu (for example, carbonara), It is desirable to display variations such as retort foods, instant foods, and various quantities.

<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 or spiritual approach (for example, businesses that provide advice to increase human motivation), welfare (for example, when a specialist remotely advises the welfare of a local community, etc.) ), Can be used in business such as education.

<Appendix>
The present invention includes inventions having the following configurations.
(Configuration 1)
A health management server connected to a terminal via a network,
A storage unit for storing health management target person information, question information, and answer information of a health management target person having the terminal;
A receiving unit for receiving image information or message information transmitted from the terminal;
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;
An evaluation unit that evaluates the extracted answer information with a certainty factor indicating the certainty of the answer information;
A correction unit for correcting the sentence example and the evaluation based on the health management target person information;
A health management server comprising: a transmission unit that transmits the corrected sentence example and the evaluation to the terminal.
(Configuration 2)
The health management server is connected to the terminal via a network,
2. The health management server according to Configuration 1, wherein the corrected sentence example and the evaluation are displayed and output on a display unit of the terminal.
(Configuration 3)
The transmitter is
3. The health management server according to Configuration 2, wherein advice information including sentence examples and evaluations selected or edited and selected by the expert on the display unit is transmitted to the terminal.
(Configuration 4)
The pre-evaluation unit determines whether the evaluation confidence level is high or low, and corrects the sentence based on the determination result, or generates an alert message and notifies the expert. One to choose,
The correction unit corrects the example sentence based on the determination result and answer information for avoidance when the evaluation unit selects to correct the example sentence,
The health management according to Configuration 1, wherein the transmission unit notifies the expert terminal of the alert message when the evaluation unit selects to notify the expert of the alert message. server.
(Configuration 5)
The receiving unit receives expert sentence example selection information, action selection information of a health care target person, action execution information, and biological log information from the terminal,
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, 5. The health management server according to any one of configurations 1 to 4, wherein the response information associated with the action execution information and the biological log information is evaluated.
(Configuration 6)
The image information is taken by the terminal,
The health management according to any one of configurations 1 to 5, wherein the analysis unit calculates a feature of the captured image information, and analyzes language information based on the feature and the question information. server.
(Configuration 7)
The health management server includes a calculation unit that calculates the use frequency of response 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 health management server according to any one of configurations 1 to 6, wherein the correction unit corrects a sentence example based on the use history information.
(Configuration 8)
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 health management server according to any one of configurations 1 to 6, wherein the correction unit corrects the sentence example and the evaluation based on the comparison target person information.
(Configuration 9)
A method for controlling a health management server connected to a terminal via a network,
A storage step of storing health management subject information and question information and answer information of a health management subject having the terminal;
A receiving step of receiving image information or message information transmitted from the terminal;
Analyzing language information based on the received message information, and obtaining the question information from the analyzed language information;
Extracting the answer information corresponding to the acquired question information, and generating a sentence example based on the extracted answer information;
An evaluation step of evaluating the extracted answer information with a certainty factor indicating the certainty of the answer information;
A correction step of correcting the sentence example and the evaluation based on the health management subject information;
A health management server control method including a transmission step of transmitting the corrected sentence example and the evaluation to the terminal.
(Configuration 10)
A health care program connected to a terminal via a network,
On the computer,
A storage function for storing health management subject information and question information and answer information of a health management subject having the terminal;
A receiving function for receiving image information or message information transmitted from the terminal;
Analyzing language information based on the received message information, and obtaining the question information from the analyzed language information;
A function of extracting the answer information corresponding to the acquired question information and generating a sentence example based on the extracted answer information;
An evaluation function for evaluating the extracted answer information with a certainty factor indicating the certainty of the answer information;
A correction function for correcting the sentence example and the evaluation based on the health management subject information;
A health management program for realizing a transmission function for transmitting the corrected sentence example and evaluation to the terminal.

100 health management server 110 reception unit 120 analysis unit 130 generation unit 140 evaluation unit 150 correction unit 160 storage unit 170 transmission unit 200 user terminal (person subject to health management)
300 User terminal (expert)
310 Display 400 Network

Claims (2)

A health management server connected via a network with a terminal linked to a wearable device,
A health management target person information including biological log information measured by the wearable device, a storage unit for storing nutrition information and advice information,
A receiving unit that receives meal information transmitted from the terminal and predetermined information related to the health care target person from the terminal ;
Analyzing the received meal information and obtaining the nutrition information;
Extracting the advice information corresponding to the acquired nutrition information, and generating a sentence example based on the extracted advice information;
An evaluation unit that evaluates the extracted advice information with a certainty factor indicating the certainty of the advice information based on the predetermined information ;
A correction unit that corrects the sentence example based on at least the biological log information;
A health management server comprising: a transmission unit that transmits the corrected sentence example and the evaluation to the terminal. The receiving unit, health managed 'behavior selection information, there is for receiving action execution information and biometric log information, the evaluation unit, the received Tagyo dynamic selection information, action execution information and biological Russia grayed information, or performs a combination based on the timestamp of the information, claims, characterized in that to evaluate with respect to the combination Tagyo dynamic selection information, action execution information and biometric log information and string brute advice information 1. The health management server according to 1.

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