JP5244486B2 - Life pattern adaptive health guidance support system - Google Patents

Description

  The present invention relates to a system for supporting health guidance, and more particularly to a system for improving metabolic syndrome and the like caused by lifestyle habits.

In recent years, visceral fat obesity (metabolic syndrome) has attracted attention as one of lifestyle-related diseases. In health check-up facilities, when the examinee is diagnosed with metabolic syndrome or obesity, a doctor or public health nurse instructs weight reduction. In particular, for the examiner (doctor or public health nurse) who has judged that strong intervention guidance is necessary, set a target weight that matches the weight of the examinee and improve the lifestyle that should be improved toward the target weight The weight loss program proposed as an item may be implemented.
In this case, the instructor calculates the number of calories to reach the target weight of the examinee (participant in weight loss), and proposes and presents life improvement items related to diet and exercise necessary to reduce the target weight. Will do. Then, the weight loss participant reports to the instructor the execution status of the presented life improvement items and changes in weight, and then loses weight toward the target weight.

  Such weight-reduction techniques include the target weight, dietary status, and exercise status of participants who are losing weight, and target values for energy intake and energy consumption, as well as dietary restrictions and exercise to meet the target values. A technique for presenting a menu such as a method is known (for example, Patent Document 1).

JP 2004-227522 A

  In the case of the above-mentioned patent document 1, the predicted weight can be set as the target weight based on changes in eating habits and exercise habits. Therefore, it was necessary to grasp the calorie consumption of each life improvement item, and to determine which life improvement item to perform according to the individual, and to adjust the load of that item, and there was a problem that the work load of the public health nurse was heavy.

  Therefore, in order to reduce the work burden of the public health nurse, a large number of life improvement items that can consume a predetermined calorie (for example, 100 kcal) are collected in advance, and these life improvement items are presented to the weight loss participant. It is also conceivable to select an improvement item as much as necessary to reach the target weight, and to implement the improvement item and record the change in weight.

  However, in the method of selecting an improvement item so that the weight loss participant suits the individual from the above-mentioned many life improvement items, it is not easy to select the item to suit the individual participant because there are various types of life improvement items. It was. In particular, there are people who have difficulty in improving their lifestyle, such as people who have a lot of drinking parties and people who have a lot of business trips, and it is necessary to show goals that are easy to implement for such people. Such cases were not considered.

  So, for those who have difficulty in improving their lifestyle, such as those who have a lot of drinking parties and those who have many business trips, what lifestyle improvement items have been implemented by people with similar lifestyle habits in the past and have succeeded in weight loss? Based on this information, it may be possible to present goals that match lifestyle.

  In order to realize the above, first, past participants who have succeeded in weight loss based on life record information and interview information related to life can be used to change past patterns (for example, many drinking parties, many business trips, midnight To the new participants by obtaining information on what life improvement items are often implemented by people who belong to each lifestyle pattern (the frequency of implementation is high). A method of providing the information can be considered.

  However, when information on life improvement items that are frequently implemented by weight loss participants is obtained for each life pattern, the same information appears for life improvement items that are frequently implemented in every life pattern. Characteristic life improvement items cannot be obtained. This is because life improvement items that can be easily implemented by any person appear at the top.

  In addition to life improvement items that can be easily implemented by any person, when it is desired to present life improvement items specialized in lifestyle, it cannot be presented by conventional methods.

  An object of the present invention is to provide a life improvement item that is particularly easy for a person who belongs to a certain life pattern to easily carry out weight loss and is easy to succeed in weight loss.

  The present invention provides means for presenting life improvement items that match a lifestyle to new participants based on information on lifestyles of people who have participated in weight loss programs in the past and information on selected life improvement items. In addition, at that time, life improvement items that are more implemented by those who succeeded in weight loss will be provided.

  The present invention includes a processor that performs arithmetic processing, a memory connected to the processor, and an interface connected to the processor, and the processor includes the following three pieces of information.

  Categorize past participants by lifestyle pattern (for example, patterns such as frequent drinking parties, frequent business trips, and many late-night meals) based on the weight loss records of past weight loss participants and interview information regarding lifestyle. Participant classification information, information about the relationship between life patterns and life improvement items, and the importance of life improvement items, such as what kind of life improvement items are often implemented by people belonging to each life pattern, and new participation Information about life interviews to know what kind of life pattern a person has and information on the relationship between which life pattern is related to the interview and whether or not past weight loss participants have succeeded in weight loss .

  The processor includes the following two methods.

  New weight-loss participants are interviewed about their lives, and the information on the relationship between life-related interviews and which life patterns are related is used to determine the life patterns of new weight-loss participants, and their life patterns and life improvements. This includes a method of presenting life improvement items in order of importance using information representing the relationship between the items and the importance of life improvement items.

  In addition, the importance of life improvement items in life patterns is high for life improvement items that are often implemented by people with the same life pattern, and life improvement items that appear only in specific life patterns are high in importance. In addition, it includes a method of calculating so that life improvement items with more successful weight loss are more important.

  Life interviews are conducted with new participants, and the life improvement items that match the lifestyle patterns of the participants are presented in order of importance. The life improvement item suitable for can be selected.

  As for the method of calculating the importance of life improvement items in life patterns, life improvement items that are often selected by people with the same life pattern are highly important, and life improvement items that appear only in specific life patterns are highly important. Therefore, it is possible to present life improvement items peculiar to the lifestyle.

  Moreover, since the life improvement item which the weight loss successful person is implementing more is shown, the life improvement item which is easy to succeed in weight reduction can be shown to a new participant.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing an example of the configuration of a health guidance support system according to an embodiment of the present invention.

  The health guidance support system according to the embodiment of the present invention includes an administrator terminal device 100, a leader terminal device 200, a participant terminal device 300, and a server 400. Here, the leader terminal may be the same as the administrator terminal. The administrator terminal device 100, the leader terminal device 200, the participant terminal device 300, and the server 400 are connected via a network 500.

  The administrator terminal device 100, the leader terminal device 200, and the participant terminal device 300 are computers each including a processor, a memory, a communication interface, and a user interface. In addition, these terminal devices may be portable terminal devices such as a PDA or a mobile phone on which an application program (for example, a web browser) operates.

  The server 400 is a computer including a processor, a memory, a storage device, and a communication interface. The server 400 includes participation preparation processing means M2, participant data input / browsing processing means M3, and life pattern-specific improvement item generation means M6. Each of these functions is provided by a program stored in the memory.

  The storage device of the server 400 includes an instructor management database D1, a participant management database D4, a weight loss recording database D5, an inquiry result database D7, an individual program database D8, a meal calorie database D9, an exercise calorie database D10, and a medical examination inquiry database. D11, individual weight loss target database D12 and inquiry information database D13, life pattern improvement item database D14, life pattern participant classification database D15, life pattern-inquiry database D16, and life record database D17 are stored.

First, an example of a database used in this embodiment will be described.
FIG. 2 is an explanatory diagram showing an example of the configuration of the participant management database D4 of the present embodiment. The participant management database D4 is a database in which information of persons who participate in health guidance by the health guidance support system of the present embodiment is registered. Information on new weight loss participants and information on participants who have participated in weight loss in the past are registered. Here, the registration of the new information in the database may be registered through an input means such as a participant terminal, a leader terminal, an administrator terminal, or through an external recording medium, or other external organization, for example, You may register via a communication means from databases, such as a medical examination organization and a medical institution.

  The participant management database D4 includes a participant identifier D401, name D402, gender D403, date of birth D404, mail address D405, leader identifier D406, password D407, height D408, and weight D409.

  A unique identifier for identifying the participant is registered in the identifier D401. The participant identifier D401 is used in the health guidance support system of this embodiment to identify the participant data. The participant identifier D401 is used together with the password D405 when the participant accesses the health guidance support system of the present embodiment.

  The name of the participant is registered in the name D402, the gender of the participant in the sex D403, the date of birth of the participant in the date of birth D404, and the email address of the participant in the email address D405.

  In the leader identifier D406, a unique identifier for identifying the leader in charge of the participant is registered. In the password D407, a password that is collated when the participant accesses the health guidance support system of the present embodiment is registered. In the height D408 and the weight D409, the height and weight at the start of the instruction of the participant are registered.

  FIG. 3 is an explanatory diagram showing an example of the configuration of the inquiry information database D13 of the present embodiment. The inquiry information database D13 is a database in which the contents of an inquiry to be inquired by the participants at the start of health guidance by the health guidance support system of the present embodiment are registered. The question items include questions related to lifestyle, and the lifestyle pattern is determined based on the results of these questions.

  The inquiry information database D13 includes an inquiry identifier D1301, an inquiry category D1305, a meal category D1302, an exercise menu category D1303, an inquiry content D1306, and an improvement content D1037.

  The inquiry identifier D1301 is a unique identifier for identifying the contents of the inquiry. The inquiry category D1305 indicates the subject of the inquiry. For example, “1” indicates food intake, “2” indicates exercise amount, “3” indicates eating behavior, and “4” indicates If it is “5”, it indicates a living action. Life behavior interviews are items related to life patterns. In the example of FIG. 3, there are an inquiry asking whether there are many drinking opportunities, and an inquiry asking whether there are many snacking opportunities. Use this item to identify your personal life pattern.

  The meal menu category D1302 and the exercise menu category D1303 are codes for classifying the contents of the inquiry category D1305. For example, “1” for an inquiry about staple food, “2” for an inquiry about fruits, “3” for an inquiry about snacks, and “9” for an inquiry not related to meals. Registered in D1302. For this meal menu category D1302, an identifier common to the meal menu category D902 of the meal calorie database D9 is used.

  In the exercise menu category D1303, “1” is registered for an inquiry related to walking / running, “2” is registered for an inquiry related to sports, and “9” is registered for an inquiry not related to exercise. For this exercise menu category D1303, an identifier common to the exercise category D1002 of the exercise calorie database D10 is used.

  The data indicating the relationship between the inquiry and the life pattern is included in the life pattern-inquiry database D16, and the result of the inquiry is included in the inquiry result database D7.

FIG. 4 is an explanatory diagram showing an example of the configuration of the inquiry result database D7 of the present embodiment.
The inquiry result database D7 is a database in which participants' answers to the inquiry contents are registered. The result of the inquiry about life is also included in the inquiry result database D7.

  The inquiry result database D7 includes a participant identifier D701, an inquiry identifier D702, an inquiry response D703, an improvement implementation questionnaire D704, and an improvement execution target D705.

  In the participant identifier D701, the identifier of the participant who answered the inquiry is registered, and an identifier common to the identifier D401 of the participant management database D4 is used. In the inquiry identifier D702, an identifier of an inquiry answered by the participant is registered, and an identifier common to the inquiry identifier D1301 in the inquiry information database D13 is used.

  In the inquiry D703, the contents of the answer to the inquiry are registered. For example, if the answer content is “Yes”, “1” is registered in the question answer D 703, and if the answer content is “No”, “2” is registered.

  The improvement implementation questionnaire D704 stores the extent to which the contents of the inquiry ID can be used as a life improvement item. For example, if it is “0”, it indicates that the questionnaire has not been implemented. If it is, it indicates that it is not desired to be a life improvement item, “2” indicates that it cannot be implemented as a life improvement item, and “5” indicates that it can be implemented.

  In the improvement implementation target D705, a flag indicating whether or not to make this inquiry content a goal of weight loss is registered. For example, if the response content is “target”, “1” is registered in the improvement implementation target D705, and if the response content is “not target”, “2” is registered.

  FIG. 5 is an explanatory diagram showing an example of the configuration of the individual weight loss target database D12 of the present embodiment. The individual weight loss target database D12 is a database in which weight loss targets set by participants in health guidance by the health guidance support system of the present embodiment are registered. The individual weight loss target database D12 includes a participant identifier D1201, a weight loss registration date D1202, a start date D1203, a target weight D1204, and a weight loss period D1205.

  In the participant identifier D1201, the identifier of the participant who has set the weight reduction target is registered, and the identifier common to the identifier D401 of the participant management database D4 is used. The date of registration of the weight loss target is registered in the weight reduction target registration date D1202.

  In the start date D1203, the start date of the weight loss target is registered. The target weight set by the participant is registered in the target weight D1204. In the weight loss period D1205, a target for a period until reaching the set target weight is registered.

  The target weight D1204 and the weight loss period D1205 are used for calculation of calories to be reduced per day. FIG. 6 is an explanatory diagram showing an example of the configuration of the individual program database D8 of the present embodiment. The individual program database D8 is a database in which life improvement items (weight reduction menus) set by participants in health guidance by the health guidance support system of the present embodiment are registered. The individual program database D8 includes a participant identifier D801, a program registration date D802, a serial number D803, a life improvement item meal menu identifier D804, a life improvement item exercise menu identifier D805, and an improvement item increase / decrease amount D806 and Includes improvement item increase / decrease D807.

  In the participant identifier D801, the identifier of the participant who has set the action target is registered, and the identifier common to the identifier D401 of the participant management database D4 is used. The date of registration of this improvement item is registered in the program registration date D802. The serial number D803 stores a serial number for each participant in the weight reduction menu selected by the participant. The weight reduction menu selected by the participant is managed by the serial number D803. For example, when the same weight reduction menu is selected by the same participant, the number of the same weight reduction menu selected is assigned.

  In the improvement item meal menu identifier D804, an identifier for uniquely identifying the meal weight reduction menu selected by the participant is registered, and an identifier common to the identifier D901 of the meal calorie database D9 is used.

  In the improvement item exercise menu identifier D805, an identifier for uniquely identifying the exercise weight loss menu selected by the participant is registered, and an identifier common to the identifier D1001 of the exercise calorie database D10 is used.

  The weight reduction menu is a menu for reducing the amount of meal in the meal menu and increasing the amount of exercise in the exercise menu, but the increase / decrease for each menu can be changed. For example, depending on the combination of weight reduction menus selected, the number of meal menus with high calories (small amount corresponding to 100 kcal) is reduced by X, and the number of low-calorie (large amounts of food corresponding to 100 kcal) is increased by Y. . At this time, by setting X> Y, it is possible to create a weight loss program that reduces calories in total. In order to express such combinations in the weight reduction menu, the number of improvement items to be increased / decreased D806 is registered in the improvement item increase / decrease amount D806. For example, if the improvement item is decreased, the decreased number of sheets is registered in the increase / decrease amount D806, and if the improvement item is increased, the value of the increased number of sheets is registered in the increase / decrease amount D806.

  In the improvement item increase / decrease D807, the increase / decrease in improvement items is registered. For example, if the improvement item is decreasing, “1” is registered in the increase / decrease D807, and if the improvement item is increasing, “2” is registered in the increase / decrease D805.

  FIG. 7 is an explanatory diagram showing an example of the configuration of the meal calorie database D9 of the present embodiment. The meal calorie database D9 is a database in which a meal menu presented as a weight reduction menu to the participant is registered. As described above, in the meal menu stored in the meal calorie database D9, a meal type and a meal amount (amount to reduce meals) are set for each predetermined calorie (for example, 100 kcal).

  The meal calorie database D9 stores a meal menu identifier D901, a meal menu category D902, a meal priority D904, a meal menu name D903, a meal menu unit D905, and a meal menu unit calorie D906.

  In the meal menu identifier D901, an identifier for uniquely identifying a meal whose amount is to be reduced is registered. In the meal menu category D902, the type of meal whose amount is to be reduced is registered. For example, “1” if the meal type is a staple food, “2” if the meal type is fruit, “3” if the meal type is snack, and “9” if the meal type is not related to a meal. "Is registered in the category D902. In the meal menu name D903, the meal and amount to be reduced in this meal menu are registered. In the meal menu unit D904, a unit to be taken is stored for the contents of the meal menu name D903. For example, the weight “g” and the number of meals to be ingested are stored. The meal menu unit calorie D905 stores the amount of heat of the meal set in the meal menu name D903. In this embodiment, 100 kcal is set in the meal menu unit calorie D905.

  FIG. 8 is an explanatory diagram showing an example of the configuration of the exercise calorie database D10 of the present embodiment. The exercise calorie database D10 is a database in which exercise menus presented as a weight reduction menu to participants are registered. As described above, in the exercise menu stored in the exercise calorie database D10, an exercise amount is set for each predetermined calorie (for example, 100 kcal).

  The exercise calorie database D10 includes an exercise menu identifier D1001, an exercise menu category D1002, an exercise menu name D1003, and an exercise menu unit D1004. In the exercise menu identifier D1001, an identifier for uniquely identifying the exercise to be performed by the participant is registered. In the exercise menu category D1002, the type of exercise to be performed by the participant is registered. For example, “1” is registered in the category D1002 if the exercise is walking or running, “2” if the exercise is sport, and “9” if it is not related to the exercise. In the exercise menu name D1003, the type of exercise to be performed in this exercise menu is registered.

  FIG. 9 is an explanatory diagram showing an example of the configuration of the weight loss recording database D5 of the present embodiment. The weight loss recording database D5 is a database in which the implementation status of the weight loss menu selected by the participant is registered. The weight loss recording database D5 includes participant identifier D501, date D502, weight D503, serial number 1 implementation status D504, serial number 2 implementation status D505, serial number 3 implementation status D506, and serial number 4 implementation status D507. included.

  In the participant identifier D501, the identifier of the participant who should perform this weight reduction menu is registered, and the identifier common to the identifier D401 of the participant management database D4 is used. On the date D502, the date on which this weight reduction menu was implemented or not implemented is registered. In the body weight D803, the body weight of the participant on the day indicated by the date D502 is registered.

  The implementation status of the weight reduction menu indicated by each serial number is registered in the implementation status D504 of the serial number 1, the implementation status D505 of the serial number 2, the implementation status D506 of the serial number 3, and the implementation status D507 of the serial number 4. The serial number used in the weight loss recording database D5 is the same as the serial number registered in the serial number D803 of the individual-specific program database D8.

  In the implementation status of the weight reduction menu, the implementation status of the weight reduction menu indicated by this serial number is registered. For example, “1” is registered in the implementation status of each weight reduction menu if the weight reduction menu indicated by this serial number is implemented, and “2” if the weight reduction menu is not implemented.

  FIG. 25 is an explanatory diagram showing an example of the configuration of the life record database D17 of the present embodiment. The information in the life record database D17 is a database that stores a record of life during the weight loss period of the participant. The life record database D17 includes a participant identifier D1701, a registration date D1702, and a life record D1703. As the participant identifier D1701, an identifier common to the identifier D401 of the participant management database D4 is used. In the registration date D1702, the date on which the life record is registered is registered. The life record D1703 includes information related to life events. For example, when registering a drinking party event, “1” is registered when an event that a snack has been made, “2” is registered, and when registering an event that a business trip has occurred, “3” is registered. "". This information is used to classify the participant's life pattern.

  FIG. 10 is an explanatory diagram showing an example of the configuration of the medical examination inquiry database D11 of the present embodiment. Information in the medical examination database D11 is used to classify the lifestyle patterns of participants. The medical examination interview database D11 is a database that stores information on the results of medical examination performed during the medical examination. The medical examination interview database D11 includes participant identifiers D1101, interview registration date D1102, job title D1103, job category D1104, business trip D1105, overtime work D1106, marital status D1107, night meal D1108, commuting means D1109, snack meal D1110, and drinking D1111.

  As the participant identifier D1101, an identifier common to the identifier D401 of the participant management database D4 is used. In the inquiry registration date D1102, the date on which the result of the medical examination inquiry is registered is registered. Information related to the positions of the participants is registered in the position D1103. For example, “1” is registered for the general manager, and “2” is registered for the general manager. In the job type D1104, information on the job type of the participant is registered. For example, “1” is registered for research and “2” is registered for development. The business trip status of the participant is registered in the business trip D1105. For example, “1” is registered if there is almost no business trip, and “2” is registered if it is less than 4 days a month. The overtime status of the participant is registered in the overtime D1106. For example, “1” is registered if the overtime is less than 10 hours, and “2” is registered if the overtime is 10 hours or more and less than 40 hours. In the marriage status D1107, the marriage status of the participant is registered. For example, “1” is registered if married, and “2” if unmarried. In the evening meal D1108, the status of the participants' evening meal is registered. For example, “1” is registered if a midnight snack is not taken, and “2” is registered if a midnight snack is taken. In the commuting means D1109, the status regarding the commuting means of the participant is registered. For example, “1” is registered for walking commuting, and “2” is registered for bicycle commuting. In the snack D1110, information on the snacks of the participants is registered. For example, “1” is registered when frequently taking snacks, and “2” is registered when occasionally taking snacks. In the drinking D 1111, information related to the drinking of the participant is registered. For example, “1” is registered when drinking daily, and “2” is registered when drinking 2-3 days a week.

  FIG. 11 is an explanatory diagram showing an example of the configuration of the life pattern-specific participant classification database D14 of the present embodiment. The participant classification database D14 by life pattern is a database in which past participants are classified by life pattern and classification information is stored.

  Participant identifier D1401, life pattern identifier D1402, weight loss status D1403 are registered in the life pattern-specific participant classification database D14.

The participant identifier D1401 stores the identifiers of past participants. The life pattern identifier stores classification information related to the life pattern. An identifier common to the life pattern identifier D1402 of the life pattern-inquiry database D16 is used. In the weight loss status D1403, information on whether past participants succeeded in weight loss or failed is registered. For example, “1” is registered when the weight loss is successful, and “0” is registered when it is unsuccessful.
Here, the failure / success of weight loss assumes that the target weight is reached within a predetermined period and succeeds and the other is a failure, but the weight has decreased from the past weight within the predetermined period. Even if it is a case or a case where the status quo is maintained, it can be defined as a success.

  FIG. 12 is an explanatory diagram showing an example of the configuration of the life pattern-specific improvement item database D15 of the present embodiment. The life item-specific improvement item database D15 is a database storing improvement items recommended for each life pattern. In the improvement item database D15 by life pattern, a life pattern identifier D1501, an improvement item identifier D1502, a meal / exercise D1503, and an importance D1504 are registered. The life pattern identifier D1501 stores classification information related to the life pattern. An identifier common to the life pattern identifier D1402 of the life pattern-inquiry database D16 is used. The improvement item identifier D1502 stores an improvement item identifier that matches the lifestyle pattern. The meal / exercise D1503 indicates whether the improvement item registered in the improvement item identifier D1502 is an improvement item related to meal or an improvement item related to exercise. For example, “1” is registered for improvement items related to meals, and “2” is registered for improvement items related to exercise. The importance D1504 stores the importance of the improvement item for each life pattern.

  FIG. 13 is an explanatory diagram showing an example of the configuration of the life pattern-inquiry database D16 of the present embodiment. The life pattern-inquiry database D16 is a database in which information on life patterns closely related to the inquiry is registered. The life pattern-inquiry database D16 stores an inquiry identifier D1601, a life pattern identifier D1602, and a life pattern name.

  As the inquiry identifier D1601, an inquiry identifier related to the life pattern is registered, and an identifier common to the inquiry identifier D1301 of the inquiry information database D13 is used.

  As the life pattern identifier D1602, an identifier of a life pattern related to the inquiry is registered, and an identifier common to the life pattern identifier D1402 of the life pattern-specific participant classification database D14 is used. In the life pattern name D1603, a name related to the life pattern is registered.

  In the example of FIG. 13, the life patterns closely related to the interview are set to 1: 1, but many life patterns may correspond to one interview, and a plurality of interviews may be performed for one life pattern. There may be.

  In this embodiment, a person who is instructed to lose weight by an instructor (such as a health nurse or doctor) sets a target weight (for example, 5% of the current weight) according to the weight, The present invention relates to a system in which lifestyle habits to be improved toward weight are implemented as life improvement items, and weight loss records and daily life records are input.

  The system asks participants about their lifestyles at the stage of preparation for participation, and proposes lifestyle improvement items to suit individual lifestyles. This process is shown in the participation preparation processing means M2, and details are shown in the participant registration processing means M22.

  In addition, the participant inputs daily life records and weight loss records, and these life records and weight loss records are stored in the database. This processing is shown in the participant data input / browsing processing means M3.

  In addition, the system generates life improvement items that match the lifestyle based on instructions from the system administrator. This process is shown in the life pattern-specific improvement item generation means M6.

  First, the participation preparation processing means M2 that interrogates participants about lifestyles at the stage of participation preparation and proposes life improvement items so as to suit individual lifestyles will be described.

  FIG. 14 is a block diagram showing an example of functional elements of the participation preparation processing means M2 of the present embodiment. The participation preparation process is a process of registering a participant who receives health guidance from the health guidance support system according to the present embodiment from the leader terminal device 200.

  In the participation preparation process, first, the server-side management means is activated to prepare for various processes (M20). Next, a leader authentication process is activated to authenticate access from the leader terminal device 200 to the health guidance support system (M21).

Thereafter, the participant process registration process is started, and the participant information and the participant inquiry information are registered in the participant management database D4 of the server 400 (M22). Participant registration processing means M22
Details will be described later with reference to the drawings.

  Next, the participant data input / browsing processing means M3 in which the participant inputs daily life records and weight loss records, stores the data in a database, and browses registered data will be described.

  FIG. 15 is a block diagram showing an example of functional elements of the participant data input / browsing processing means M3 of the present embodiment. Participant data input / browsing processing means M3 is a process activated when a participant or the like requests access to the weight loss recording database D5 and the life recording database D17 of the server 400 via the participant terminal device 300.

  When the server 400 receives an access request for the weight loss record database D5 and the life record database D17 from the participant terminal device 300 (or the instructor terminal device 200) to the server 400, the server-side management means M30 performs participant authentication processing means. Start M31. Participant authentication processing means M31 of server 400, based on information included in the access request and information such as ID and password D407 registered in participant management database D4, Authenticate. When the authentication is completed, the server 400 specifies the identifier of the participant from the ID and password at the time of authentication, reads the participant data from the weight loss record database D5, and causes the participant terminal device 300 to display the data (individual weight loss record display). Means M32).

  In the participant terminal device 300, the date, weight, and the executed weight reduction menu (identifier) are input to the date D502, weight D503, and serial numbers D504 to D507, respectively, to the weight loss recording database D5 (data input processing means M33). The server 400 writes the input received from the participant terminal device 300 in the weight loss recording database D5 (data registration processing means M34).

In the participant terminal device 300, the date D1702 and the life record D1703 are input to the life record database D17 (data input processing means M33). The server 400 writes the input received from the participant terminal device 300 in the life record database D17 (data registration processing means M34).
Participants register their daily weight loss records and daily life records, and by viewing the data, participants can see if weight loss is progressing well, and what kind of life / events occurred during periods when weight did not decrease much be able to.
The data input here is accumulated and used to classify the participants into life patterns using the accumulated data.

  Next, the life item-specific improvement item generating means M6 for generating life improvement items that match the life style according to instructions from the system administrator will be described.

  FIG. 16 is a block diagram illustrating an example of functional elements of the life pattern-specific improvement item generation unit M6 of the present embodiment. The life item-specific improvement item generation means M6 is activated when an administrator requests access to the weight loss recording database D5, the medical examination inquiry database D11 or the individual weight loss target database D12 of the server 400 via the administrator terminal device 100.

  First, the server-side management means activates an administrator authentication process (M61) and authenticates the administrator. After the authentication is successful, the accumulated data classification assigning means (M62) is activated, and the administrator assigns the life pattern classification to the past weight loss participant data and stores it in the life pattern-specific participant classification database D15.

  Next, the improvement item classified by life pattern is produced | generated from the information of the improvement item which the participant selected (M63). Details of the accumulated data classifying means (M62) and the generation of improvement items by life pattern (M63) will be described later with reference to the drawings.

  Next, the participant is inquired about the lifestyle in the stage of participation preparation, and the details of the participant registration processing for proposing lifestyle improvement items so as to suit the individual lifestyle are shown by the participant registration processing means M22. FIG. 17 is a flowchart showing an example of processing by the participant registration processing means M22 of the present embodiment.

  In the participant registration process, first, the instructor terminal device 200 receives input of basic information, measurement information, and system information of the participant. At this time, a participant registration screen is displayed on the leader terminal device 200, and the leader inputs necessary items (221). Information input to the leader terminal device 200 is transmitted to the server 400 and registered in the participant management database D4 (222).

  Next, the server 400 reads out the inquiry information from the inquiry information database D12 and transmits it to the participant terminal apparatus 300. Note that the contents of the interview to be read may be selected based on the participant information input in step 222. For example, the contents of the interview can be selected based on the gender of the participant, the current weight, and the like.

  The participant terminal device 300 displays the received inquiry information (223). The contents of the interview include information on lifestyle. The participant terminal device 300 accepts an input of an answer to the inquiry. At this time, an inquiry answer input screen is displayed on the participant terminal device 300, and the participant inputs an answer to the inquiry (224). The answer input to the participant terminal device 300 is transmitted to the server 400 and registered in the inquiry result database D7 (225).

  Next, the server 400 sends information necessary for setting the weight loss program to the participant terminal device 300. At this time, a program setting screen for each individual (see FIG. 28) is displayed on the participant terminal device 300, and the participant inputs information necessary for creating a weight loss program (target weight, weight loss start date and weight loss implementation period). . The information input to the participant terminal device 300 is transmitted to the server 400 and registered in the individual weight loss target database D12 (226).

  The server 400 calculates a calorie target to be reduced per day from the set information, and sends the calculated target calorie to the participant terminal device 300. The participant terminal device 300 displays the target calorie transmitted from the server 400 on the individual program setting screen (227). Furthermore, the server 400 extracts the weight loss menu from the meal calorie database D9 and the exercise calorie database D10. Then, the server 400 sends the extracted meal menu and exercise menu to the participant terminal device 300. The participant terminal device 300 displays the weight reduction menu (meal menu and exercise menu) transmitted from the server on the individual program setting screen (228).

Further, the server 400 refers to the information registered in the inquiry result database D7 and the life pattern-inquiry database D16, displays a weight loss menu suitable for the individual life pattern, an improvement item database D15 for each life pattern, and a meal calorie database D9. And the exercise calorie database D10 is referred and extracted. Then, the server 400 sends the extracted meal menu and exercise menu to the participant terminal 300. The participant terminal device 300 displays the weight reduction menu (meal menu and exercise menu) transmitted from the server on the individual program setting screen. (229)
The participant terminal device 300 accepts the selection of the weight reduction menu (230). At this time, the participant may select a plurality of the same menus. The selected weight loss menu is transmitted to the server 400 and registered in the individual program database D8 (231).

  The server 400 calculates the target calorie and extracts the weight loss menu to be presented. In step 226, the participant terminal apparatus 300 does not send the information necessary for creating the weight loss program to the server 400 in step 226. Calculation of the target calorie and extraction of the presented weight loss menu may be performed. In this case, in step 230, information is registered in the individual weight loss target database.

  Life interviews are conducted for new participants, and life improvement items that match the lifestyle patterns of the participants are presented in descending order of importance. The life improvement item suitable for can be selected.

  As for the method of calculating the importance of life improvement items in life patterns, life improvement items that are often selected by people with the same life pattern are highly important, and life improvement items that appear only in specific life patterns are highly important. Therefore, it is possible to present life improvement items peculiar to the lifestyle.

  FIG. 18 is a flowchart showing an example of a weight reduction menu display process performed in the display of the recommended weight reduction menu by life pattern in step 229 of FIG.

  First, the server 400 obtains a related life pattern by referring to the life pattern-interview database D16 for the interview item for which “corresponding” is answered in the current interview result D703 of the participant interview result database D7 (2701). Here, in the case where “applicable” is answered in response to an inquiry regarding a plurality of lives, it corresponds to a plurality of life patterns. If you want to assign one life pattern to participants, refer to the answers in the questionnaire for improvement of D704 in the interview result database D7. A life pattern related to an inquiry with a large value of D704 of D7 is assigned.

  Next, based on the life pattern identifier acquired in step 2701, the recommended improvement item identifier D1502 and meal / exercise D1503 in the life pattern-specific improvement item database D15 are acquired in order of importance. At this time, recommended improvement items corresponding to the number of calories that the participant should consume per day may be acquired (2702). For example, if the participant has to consume 300 kcal per day, three recommended improvement items (one is an improvement item of 100 kcal) are acquired.

  In step 2703, if the meal / exercise D1503 indicates a meal for the recommended improvement item identifier D1502 acquired in step 2702, the meal menu name D903 is acquired from the meal calorie database D9, and the participant terminal device 300 If the meal / exercise D1503 indicates exercise, the exercise menu name D1003 is acquired from the exercise calorie database D10, transmitted to the participant terminal device 300, and displayed on the individual program setting screen.

  Life interviews are conducted for new participants, and life improvement items that match the lifestyle patterns of the participants are presented in descending order of importance. The life improvement item suitable for can be selected.

  FIG. 19 shows a sequence diagram of the weight reduction menu selection (steps 226 to 231) shown in FIG. The participant terminal apparatus 300 requests the server 400 for the individual program registration screen shown in FIG. 20 (2801). The server 400 authenticates the participant who uses the participant terminal device 300 as described above, specifies the identifier of the participant, and then outputs an individual program registration screen corresponding to the authenticated participant (2802). ).

  In the participant terminal device 300, the participant inputs a target weight, a weight reduction start date, and a weight reduction implementation period on the individual program registration screen displayed on the display or the like (2803).

  When the server 400 receives the target weight, the weight reduction start date, and the weight reduction execution period from the participant terminal device 300, the server 400 achieves the target weight within the weight reduction execution period from the weight registered in the participant management database D4 in advance. Then, the target number of weight loss calories per day is calculated and output to the individual program registration screen (2804). In the example of FIG. 20, it is necessary to reduce 311.1 kcal per day. Next, for each of the meal menu and the exercise menu, the server 400 queries the meal calorie database D9 and the exercise calorie database D10 for the weight loss menu (2805), and returns the weight loss menu from the database to the server 400 (2806, 2807). Also, the server 400 inquires the recommended weight loss menu by life pattern to the improvement item database D15 by life pattern, the inquiry result database D7, the meal calorie database D9, and the exercise calorie database D10 (2808), and the weight loss menu suitable for the individual life pattern. Is extracted (2809). Then, the server 400 sends the extracted meal menu and exercise menu to the participant terminal 300 (2810). The participant terminal device 300 displays the weight loss menu (meal menu and exercise menu) transmitted from the server in the weight loss menu display area ST in FIG. 20 and the life pattern recommended weight loss menu in the life pattern recommended weight loss menu display area LF. indicate.

  Participants who operate the participant terminal device 300 select a card CD of 100 kcal from the meal menu or exercise menu so as to be equal to or more than the target weight loss per day output on the individual program registration screen (2811). ). This selection is performed by clicking a check box provided at the upper left of each card CD, and the server 400 calculates the total amount of heat of the selected card CD to obtain the “current energy difference” in FIG. Output. Then, after selecting the number of cards CD necessary for the target weight loss per day, the participant presses the “OK” button shown in FIG. 20 on the participant terminal device 300 (2812). When the determination button is pressed, the server 400 sets the weight loss menu identifier (meal menu identifier D901 or exercise menu identifier D1001) selected by the participant terminal device 300, the target weight, the weight loss start date, and the weight loss implementation period as an individual program. It is registered in the database D8 (2813, 2814).

  FIG. 20 is an explanatory diagram showing an example of an individual program registration screen provided by the server 400 to the participant terminal device 300. The individual program setting screen is displayed on the display or the like of the participant terminal device 300, and the participant uses this screen to set the weight reduction menu.

  The starting weight is displayed on the individual program setting screen. The individual program setting screen is provided with input fields for target weight, weight loss start date, and weight loss implementation period. The individual program setting screen is provided with display fields for weight after weight loss and calories per day to be reduced. In addition, on the individual program setting screen, the weight reduction menu (meal menu and exercise menu) is displayed in card form (ST), and the recommended weight reduction menu that matches the personal life pattern is also displayed in card form (LF). The In addition, a display field (DP) for the selected weight loss menu is provided.

  As shown in FIG. 20, at the time of initial display, the start weight input in the participant registration (221 in FIG. 17) is displayed. After that, when the participant inputs the target weight, the weight reduction start date, and the weight reduction implementation period, the weight after weight loss and the daily calories to be reduced are calculated, and the calculation result is displayed.

  Further, a weight reduction menu is displayed on the card CD (meal and exercise column ST in FIG. 20). In this weight loss menu, one card CD is set to a predetermined calorie (for example, 100 kcal). This weight loss menu is displayed separately for meals and exercises, and further, meals are classified into staple foods, fruits, snacks, etc., and exercises are classified into walks / runs, sports, etc. and displayed.

  The recommended weight loss menu that fits your personal life pattern is also displayed in card format (LF), and the result of the interview about life is used as a reference for the card selected by the weight loss participant who has a similar life pattern in the past. Information is displayed. The participant may display the calculated daily calorie reduction cards in order of importance. By referring to the information of past participants, it is possible to select a card that is easy for people who have difficulty in improving their lifestyle, such as people who have a lot of drinking parties or people who have many business trips.

  Participants refer to the calculated daily calories to be reduced and select the displayed weight loss menu. When the participant selects the weight loss menu, as shown in FIG. 20, a list of the selected weight loss menus is displayed in a predetermined display field DP, and calories to be reduced by the selected card are calculated. Is displayed.

The weight loss menu is set to a predetermined calorie card, so if a participant chooses any weight loss menu and the number of weight loss menus selected is the same, the desired weight loss goal will be achieved. Can do.
In the initial state, the weight reduction menu list is set so that the meal amount is reduced in the meal menu and the exercise amount is increased in the exercise menu, but the increase / decrease for each menu can be changed. For example, depending on the combination of weight reduction menus selected, the number of meal menus with high calories (small amount corresponding to 100 kcal) is reduced by X, and the number of low-calorie (large amounts of food corresponding to 100 kcal) is increased by Y. . At this time, by setting X> Y, it is possible to create a weight loss program that reduces calories in total, and the range of options for the user can be expanded.
Finally, by operating the “OK” button, the input information is transmitted to the server 400 and registered in the individual program database D8.

  Next, processing for classifying past participants by life pattern using life record data will be described.

FIG. 21 is a flowchart showing an example of processing by the accumulated data classification assigning means M62 of the present embodiment shown in FIG.
The server 400 displays a life record data acquisition screen as shown in FIG. The user checks the required attributes and presses the download button (6201). The server extracts information requested by the user with reference to the medical examination database D11 and the life record database D17 (6202). The user classifies the participants, reads a file to which an identifier relating to the classification of the life pattern and the name of the life pattern, a file indicating the relationship between the life pattern classification and the inquiry, reads the participant classification database D15 by life pattern, Store in the pattern-inquiry database D16 (6203).

  For each participant, information on whether the weight loss has been successful or failed in the past is given with reference to the individual weight loss target database D12 and the weight loss recording database D5. Information is stored in the participant classification database D15 by life pattern (6204).

  By classifying past participants by life pattern using life record data and medical examination inquiry data, the life item-specific improvement item generation means M63 can be used to generate improvement item data for each life pattern. Note that the process of assigning classifications should be performed by an administrator who is familiar with the data.

  The process of the life pattern-specific improvement item generating means M63 will be described later. A method for semi-automatically assigning classifications to past participants will also be described later.

FIG. 22 is an explanatory diagram illustrating an example of a life record data acquisition screen that the server 400 provides to the administrator terminal device 100 and the instructor terminal device 200.
The life record data acquisition screen is displayed on the display or the like of the manager terminal device 100 or the leader terminal device 200, and the manager or the leader gives a classification of past participants using this screen.
The life record data acquisition screen includes a designation unit for designating a period during which past participants have participated in the weight loss program, and a designation unit for designating attributes of participants such as age, gender, job type, and work history.
The user designates these attributes, downloads information about the corresponding participant, and assigns a life pattern classification.

  Next, a process for generating recommended improvement items for each life pattern using data in which past participants are classified by life pattern will be described.

FIG. 23 is a flowchart showing an example of processing by the life pattern-specific improvement item generating unit M63 of the present embodiment shown in FIG.
The server 400 displays an improvement item generation screen for each life pattern as shown in FIG. The user refers to the screen, selects a life pattern improvement item generation target group name (FIG. 24GR) and a meal / exercise improvement item (FIG. 24CA) to generate a recommended improvement item for which life pattern, and a generation method ( FIG. 24MT) is selected, and a creation button is pressed to generate improvement items by life pattern (6301). Acquire life improvement item execution record data of past participants belonging to the life pattern classification specified in step 6301. Also, information on whether each participant succeeded in weight loss is acquired (6302). Calculate how many improvement items each participant who belongs to the life pattern classification is implementing, for each successful weight loss participant and all weight loss participants (6303). The processing is divided according to the importance calculation method (in order of the number of persons to be executed / TF-IDF value) selected on the improvement item generation screen for each life pattern (6304).
If it is in order of the number of persons to be implemented, the importance level indicates how many improvement items are implemented by past participants belonging to the life pattern classification obtained in step 6303 (6305). In addition, when it is desired to rank the improvement item cards more frequently implemented by successful losers (considering the proportion of successful losers in FIG. 24), the calculation is performed based on the following equation.
[Equation 1]
Proportion of successful weight loss with life pattern l and improvement item c =
Number of people who succeeded in weight loss who belong to life pattern l and who implemented improvement item c /
Number of people who succeeded in weight loss belonging to life pattern l [Formula 2]
Proportion of successful persons in life pattern l for improvement item c
Proportion of successful weight loss who belong to life pattern l and improved item c /
Proportion of improvement item c implemented by all weight-loss participants belonging to life patterns l

According to the calculation method of [Equation 2], the importance of life improvement items performed more by successful persons becomes higher, and life improvement items that are easy to succeed in weight reduction can be presented to new participants.

If the TF-IDF values are in order, a TF-IDF value is calculated for each improvement item closely related to each life pattern (6306).
Here, about TF-IDF method

Will be described. The TF-IDF method is used for calculating the degree of association between a word and a document. A frequency tf (t, d) of a word t appearing in a document d and a scale called idf (t) (inverse document frequency) indicating how many times the word t appears in all documents This is a method using a product tf (t, d) * idf (t) as a weight. Here, N is the total number of documents, and df (t) is the number of documents in which the word t appears. This method is a method of calculating relevance from the viewpoint that terms that appear many times in one document are appropriate as document features, but that words that appear in many documents are not appropriate as document features. .

  This TF-IDF method is improved and used to calculate the degree of association between life patterns and improvement items. Let tf (c, l) be the frequency of implementation of how many people implemented the improvement item c carried out by people belonging to a certain life pattern l. Also, tf (c, l) * 1 / df (c), where df (c) is the number of life patterns in which the improvement item implementer is included, that is, how many patterns an improvement item appears in all life patterns. Calculate Here, N is the total number of life patterns, and df (c) is the number of life patterns in which the improvement item c appears.

Thus, life improvement items often implemented by people with the same life pattern are highly important, and life improvement items that appear only in a specific life pattern can be high in importance. New participants who have a lifestyle pattern that makes it difficult to lose weight can know information on life improvement items that are easy to implement.

In addition, life improvement items that are often implemented by people with the same life pattern are highly important, and life improvement items that appear only in specific life patterns are highly important and have been implemented by people who have succeeded in weight loss in the past. When it is desired to calculate the importance so that the improved item becomes more important, the ratio of successful persons in the life pattern l of the improved item c [Equation 2] can be used for tf (c, l).
Thereby, the new participant who has the life pattern which is hard to lose weight can know the information of the life improvement item which is easy to carry out and is easy to succeed in weight reduction.

Using this method, the importance of each improvement item is calculated, and the identifier of the life pattern classification and the identifier of the improvement item are both stored in the improvement item database D14 by life pattern (6307).
In step 6303, the importance level is the number of past participants who belong to the life pattern classification implementing the improvement item, but this can be modified to take into account the implementation rate of the life improvement item.

  The implementation rate is a value calculated for each improvement item and for each participant, and is the number of improvement item implementations against the number of improvement items selected by a participant i (the number of days the improvement item was selected during the weight reduction implementation period) Can be calculated.

  The implementation rate can be expressed as follows:

[Equation 5]
Implementation rate of improvement item c for participant i =
Total number of implementations of improvement item c for participant i
Total number of selections for improvement item c for participant i

For those who belong to a certain life pattern l and have selected an improvement item, the average of the implementation rates of the improvement item c of the participant i can be calculated as the implementation rate of the improvement item c in a certain life pattern. This value can be regarded as an importance level, and tf (c, l) in the above TF-IDF method can be calculated as an implementation rate.

Thereby, the card which a participant can carry out more easily can be shown for every life pattern.
In step 6303, the number of improvement items that the past participants belonging to the life pattern classification have implemented is regarded as the importance. However, this can be modified to take into account the weight reduction effect of the life improvement items.

The weight loss effect is a value calculated for each improvement item and for each participant. The weight loss effect for an improvement item of a participant i can be calculated by the following equation.
[Equation 6]
Participant i's reduction effect of improvement item c =
Participant i weight loss x Participant i improvement item c
Total number of improvements for all improvement items for participant i

For the improvement item c selected by a person belonging to a certain life pattern l, the average of the weight reduction effects of the improvement item c of the participant i can be calculated as the weight reduction effect of the improvement item c in a certain life pattern. This value can be regarded as the importance, and tf (c, l) in the above TF-IDF method can be calculated as a weight loss effect.
As a result, improvement items with a high weight loss effect can be presented higher.

  In addition, there are various methods for assigning importance levels for the presentation of life improvement item rankings. The method proposed above is a method for presenting characteristic life improvement items specifically for lifestyle habits. .

  When presenting a life improvement item to a new participant, for example, presenting a life improvement item specialized in lifestyle according to the above method together with the presentation of a life improvement item that can be easily implemented by any person It can be considered.

FIG. 24 is an explanatory diagram illustrating an example of an improvement item generation screen for each life pattern provided by the server 400 to the administrator terminal device 100 or the instructor terminal device 200.
The improvement item generation screen for each life pattern is displayed on the display of the administrator terminal device 100 or the leader terminal device 200, and the administrator or the leader uses this screen to generate recommended improvement items for each life pattern.
In the improvement item generation screen for each life pattern, the designation part that specifies the life pattern that generates the recommended improvement item, the designation part that specifies the classification (meal / exercise) of the improvement item, and the importance of the recommended improvement item A calculation method designating section for selecting the degree calculation method is included.
The recommended calculation method designating section includes a designating section for designating the order of selection frequency and TF-IDF value order, and a designating section for designating consideration for successful weight loss.
For details of this process, refer to the process by the improvement item generating means M63 for each life pattern.

  As for the method of calculating the importance of life improvement items in life patterns, life improvement items that are often selected by people with the same life pattern are highly important, and life improvement items that appear only in specific life patterns are highly important. Therefore, it is possible to present life improvement items peculiar to the lifestyle.

  Next, when there is a many-to-many relationship between the interview and the life pattern in the life pattern-interview database D16, a new participant is interviewed, and the life pattern most suitable for the participant is returned based on the interview. Also, explain how to return the recommended weight loss menu by life pattern.

  FIG. 26 is a flowchart showing an example of a modification of the process by displaying the recommended weight reduction menu by 229 life pattern of the participant registration processing means M22 of the present embodiment shown in FIG.

  Since the result of the interview with the participant is stored in the interview result database D7, the interview result database D7 and the life pattern-interview database D16 are referred to, and the current interview result D702 is “applicable” in the interview result database D7. As a result of the current interview, the life pattern associated with the interview and the interview in the interview IDD 1601 of the lifestyle pattern-interview database is acquired (27001). For each life pattern, the number of interviews related to the interview in which the current interview result D702 is “applicable” (or the numerical value of the improvement implementation questionnaire D704 in the interview result database D7 of the corresponding interview) is added (27002). Step 27002 is performed for each life pattern (27003, 27004). The score obtained in step 27002 is divided by the number of interviews related to the life pattern (or the number obtained by adding the numerical values of the improvement questionnaire D704 of the interview result database D7 of the interview related to the life pattern) (27005). Of the scores by life pattern obtained in step 27005, the highest score is obtained (27006). The lifestyle pattern with the highest score is the lifestyle pattern that is most suitable for the participants who are returned based on the interview. With reference to the improvement item database D15 classified by life pattern, an improvement item matching the life pattern is acquired (27007). Life improvement item information related to meal / exercise is obtained from the improvement item information by life pattern (27008).

  By this method, when the interview and life patterns are many-to-many (one-to-many and many-to-one cases are also applicable), the most suitable life pattern can be presented to a new participant.

  Next, a method for semi-automatically assigning classifications in the process of classifying past participants based on accumulated data for each life pattern will be described.

  FIG. 27 is a flowchart showing an example of a modification of the accumulated data classification assigning means M62 of the present embodiment shown in FIG.

  The life pattern classification generation screen as shown in FIG. 28 is displayed, and is used for classification target (start date, age, sex, etc.), cluster information (number of classifications, average value of each cluster attribute, standard deviation, etc.), and cluster analysis. Designate attributes (life record data / medical examination data) and press the create button (62001). Based on the information in step 62001, data to be classified is extracted from the life record database D17 and the medical examination inquiry database D11, and a cluster is formed using a clustering algorithm.

Here, there are various algorithms that can be used for clustering. Among representative clustering methods, the hierarchical clustering method and the K-means method will be briefly described.
Hierarchical clustering starts from a state where all N data points (participants to be classified) are considered as different classes, and the closest ones are merged according to the distance between the classes, and finally k points. It is a method of obtaining the cluster of.
The distance between classes to select two classes to merge is

Use the Euclidean distance between the class average vectors as shown in.

Here, c _i means the i-th cluster, and the data point to be classified is a vector represented by n attributes. The attribute means an item included in the life record data and the medical examination inquiry data, and the attribute used for clustering uses the attribute selected on the life pattern classification generation screen as shown in FIG. The average vector μ _i means an average value vector for each attribute of data points belonging to the cluster i, and is a vector represented by n attributes.

Here, there are various methods for calculating the distance, but it is better to select a method that depends on the data and class is classified into the most meaningful classification.
In the K-means clustering method, the number of classes is known, and average vectors μ ₁ , μ ₂ , μ _k , and Λ of each class are obtained by the following iterative calculation.
(1) Select an appropriate initial value for the mean vector. The simplest is to choose randomly from the learning data.
(2) Using the current average vector, classify N pieces of data into the average vector class with the closest distance.
(3) After all the data has been classified, recalculate the average vector for each class.
(4) Repeat steps (2) and (3) until all the average vectors do not change.
For classification of accumulated data, either hierarchical clustering or K-means may be used. The K-means method also has a drawback that the result of clustering depends greatly on the initial value.

  After the cluster is generated using the above clustering method, each cluster information is displayed on a life pattern classification generation (cluster information) screen showing information of the generated cluster as shown in FIG. 29 (62002). As the cluster information, for example, the average value or standard deviation of each attribute is shown for each cluster. For example, when three clusters are obtained as shown in FIG. 29, the average and standard deviation of attribute values such as “the number of drinks” and “the number of snacks” of the persons belonging to each cluster are displayed.

  By looking at the cluster information displayed in step 62002, an attribute having a high average value is set as a cluster feature, a classification name representing the cluster feature is assigned to each cluster, and a decision button is pressed (62003). In the example of cluster 1 in FIG. 29, since the average value of the number of snacks is high, a classification name such as “Many snacks” is given.

  In the process of assigning a classification name, there are cases where the cluster creator looks at the cluster information and assigns a classification name or the system assigns it.

  It is desirable that the cluster creator sees the cluster information and assigns a classification name to an administrator who is familiar with the data.

  The process for automatically assigning a classification name based on the cluster information is described below. The classification names to be automatically assigned are stored in advance in a plurality of types of databases. For example, a classification name such as “group with a lot of snacks” or a classification name that characterizes a cluster such as “a group with a lot of business trips” is stored. In addition, a set of each classification name and closely related attribute information is also stored in the database. For example, an attribute such as “number of snacks” is associated with “a group with a lot of snacks”.

  Based on the average value and standard deviation of each attribute of each cluster calculated in step 62002, a classification name is assigned to the cluster. The method of assigning each cluster is (1) assigning a category name associated with the attribute with the highest average value, and (2) assigning a category name associated with the attribute with the smallest standard deviation. Assign a classification name.

A classification name is given to the participant belonging to each cluster generated in Step 62003, and stored in the participant classification by life pattern D15 (62004).
By this method, past participants can be classified semi-automatically by life pattern.

  FIG. 28 is an explanatory diagram illustrating an example of a life pattern classification generation screen that the server 400 provides to the administrator terminal device 100 and the instructor terminal device 200.

The life pattern classification generation screen is displayed on the display of the administrator terminal device 100 or the leader terminal device 200, and the administrator or the leader uses this screen to generate a life pattern classification.
The life pattern classification generation screen includes a classification target specifying section OB for specifying a classification target (past participants), a cluster information magazine bottom CL for specifying display of information on the number of clusters and generated clusters, and past participation. An attribute designation unit DT that designates what kind of information the cluster is to be generated from is included.

  Life patterns of accumulated data of past participants can be classified semi-automatically. The classified results are displayed on a life pattern classification generation (cluster information) screen showing information on the generated clusters as shown in FIG.

FIG. 29 is an explanatory diagram illustrating an example of a life pattern classification generation screen (cluster information) that the server 400 provides to the administrator terminal device 100 and the instructor terminal device 200.
The life pattern classification generation (cluster information) screen is displayed on the display or the like of the administrator terminal device 100 or the leader terminal device 200, and the administrator or the leader gives a life pattern classification name using this screen.

  The life pattern classification generation (cluster information) screen is a screen for displaying what characteristics each generated cluster has and giving a classification name to the cluster. Therefore, the average value and standard deviation are displayed for each attribute of each cluster. By looking at these pieces of information, the administrator assigns a classification name and determines the cluster classification name.

Life patterns of accumulated data of past participants can be semi-automatically assigned.
The server side management means M20, M30, and M61 may be the same. Further, the participant authentication processing means M22 and M31 may be the same.

It is a block diagram which shows the structure of the health guidance support system of embodiment of this invention. It is explanatory drawing which shows the structure of the participant management database of embodiment of this invention. It is explanatory drawing which shows the structure of the inquiry information database of embodiment of this invention. It is explanatory drawing which shows the structure of the inquiry result database of embodiment of this invention. It is explanatory drawing which shows the structure of the individual weight loss target database of embodiment of this invention. It is explanatory drawing which shows the structure of the program database classified by individual of embodiment of this invention. It is explanatory drawing which shows the structure of the meal calorie database of embodiment of this invention. It is explanatory drawing which shows the structure of the exercise calorie database of embodiment of this invention. It is explanatory drawing which shows the weight loss recording database structure of embodiment of this invention. It is explanatory drawing which shows the medical examination inquiry database structure of embodiment of this invention. It is explanatory drawing which shows the participant classification database structure according to the life pattern of embodiment of this invention. It is explanatory drawing which shows the improvement item database structure according to the life pattern of embodiment of this invention. It is explanatory drawing which shows the life pattern-inquiry database structure of embodiment of this invention. It is a block diagram which shows the functional element of the participation preparation process means of embodiment of this invention. It is a block diagram which shows the functional element of the participant data input and browsing process means of embodiment of this invention. It is a block diagram which shows the functional element of the improvement item production | generation means classified by life pattern of embodiment of this invention. It is a flowchart which shows the process of the participant registration process means of embodiment of this invention. It is a flowchart which shows the detailed process of the recommended weight reduction menu process according to life pattern of step 229 among the processes of the participant registration process means shown in FIG. 25 of the embodiment of the present invention. It is a time chart of the display process of the weight loss menu of embodiment of this invention. It is an example of a screen of the display of the weight reduction menu of embodiment of this invention. It is a flowchart which shows the process of the accumulation | storage data classification provision part of embodiment of this invention. It is an example of a screen of accumulation data classification acquisition of an embodiment of the invention. It is a flowchart which shows the process of the improvement item production | generation means classified by life pattern of embodiment of this invention. It is an example of a screen of the improvement item production | generation classified by life pattern of embodiment of this invention. It is explanatory drawing which shows the structure of the life record database of embodiment of this invention. The flowchart which shows the modification of the process by a display of the recommended weight reduction menu according to 229 life pattern of the participant registration process means M22 of embodiment of this invention. It is a flowchart which shows an example of the modification of the stored data classification provision means M62 of embodiment of this invention. It is explanatory drawing which shows an example of the life pattern classification | category production | generation screen of embodiment of this invention. It is explanatory drawing which shows an example of the life pattern classification | category production | generation screen (cluster information) of embodiment of this invention.

Explanation of symbols

100 administrator terminal device 200 leader terminal device 300 participant terminal device 400 server M2 participation preparation processing means M20 server side management means M21 leader authentication processing means M22 participant registration processing means M3 participant data input / browsing processing means M30 server Side management means M31 Participant authentication processing means M32 Individual weight loss record display means M33 Data input processing means M34 Data registration processing means M6 Life pattern-specific life improvement item generation means M61 Server side management means M62 Administrator authentication processing means M63 Accumulated data classification Granting means M64 Improvement item generating means by life pattern D1 Instructor management database D4 Participant management database D5 Weight loss recording database D7 Questionnaire result database D8 Individual program database D9 Dietary calorie database D10 Exercise calorie database D11 Health checkup interview database D12 Individual weight loss target database D13 Questionnaire information database D14 Participant classification database by life pattern D15 Improvement item database by life pattern D16 Life pattern-inquiry database D17 Life record database ST Card display area LF Recommended card display area CD card DP Selected card display area GR Group name selection area CA Improvement item selection area MT Importance method selection area OB Classification target designation area CL Cluster information designation area DT Attribute designation area

Claims (9)

A leader terminal device used by a leader, a participant terminal device used by a participant, a server device connected to the leader terminal device and the participant terminal device, and a database,
The server device receives participant information including inquiry information input from the participant terminal device or the leader terminal device, registers the received participant information in the database, and is registered in the database. Based on the information of the participant, the weight reduction menu suitable for the implementation by the participant is extracted, and the information on the extracted weight reduction menu is transmitted to the participant terminal device,
The participant terminal device accepts a selection by displaying the extracted weight loss menu,
The server device receives the implementation status of the selected weight loss menu input from the participant terminal device and the status of the participant's weight loss, registers the received implementation status and the weight loss status, It is determined whether or not the registered implementation status and weight loss status satisfy a predetermined condition, and the result of the determination is transmitted to the leader terminal device,
In the health guidance support system that displays the result of the determination, the leader terminal device,
In the database, life pattern categories corresponding to the contents of the inquiry information are stored, and the life pattern categories and life improvement items related to the life patterns are stored in association with each other. importance of life improvement items in the in the pattern of the categories are associated with each other,
The category of the life pattern is classified based on life information during the weight loss period of past weight loss participants,
The server device extracts a corresponding life pattern category from the database based on the transmitted inquiry information, and extracts a plurality of life improvement items corresponding to the extracted life pattern category in order of importance, Send the extracted life improvement items to the participant's terminal together with the life pattern category,
A health guidance support system for displaying the transmitted life improvement items and life pattern category information on a display means in a participant's terminal. In the health guidance support system according to claim 1,
The server device classifies past participants for each life pattern,
The said database stores the information of the said past participant for every classification | category with the life information during the weight loss period of the said past participant, The health guidance support system characterized by the above-mentioned. In the health guidance support system according to claim 2,
The said server apparatus classifies the said past participant based on the living information during the said weight loss period, The health guidance support system characterized by the above-mentioned. In the health guidance support system according to claim 2,
A health guidance support system, wherein the database stores life improvement items performed by past participants. In the health guidance support system according to claim 1,
The database stores past participant information, information on the category of the life pattern to which the past participant belongs, and the life improvement items performed by the past participant,
The server device calculates the number of times each of the life improvement items performed by the past participant, and calculates the number of categories of the life pattern including the improvement item performer among the past participants. A health guidance support system, wherein the ratio between the calculated number of executions and the number of categories is calculated as the importance in the life pattern. In the health guidance support system according to claim 5,
The importance is calculated based on the relationship with the category of the life pattern and the weight loss success rate of the past participants. In the health guidance support system according to claim 4,
The database stores information indicating whether the past participant succeeded or failed in weight loss,
The server device calculates, based on information on successful weight loss of past participants belonging to the category of the certain life pattern, the percentage of people who have implemented the life improvement item for each life improvement item, and the category of the life pattern The ratio of those who implemented the life improvement items among all the past participants belonging to
For each life improvement item, calculate the ratio of successful and all participants of life improvement items in the category of the life pattern,
A health guidance support system characterized in that the number of life pattern categories including the improvement item implementer is calculated, and the importance of the life improvement item in the life pattern is calculated based on the calculation result. A leader terminal device, a participant terminal device, a server device connected to the leader terminal device and the participant terminal device, and a database,
The server device receives participant information including inquiry information input from the participant terminal device or the leader terminal device, registers the received participant information in the database, and is registered in the database. Based on the information of the participant, the weight reduction menu suitable for the implementation by the participant is extracted, and the information on the extracted weight reduction menu is transmitted to the participant terminal device,
In the health guidance support system for displaying the extracted weight loss menu, the participant terminal device,
The database stores life pattern categories corresponding to the contents of the inquiry information , stores the life pattern categories and life improvement items related to the life patterns in association with each other, stores the life improvement items, and stores associated with the importance of life improvement items in the in the pattern of the category,
The category of the life pattern is classified based on life information during the weight loss period of past weight loss participants,
Furthermore, the past participant information is stored together with information on the category of the life pattern to which the past participant belongs and the life improvement item performed by the past participant,
The server device extracts a corresponding life pattern category from the database based on the transmitted inquiry information, and the number of times each life improvement item is executed by past participants in the life pattern category. And calculating the number of categories of the life pattern including the improvement item implementer among the past participants, and the ratio between the calculated number of implementations and the number of categories as the importance in the life pattern Calculate and send the calculated life improvement item to the participant's terminal together with the life pattern category,
A health guidance support system for displaying the transmitted life improvement items and life pattern category information on a display means in a participant's terminal. In the health guidance support system according to claim 8,
The importance is calculated based on the relationship with the category of the life pattern and the weight loss success rate of the past participants.

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