KR20230068670A - Server and method for providing customized diet through nutritional judgment for the elderly - Google Patents

Abstract

According to a preferred embodiment of the present invention, a customized diet providing server through nutrition judgment for the elderly calculates the evaluation score of the questionnaire item using user input information for the questionnaire item for evaluating the user's condition, and based on the same intention of the questionnaire A filter for grouping the questionnaire items to create a plurality of groups, calculating group evaluation scores of the plurality of groups based on evaluation scores of the questionnaire items, and generating a plurality of group filters based on the group evaluation scores. It includes a generation unit, a matching unit that matches the plurality of group filters with a pre-stored food list, and a menu generation unit that creates a user-customized menu using a plurality of matching food information according to the matching result.

Description

Server and method for providing customized diet through nutritional judgment for the elderly {SERVER AND METHOD FOR PROVIDING CUSTOMIZED DIET THROUGH NUTRITIONAL JUDGMENT FOR THE ELDERLY}

The present invention relates to a server and method for providing customized meals through nutritional judgment for the elderly.

Existing diet recommendation methods and systems calculate simple suitability for the user's current food intake, and a simple recommendation function is provided according to the purpose. For example, in the case of a weight loss diet, the diet was composed of fragmentary matching in order to achieve the goal, such as how many Kcal was consumed, whether nutritional value was evenly distributed, or whether the composition was mainly protein.

As the purpose of diet is different for each user, and the need for a diet that reflects disease history and genetic background is gradually increasing, services that provide customized diets through feedback from experts who manage diets are increasing. .

In recent years, the number of elderly care recipients has increased, and accordingly, meals suitable for age by care level, diets suitable for the caregiver's disease, meal plans considering the elderly's nutrition, and independent food intake and preparation are required.

In addition, not only elderly care recipients but also caregivers are increasing, and accordingly, professional meal management, meal preparation considering nutritional status, meal education suitable for the gender and age of recipients, and meal preparation suitable for disease are required.

Republic of Korea Patent No. 10-1711118

Accordingly, the present invention has been devised in view of the above circumstances, and aims to provide a server and method for providing a customized diet through nutritional judgment for the elderly that provides customized diets for the elderly, nursing care recipients, recipient families, and caregivers. to be

In order to achieve the above object, according to a preferred embodiment of the present invention, a customized diet providing server through nutrition judgment for the elderly calculates the evaluation score of the questionnaire item using user input information for the questionnaire item for evaluating the user's condition, , Grouping the survey items based on the same survey intention to create a plurality of groups, calculating group evaluation scores of the plurality of groups based on the evaluation scores of the questionnaire items, and calculating a plurality of groups based on the group evaluation scores. It includes a filter creation unit that creates a group filter, a matching unit that matches the plurality of group filters to a pre-stored food list, and a menu creation unit that creates a user-customized menu using a plurality of matching food information according to the matching result. .

The filter generating unit assigns grades to the plurality of groups based on the group evaluation scores, defines states of the plurality of groups according to the grades assigned to the plurality of groups, and determines states from the plurality of groups defined. The plurality of group filters may be created.

The filter generating unit calculates a total evaluation score by summing evaluation scores of a plurality of questionnaire items constituting any one of the plurality of groups, and divides the total evaluation score by the number of the plurality of questionnaire items to evaluate the group. score can be calculated.

When calculating the group evaluation score, the filter generating unit may further consider recuperation state information of the user collected from an external server.

The filter generation unit assigns a high grade to the plurality of groups when the group evaluation score corresponds to a preset maximum value, and assigns an intermediate grade to the plurality of groups when the group evaluation score corresponds to a preset median value. A grade is assigned, and when the group evaluation score corresponds to a predetermined minimum value, a lower grade may be assigned to the plurality of groups.

The filter generation unit defines a plurality of groups having higher grades as positive states, generates a plurality of group filters of positive states, defines a plurality of groups having intermediate grades as neutral states, and defines a plurality of groups having neutral states. It is possible to generate a group filter of , define a plurality of groups having a lower grade as a negative state, and create a plurality of group filters in a negative state.

The plurality of groups may include a group related to the user's disease, chewing, body mass index (BMI), and digestive function.

It may further include a registration unit configured to classify food information by type, create a food list, designate intake attributes and attention or recommendation attributes to the food list, and store the food list in a database unit.

The intake attributes may include disease types, nutrients, sex, age, and whether or not chewing is possible.

In order to achieve the above object, a method for providing a customized diet through nutritional judgment for the elderly according to a preferred embodiment of the present invention calculates the evaluation score of the questionnaire item using user input information for the questionnaire item for evaluating the user's condition. step; a group creation step of generating a plurality of groups by grouping the survey items based on the same survey intention; a group evaluation step of calculating group evaluation scores of the plurality of groups based on evaluation scores of the questionnaire items; a rating setting step of generating a plurality of group filters based on the group evaluation scores; a matching step of matching the plurality of group filters to a pre-stored food list; and a menu creation step of generating a user-customized menu by using a plurality of matching food information according to the matching result.

The rating setting step may assign ratings to the plurality of groups based on the group evaluation scores, define states of the plurality of groups according to the ratings assigned to the plurality of groups, and define states of the plurality of groups. It is possible to generate the plurality of group filters from.

In the group evaluation step, a total evaluation score is calculated by summing the evaluation scores of a plurality of questionnaire items constituting any one group among the plurality of groups, and the total evaluation score is divided by the number of the plurality of questionnaire items to determine the group An evaluation score can be calculated.

In the group evaluation step, when calculating the group evaluation score, recuperation state information of the user collected from an external server may be further considered.

In the step of setting grades, when the group evaluation score corresponds to a preset maximum value, a high grade is assigned to the plurality of groups, and when the group evaluation score corresponds to a preset median value, intermediate grades are assigned to the plurality of groups. A grade of is assigned, and when the group evaluation score corresponds to a preset minimum value, a lower grade may be assigned to the plurality of groups.

The level setting step defines a plurality of groups having higher grades as positive states, generating a plurality of group filters of positive states, defining a plurality of groups having intermediate grades as neutral states, and defining a plurality of groups having intermediate grades as neutral states. It is possible to generate a plurality of group filters, define a plurality of groups having a lower grade as negative status, and create a plurality of group filters in negative status.

The plurality of groups may include a group related to the user's disease, chewing, body mass index (BMI), and digestive function.

A food list registration step of classifying food information by type to create a food list, designating intake attributes and attention or recommendation attributes to the food list, and storing the food list in a database unit;

The intake attributes may include disease types, nutrients, sex, age, and whether or not chewing is possible.

According to a server and method for providing customized meals through nutritional judgment for the elderly according to a preferred embodiment of the present invention, by automatically searching for food suitable for the user in consideration of the user's nutritional and medical condition, It has the effect of providing a customized diet for caregivers and the like.

1 is a conceptual diagram of a customized diet provision service through nutritional determination for the elderly according to a preferred embodiment of the present invention.
2 is a block diagram of a server for providing customized meals through nutrition determination for the elderly according to a preferred embodiment of the present invention.
3 is a diagram showing an example of a questionnaire item for user nutrition evaluation according to a preferred embodiment of the present invention.
4 is a diagram showing an example of a plurality of groups according to grouping of survey items according to a preferred embodiment of the present invention.
5 is a diagram showing an example of a food list matched with a plurality of group filters according to a preferred embodiment of the present invention.
6 is a diagram showing an example of an intake attribute and a recommendation or attention attribute assigned to a food list according to a preferred embodiment of the present invention.
7 is a diagram showing an example of matching food information according to a matching result of a server providing customized meals through nutritional determination for the elderly according to a preferred embodiment of the present invention.
8 is a flow chart of a method for providing a customized diet through nutritional judgment for the elderly according to a preferred embodiment of the present invention.
9 is a flowchart of a food list registration method according to a preferred embodiment of the present invention.
10 is a flowchart of a method for collecting user care state information according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, in adding reference numerals to components of each drawing, it should be noted that the same components have the same numerals as much as possible even if they are displayed on different drawings. In addition, although preferred embodiments of the present invention will be described below, the technical idea of the present invention is not limited or limited thereto and can be modified and implemented in various ways by those skilled in the art.

1 is a conceptual diagram of a user-customized diet providing service according to a preferred embodiment of the present invention. 2 is a block diagram of a server for providing customized meals through nutrition determination for the elderly according to a preferred embodiment of the present invention.

Referring to FIGS. 1 and 2, the server 100 for providing customized meals through nutritional judgment for the elderly according to a preferred embodiment of the present invention provides customized meals for the elderly, nursing care recipients, recipient families, and caregivers. As such, it includes a communication unit 110, a filter generation unit 120, a registration unit 130, a database unit 140, a matching unit 150, and a menu generation unit 160.

The communication unit 110 may receive input information of a user or a guardian about a survey item for evaluating a user's state prepared in advance from the mobile device 200 . Here, the questionnaire items include information such as age, gender, change in appetite, change in weight, activity level, mental stress, presence of dementia, BMI (Body Mass Index), food intake information, whether or not one can eat alone, upper arm circumference, and calf circumference. It can be composed of sentences representing Individual survey items may include a plurality of selection items. The mobile device 200 may receive user information through the user's or guardian's selection of a plurality of selection items. The user's or guardian's input information may be directly input into the server 100 for providing customized meals through nutrition determination for the elderly, rather than through the mobile device 200 .

The communication unit 110 may receive user care state information from the external server 300 . Here, the user's recuperation status information may include a recuperation status record including body function status, excretion status, eating status, and disease status. The external server 300 may be an elderly long-term care insurance server, but is not limited thereto. Meanwhile, the communication unit 110 may also receive user recuperation state information and a food list from the mobile device 200 .

The filter generation unit 120 may receive input information of a user or a guardian on a questionnaire item from the communication unit 110 . The filter generating unit 120 may calculate an evaluation score for each question item through input information of a user or a guardian. The filter generating unit 120 may calculate an evaluation score for a survey item according to a selection item selected by a user or a guardian from among a plurality of selection items specified in the questionnaire item. Here, each of the plurality of selection items may have a relatively high evaluation score for a positive answer, and a relatively low evaluation score for a negative answer.

In one embodiment, when the plurality of selection items is two, evaluation scores of 0 and 1 may be applied.

In one embodiment, when the plurality of selection items is three, an evaluation score of 0 to 2 may be applied.

In one embodiment, when the plurality of selection items is 4, an evaluation score of 0 to 3 may be applied.

When calculation of evaluation scores for the survey items is completed, the filter generator 120 may group survey items having the same survey intention into one group. The filter generator 120 may create a plurality of groups through grouping of survey items. The plurality of groups may include a disease related group, a chewing related group, a body mass index (BMI) related group, a digestive function related group, and the like.

The filter generation unit 120 may calculate a group evaluation score by summing evaluation scores of a plurality of questionnaire items constituting one group and dividing the total evaluation scores by the number of questionnaire items.

Meanwhile, the filter generating unit 120 may log in to a separate application installed in the server 100 using an authentication key method. The filter generating unit 120 may obtain a pre-stored medical care number of the user. The filter generating unit 120 may access the external server 300 using the user's request number. The filter generating unit 120 may retrieve the user's status record sheet from the external server 300 . The filter generating unit 120 may crawl and store the recuperation state of the user according to the state recording sheet. The recuperation state of the user may include a physical function state, an excretion state, a meal state, and a disease state. The filter generating unit 120 may calculate group evaluation scores of a plurality of groups by further considering the crawling result. In one embodiment, when a specific disease is a dangerous state in the user's medical condition information, a group evaluation score of a specific disease-related group may be lowered. On the other hand, when a specific disease is in a good state in the user's medical care state information, a group evaluation score of a specific disease-related group may be increased.

The filter generating unit 120 may set an evaluation grade of one of high, middle, and low for each of a plurality of groups according to values close to each other among preset minimum, median, and maximum group evaluation scores. A plurality of groups may be defined as a positive state as the evaluation grade is higher, and may be defined as a negative state as the evaluation grade is lower. A plurality of groups may be defined as a neutral state when the evaluation level is medium. The positive state may include a state without a specific disease, a state in which chewing is possible, a normal weight state, and a state in which digestion is possible. The negative state may include a state with a specific disease, a state in which chewing is impossible, an obese state, and an indigestible state. The neutral state may be included in either one of a positive state and a negative state according to a user's needs.

The filter generation unit 120 may set a plurality of groups of which conditions are defined as group filters for matching with food lists.

When food information is received from the communication unit 110, the registration unit 130 may classify food information by type and create a food list. Here, the types of food are side dishes, main side dishes, soup/tang, stew, dessert, noodles/dumplings, rice/porridge/tteok, fusion, kimchi/salted fish/paste, seasoning/sauce/jam, western food, salad, soup, and snacks. , tea/beverage, etc.

The registration unit 130 may designate intake attributes to food lists classified by type. Here, the intake attribute may include disease, nutrients, gender, age, whether or not chewing is possible, and the like. Also, the registration unit 130 may designate attention or recommendation attributes for each intake attribute.

The registration unit 130 may store in the database unit 130 a list of foods to which intake attributes and attention or recommendation attributes are designated.

The database unit 140 may be provided within the customized restaurant providing server 100 or outside the customized restaurant providing server 100 . The database unit 140 may store a food list in which intake attributes and recommended or attention attributes are specified.

The matching unit 150 may match a plurality of group filters received from the filter generating unit 120 with a food list pre-stored in the database unit 140 . The matching unit 150 may transmit a plurality of matching food information matched to a plurality of group filters to the menu generator 160 .

The menu creation unit 160 may create a user-customized menu using a plurality of matching food information. The menu creation unit 160 may create a weekly meal plan by generating a plurality of user-customized menus. The menu creation unit 160 may transmit a user-customized menu or a weekly meal plan to an agreed restaurant terminal (not shown) or delivery company terminal (not shown). Thereafter, the restaurant terminal may provide a user-customized menu to the cook so that food is cooked. The delivery company terminal may deliver a pre-cooked meal to the user by providing the user-customized menu to the delivery service provider.

3 is a diagram showing an example of a questionnaire item for user nutrition evaluation according to a preferred embodiment of the present invention.

Referring to FIG. 3 , questionnaire items for user nutrition evaluation may appear on the screen through application execution of the mobile device 200 . Questionnaires may have sentences that directly or indirectly correspond to age, gender, eating habits, diseases, chewing, BMI, indigestion, and the like. The questionnaire items may include A to F items, but are not limited thereto and may include fewer or more items.

Each survey item may have a plurality of selection items. A plurality of selection items may have arbitrary answer contents for corresponding survey questions. Multiple choice items may have positive, negative, or neutral answer content.

In one embodiment, items A through C, and E may have three choices. In one embodiment, items D and F2 may have two choices. In one embodiment, an F1 item may have four choices. Here, only one of the F1 question and the F2 question may be selected by the user.

When a selection item is selected by a user, an evaluation score may be set for the questionnaire item. For the survey question, a higher evaluation score may be set as the selection question has a positive answer. For the survey question, a lower evaluation score may be set as the selected question has a negative answer. When the selected question is not a positive or negative answer, an appropriate evaluation score may be set according to the needs of the user.

As described above, these survey items may be grouped into items having similar survey intentions by the filter generation unit 120 .

4 is a diagram showing an example of a plurality of groups according to grouping of survey items according to a preferred embodiment of the present invention.

Referring to FIG. 4 , the plurality of groups may include a first group GP1 , a second group GP2 , a third group GP3 , and a fourth group GP4 . The first group GP1 may be a group of questionnaire items related to diseases such as heart disease, high blood pressure, and gastrointestinal disorder. The first group GP1 may have an average value of 10 points in the evaluation points of the questionnaire items. As the average value of the first group GP1 approaches the maximum value (eg, 10 points), the evaluation grade may appear as high.

The second group GP2 may be a grouping of authoring-related questionnaire items, such as authoring possibility and authoring impossibility. In the second group GP2, the average value of the evaluation scores of the questionnaire items may be 5 points. As the average value of the second group GP2 approaches the median value (eg, 5 points), the evaluation grade may appear as intermediate.

A third group (GP3) may be a group of BMI-related questionnaire items such as obesity and overweight. The third group GP3 may have an average value of 10 points in the evaluation points of the questionnaire items. As the average value of the third group GP3 approaches the maximum value (eg, 10 points), the evaluation grade may appear as high.

A fourth group (GP4) may be a grouping of digestion-related questionnaire items, such as digestion good and indigestion. In the fourth group (GP4), the average value of the evaluation scores of the questionnaire items may be 0 points. The evaluation grade of the fourth group GP4 may appear to be low as the average value of the group is close to the minimum value (eg, 0 point).

5 is a diagram showing an example of a food list matched with a plurality of group filters according to a preferred embodiment of the present invention.

Referring to FIG. 5 , a food list searched by the first to fifth group filters may be checked. The type of food searched by the first group filter may be food for which consumption recommendation is determined according to the type of disease. The type of food searched by the second group filter may be food for which consumption recommendation is determined according to whether or not it can be chewed. The type of food searched by the third group filter may be food for which consumption recommendation is determined according to BMI. The type of food searched by the fourth group filter may be food for which consumption recommendation is determined according to a digestive function. The type of food searched by the fifth group filter may be food for which consumption recommendation is determined according to age. Here, although the fifth group filter has not been described in FIG. 4 , it is additionally described as the number of group filters is not limited.

6 is a diagram showing an example of an intake attribute and a recommendation or attention attribute assigned to a food list according to a preferred embodiment of the present invention.

Referring to FIG. 6 , it can be confirmed that intake attributes and recommendation or attention attributes are designated for each type of food.

In one embodiment, in the case of black soybean rice corresponding to rice among food types, intake attributes such as heart disease, vitamin E, inability to chew, female, and 75 years of age or older may be designated. In addition, in the case of black bean rice, the following attributes may be specified: attention to heart disease, recommendation for vitamin E, attention to inability to chew, recommendation for women, and caution for those over 75 years of age. That is, in the case of a heart disease, inability to chew, or a user aged 75 years or older, caution is required in the intake of black bean rice, so black bean rice may be excluded from the user-customized diet. On the other hand, for women who need vitamin E, black bean rice can be included in a customized diet.

In one embodiment, in the case of kimchi soup (bean sprouts) corresponding to soup/tang among food types, intake attributes such as gastrointestinal disorder, vitamin C, non-mastication, female, and over 75 years of age may be designated. In addition, in the case of kimchi soup (bean sprouts), the attributes of caution for gastrointestinal disorders, caution for vitamin C, caution for inability to chew, recommendation for women, and caution for those aged 75 or older may be assigned. That is, in the case of a gastrointestinal disorder, inability to chew, or a user aged 75 years or older, caution is needed in the intake of kimchi soup (bean sprouts), so kimchi soup (bean sprouts) may be excluded from the user-customized diet. On the other hand, for women who need vitamin C, kimchi soup (bean sprouts) can be included in a customized diet.

In one embodiment, in the case of stewed cod (gochujang), which is a main side dish among food types, intake attributes such as heart disease, vitamin B, chewability, and female may be designated. In addition, in the case of braised cod poultry (gochujang), the attributes of recommending vitamin B with caution for heart disorders, recommending against chewing, and recommending for women can be designated. That is, in the case of a user with heart disease, care must be taken in the intake of braised cod (gochujang), so braised cod (gochujang) can be excluded from the user's customized diet. On the other hand, for women who cannot chew and need B vitamins, codfish stew (gochujang) can be included in a customized diet.

As described above, the food list may be matched by a plurality of group filters by specifying intake attributes and attention or recommendation attributes, and may be included or not included in a user-customized menu according to matching results.

7 is a diagram showing an example of matching food information according to a matching result of a server providing customized meals through nutritional determination for the elderly according to a preferred embodiment of the present invention.

Referring to FIG. 7 , matching food information matched to the disease-related first group filter may include multigrain rice, mackerel kimchi stew, bean curd, seasoned with three-color vegetables, and the like. Mixed grain rice, mackerel kimchi stew, bean curd, and seasoned with three-colored vegetables may have disease-related intake attributes and precautions or recommended attributes specified.

Matching food information matched to the second group filter related to chewing may include soymilk, milk, and the like. Soymilk and milk may have chewing-related intake properties and caution or recommendation properties specified.

Matching food information matched to the third group filter related to BMI may include sweet pumpkin sujebi, squid and corn pancake, red pepper and onion pickles, and dongchimi. Sweet pumpkin sujebi, squid and corn pancake, pickled red pepper onion, and dongchimi may have nutrient-related intake attributes and precautions or recommended attributes specified.

Matching food information matched to the fourth group filter related to digestive function may include injeolmi, tangerines, and the like. Injeolmi and tangerines may have gastrointestinal disorder-related intake properties and caution or recommended properties.

Matching food information matched to the age-related fifth group filter may include multigrain rice, soybean paste stew, steamed egg, inanimate objects, and the like. Multigrain rice, soybean paste stew, steamed egg, and inanimate objects may have age-related intake attributes and caution or recommended attributes specified.

As in the above example, matching food information matched to each of a plurality of group filters may be changed according to the user's needs.

8 is a flow chart of a method for providing a customized diet through nutritional judgment for the elderly according to a preferred embodiment of the present invention.

Referring to FIG. 8 , the method for providing a customized diet through nutritional judgment for the elderly according to a preferred embodiment of the present invention includes a receiving step (S810), a calculating step (S820), a group creation step (S830), and a group evaluation step (S840). ), a grade setting step (S850), a matching step (S860), and a menu creation step (S870).

In the receiving step (S810), the communication unit 110 receives the user's input information on the questionnaire item. Questionnaires may include sentences related to the user's nutritional status. Questionnaires may be displayed through the mobile device 200, but are not limited thereto, and may be displayed through other media capable of communication and display. A survey item may include a plurality of optional items. User input information may be generated through the user's selection of a plurality of selection items.

In the calculation step ( S820 ), the filter generation unit 120 may calculate the evaluation score for the questionnaire item using the user's input information. The filter generation unit 120 may assign a higher evaluation score to the survey item as the selection item selected by the user has a positive answer, and assign a lower evaluation score to the questionnaire item as the selection item has a negative answer.

In the group creation step ( S830 ), the filter creation unit 120 may create a plurality of groups by grouping survey items having the same survey intention. The plurality of groups may include a disease-related group, a chewing-related group, a BMI-related group, and a digestion-related group. The plurality of groups is not limited thereto and may include a larger number of groups.

In the group evaluation step ( S840 ), the filter generation unit 120 may calculate group evaluation scores for each of a plurality of groups. The filter generation unit 120 may calculate a group evaluation score by summing the evaluation scores of the questionnaire items constituting one group and then dividing the total evaluation scores by the number of questionnaire items. The filter generation unit 120 may further consider the recuperation state of the user when calculating the group evaluation score.

In the rating setting step (S850), the filter generating unit 120 may set ratings to a plurality of groups based on the group evaluation scores. The filter generating unit 120 may set an evaluation grade of one of high, middle, and low for each of a plurality of groups according to values close to each other among preset minimum, median, and maximum group evaluation scores. A plurality of groups may be defined in a positive state, a neutral state, or a negative state according to the evaluation level. The filter generation unit 120 may set a plurality of groups of which conditions are defined as group filters for matching with food lists.

In the matching step ( S860 ), the matching unit 150 may match a plurality of group filters with a food list pre-stored in the database unit 140 . The matching unit 150 may obtain a plurality of matching food information matched to a plurality of group filters. The matching unit 150 may transmit a plurality of matching food information to the menu generator 160 .

In the customized menu creation step (S870), the menu generator 160 may create a user-customized menu using a plurality of matching food information. The menu creation unit 160 may create a weekly meal plan by generating a plurality of user-customized menus.

9 is a flowchart of a food list registration method according to a preferred embodiment of the present invention.

Referring to FIG. 9 , the food list registration method according to a preferred embodiment of the present invention may include a reception step (S910), a classification step (S920), a designation step (S930), and a storage step (S940).

In the receiving step (S910), the communication unit 110 may receive various types of food information from the outside. Here, the types of food are side dishes, main side dishes, soup/tang, stew, dessert, noodles/dumplings, rice/porridge/tteok, fusion, kimchi/salted fish/paste, seasoning/sauce/jam, western food, salad, soup, and snacks. , tea/beverage, etc.

In the classification step (S920), upon receiving food information from the communication unit 110, the registration unit 130 may classify food information by type to generate a food list.

In the designation step (S930), the registration unit 130 may designate intake attributes to the food list classified by type. Here, the intake attributes may include diseases, nutrients, sex, age, and chewing. Also, the registration unit 130 may designate attention or recommendation attributes for each intake attribute.

In the storage step (S940), the registration unit 130 may store in the database unit 130 a list of foods to which intake attributes and attention or recommendation attributes are designated.

10 is a flowchart of a method for collecting user care state information according to a preferred embodiment of the present invention.

Referring to FIG. 10 , the user care state information collection method according to a preferred embodiment of the present invention includes a login step (S1010), an acquisition step (S1020), a collection step (S1030), a crawling step (S1040), and a storage step ( S1050) may be included.

In the login step (S1010), the filter generating unit 120 may log in to a separate application installed in the server 100 using an authentication key method.

In the obtaining step (S1020), the filter generating unit 120 may obtain the user's need number stored in advance.

In the collection step (S1030), the filter generating unit 120 may access the external server 300 using the user's care number. The filter creation unit 120 may collect the user's status record sheet from the external server 300 .

In the crawling step (S1040), the filter generation unit 120 may crawl the recuperation state of the user according to the state record sheet.

In the storage step ( S1050 ), the filter generation unit 120 may store the user's nursing state according to the crawling result. Here, the recuperation state of the user may include a physical function state, an excretion state, a meal state, and a disease state. Thereafter, the filter generating unit 120 may calculate group evaluation scores of a plurality of groups by further considering the crawling result.

The above description is merely an example of the technical idea of the present invention, and those skilled in the art can make various modifications, changes, and substitutions without departing from the essential characteristics of the present invention. will be. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are not intended to limit the technical idea of the present invention, but to explain, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings. .

Steps and/or actions in accordance with the present invention may occur concurrently in different embodiments, in different orders, or in parallel, or for different epochs, etc., as would be understood by one skilled in the art. can

In some embodiments, some or all of the steps and/or actions may include instructions, programs, interactive data structures, clients and/or servers stored on one or more non-transitory computer-readable media. At least some of them may be implemented or performed using one or more processors that do. The one or more non-transitory computer-readable media may illustratively be software, firmware, hardware, and/or any combination thereof. Additionally, the functions of a “module” discussed herein may be implemented in software, firmware, hardware, and/or any combination thereof.

100: Server providing customized meals through nutrition judgment for the elderly
110: communication department
120: filter generating unit
130: register
140: database unit
150: matching unit
160: diet generating unit
200: mobile device
300: external server

Claims (18)

An evaluation score of the questionnaire item is calculated using user input information on the questionnaire item for user status evaluation, a plurality of groups are created by grouping the questionnaire items based on the same questionnaire intention, and the evaluation score of the questionnaire item is calculated. a filter generation unit for calculating group evaluation scores of the plurality of groups based on and generating a plurality of group filters based on the group evaluation scores;
a matching unit that matches the plurality of group filters to a pre-stored food list; and
a menu generator for generating a user-customized menu using a plurality of matching food information according to the matching result;
A server providing a customized diet through nutritional judgment for the elderly, including a. According to claim 1,
The filter generator,
Grades are given to the plurality of groups based on the group evaluation scores, states of the plurality of groups are defined according to the grades assigned to the plurality of groups, and the plurality of groups are filtered from the plurality of groups whose states are defined. Server for providing a customized diet through nutritional judgment for the elderly, characterized in that for generating. According to claim 2,
The filter generator,
Calculating a total evaluation score by summing evaluation scores of a plurality of questionnaire items constituting one of the plurality of groups, and calculating the group evaluation score by dividing the total evaluation score by the number of the plurality of questionnaire items. A server that provides customized meals through nutritional judgment for the elderly. According to claim 3,
The filter generator,
When calculating the group evaluation score, the server for providing customized meals through nutritional judgment for the elderly, characterized in that further considering the user's medical condition information collected from an external server. According to claim 4,
The filter generator,
When the group evaluation score corresponds to a preset maximum value, a higher grade is given to the plurality of groups;
When the group evaluation score corresponds to a preset median value, an intermediate level is assigned to the plurality of groups;
The server for providing customized meals through nutritional judgment for the elderly, characterized in that for assigning a lower grade to the plurality of groups when the group evaluation score corresponds to a preset minimum value. According to claim 5,
The filter generator,
A plurality of groups having higher grades are defined as a positive state, a plurality of group filters of a positive state are created,
Define a plurality of groups having an intermediate level as a neutral state, create a plurality of group filters in a neutral state,
A server for providing a customized diet through nutritional judgment for the elderly, characterized in that a plurality of groups having a lower grade are defined as a negative state and a plurality of group filters of a negative state are generated. According to claim 1,
The plurality of groups include a group related to the user's disease, chewing, BMI (Body Mass Index), and digestive function. According to claim 1,
a registration unit that classifies food information by type to create a food list, assigns intake attributes and attention or recommendation attributes to the food list, and stores the food list in a database;
Server providing a customized diet through nutritional judgment for the elderly, characterized in that it further comprises. According to claim 8,
The intake attribute includes a type of disease, nutrients, gender, age, and whether or not chewing is possible. a calculation step of calculating an evaluation score of a questionnaire item using user input information on a questionnaire item for evaluating a user's state;
a group creation step of generating a plurality of groups by grouping the survey items based on the same survey intention;
a group evaluation step of calculating group evaluation scores of the plurality of groups based on evaluation scores of the questionnaire items;
a rating setting step of generating a plurality of group filters based on the group evaluation scores;
a matching step of matching the plurality of group filters to a pre-stored food list; and
A menu creation step of generating a user-customized menu using a plurality of matching food information according to the matching result;
A method of providing a customized diet through nutritional judgment for the elderly, including a. According to claim 10,
The level setting step is
Grades are given to the plurality of groups based on the group evaluation scores, states of the plurality of groups are defined according to the grades assigned to the plurality of groups, and the plurality of groups are filtered from the plurality of groups whose states are defined. Method for providing a customized diet through nutritional judgment for the elderly, characterized in that for generating. According to claim 10,
The group evaluation step,
Calculating a total evaluation score by summing evaluation scores of a plurality of questionnaire items constituting one of the plurality of groups, and calculating the group evaluation score by dividing the total evaluation score by the number of the plurality of questionnaire items. A method for providing a customized diet through nutritional judgment for the elderly. According to claim 10,
The group evaluation step,
When calculating the group evaluation score, the user's medical condition information collected from an external server is further considered. According to claim 11,
The level setting step is
When the group evaluation score corresponds to a preset maximum value, a higher grade is given to the plurality of groups;
When the group evaluation score corresponds to a preset median value, an intermediate level is assigned to the plurality of groups;
A method for providing a customized diet through nutritional judgment for the elderly, characterized in that assigning a lower grade to the plurality of groups when the group evaluation score corresponds to a preset minimum value. 15. The method of claim 14,
The level setting step is
A plurality of groups having higher grades are defined as a positive state, a plurality of group filters of a positive state are created,
Define a plurality of groups having an intermediate level as a neutral state, create a plurality of group filters in a neutral state,
A method of providing a customized diet through nutritional judgment for the elderly, characterized in that a plurality of groups having a lower grade are defined as a negative state and a plurality of group filters of a negative state are generated. According to claim 10,
The plurality of groups include a group related to the user's disease, chewing, BMI (Body Mass Index), and digestive function. According to claim 10,
a food list registration step of classifying food information by type to create a food list, designating intake attributes and attention or recommendation attributes to the food list, and storing the food list in a database;
A method of providing a customized diet through nutritional judgment for the elderly, characterized in that it further comprises. 18. The method of claim 17,
The intake attribute is a method of providing a customized diet through nutritional judgment for the elderly, characterized in that it includes the type of disease, nutrient, gender, age, and whether or not chewing is possible.

Images