JP2015102937A - Diet therapy support device and diet therapy support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a diet therapy support device and a diet therapy support method capable of providing information related to a diet therapy beneficial for a diseased patient.SOLUTION: A diet therapy support device 100 includes: a recipe determination part 110 for determining the recipe of a menu on the basis of information related to the menu received from a user terminal 200; and a calculation part 120 for transmitting information related to the nutrition of the menu calculated on the basis of the recipe and information related to a diet therapy with respect to the disease of a user to the user terminal 200.

Description

  The present invention relates to a diet therapy support apparatus and a diet therapy support method that provide information related to a disease diet therapy.

  In recent years, a system has been proposed for supporting a meal that takes nutrients in a well-balanced manner. For example, Non-Patent Document 1 describes a search system that searches for a menu considering nutritional balance when a recipe or material is input. Non-Patent Document 2 describes a system that supports a so-called “recording diet” in which a meal is recorded to grasp problems in the eating habits and improve the eating habits.

Shiho Rinmai, Kei Fujii, “Cooking Recipe Search System Considering Nutrient Intake Balance”, IEICE Transactions, Vol.J92-D No.7, pp.975-983, July 2009 Shiho Somame, Satoshi Fujii, “Food Life Support System Based on Analysis of Nutrient Intake Balance”, DBSJ Journal, Vol.8, No.4, March 2010

  However, the dietary support system that has been proposed in the past has not considered dietary therapy for sick patients. Therefore, even if a sick patient uses a meal support system to search for a menu, for example, he or she must determine whether or not the searched menu is compatible with the disease diet. Determining whether or not the disease is suitable for the diet is a burden for the ill patient and does not necessarily make an accurate determination. The calculation of nutrients is particularly complicated, and this determination may be stressful for ill patients who lack knowledge about nutrition. In addition, it is difficult to determine whether a meal when eating out is suitable for dietary therapy.

  Therefore, the objective of this invention made | formed in view of this point is to provide the diet therapy assistance apparatus and diet therapy assistance method which provide the information which concerns on a useful diet for a sick patient.

  In order to solve the above-described problems, the diet support apparatus according to the present invention is calculated based on the recipe determination unit that determines the recipe of the menu based on the information related to the menu received from the user terminal, and the recipe. And a calculator that transmits information related to nutrients in the menu and information related to a diet for a user's disease to the user terminal.

  The present invention can also be realized as a method substantially corresponding to the above-described diet therapy support apparatus, and it should be understood that these are also included in the scope of the present invention.

  For example, a diet therapy support method according to the present invention is a diet therapy support method in a diet therapy support device, and includes a determination step of determining a recipe of the menu based on information related to a menu received from a user terminal, and the recipe Transmitting the information related to the nutrients of the menu calculated based on the information and the information related to the diet for the user's disease to the user terminal.

  According to the diet therapy support apparatus and the diet therapy support method according to the present invention configured as described above, it is possible to provide information related to a diet therapy that is useful for sick patients.

1 is a system configuration diagram of a diet therapy support system according to an embodiment of the present invention. It is a figure which shows the example of the recognition of the menu by OCR. It is a figure which shows the example of recipe Linked Data typically. It is a figure which shows the example of the material of the recipe which the recipe determination part determined. It is a figure which shows typically the example of a part of unit conversion table | surface. It is a figure which shows the example of a part of material-component correspondence table | surface. It is a figure which shows typically the example of a part of food ingredient Linked Data. It is a figure which shows an example of a score calculation rule typically. It is a flowchart which shows the example of a series of operation | movement which a diet therapy assistance apparatus performs.

  Embodiments of the present invention will be described below with reference to the drawings. In the description of each embodiment and the drawings, functional units having similar functions will be described with the same reference numerals.

  FIG. 1 is a system configuration diagram of a diet therapy support system according to an embodiment of the present invention. The diet therapy support system includes a diet therapy support device 100 and a user terminal 200. The user terminal 200 is a communication terminal such as a mobile phone owned by a sick patient or the like (hereinafter referred to as “user”) using the system. The diet therapy support apparatus 100 and the user terminal 200 are mutually connected via a network 300 such as an Internet line, a WAN (Wide Area Network), a LAN (Local Area Network), an ADSL, an ISDN line, a telephone line, and a wireless network. It is connected so that it can communicate.

  The diet therapy support apparatus 100 receives information related to the menu and information related to the user's disease from the user terminal 200 via the network 300, and transmits information related to the diet therapy support to the user terminal 200. The information related to the menu is information that briefly indicates the contents of the dish, such as a specific dish name or a menu name at the restaurant. The information related to the user's disease is information indicating the user's disease such as food allergy or diabetes. The information related to diet therapy support includes information related to nutrients and information related to diet therapy for a user's disease. In addition, whether the information related to the diet for the user's illness is the information obtained by scoring the information related to the nutrient based on the user's illness or the numerical value of the scored information is within the range suitable for the diet for the user's illness It may include information regarding whether or not. Details of the information related to dietary support will be described later. The diet therapy support apparatus 100 includes a recipe determination unit 110, a calculation unit 120, and a storage unit 130. Here, the recipe determination unit 110 and the calculation unit 120 are different functional units in one dietary support device 100. For example, a CPU (Central Processing Unit) that executes a control program that defines each control procedure, and the like. It is composed of processors. Such a control program is stored in the storage unit 130, for example.

  The recipe determination unit 110 determines a menu cooking procedure (recipe) based on the menu received from the user terminal 200 by the diet therapy support apparatus 100. The user can transmit a menu from the user terminal 200 to the diet support apparatus 100 by various methods. For example, the user can cause the user terminal 200 to recognize the menu table by OCR (optical character recognition), and transmit the recognized menu table from the user terminal 200 to the diet therapy support apparatus 100. Such a method for recognizing a menu table by OCR is effective when, for example, a restaurant menu table is transmitted to the diet therapy support apparatus 100.

  FIG. 2 is a diagram illustrating an example of menu recognition by OCR. First, the user causes the user terminal 200 to recognize a menu table as shown in FIG. And the user terminal 200 extracts the character string which shows a menu from a menu table | surface by dividing | segmenting a character by symbols, such as a line feed symbol and a space symbol, among the text recognized by OCR. At this time, for example, since a character string including a number represents a money amount, the user terminal 200 may perform a process of excluding the character string including a number on the assumption that the character string does not indicate a menu. Further, for example, the user terminal 200 may perform a process of excluding that a character string including “recommendation”, “deal”, and the like is not a character string indicating a menu. After performing such processing, the user terminal 200 transmits a menu list schematically shown in FIG. 2B to the diet therapy support apparatus 100. 2B, when there are a plurality of menus recognized by the OCR, for example, the user terminal 200 may transmit all of the recognized menus to the diet support apparatus 100. . Further, for example, the user terminal 200 displays a list of identified menus on a display screen included in the user terminal 200, causes the user to select all or part of the displayed menus, and supports the selected menu for diet therapy You may transmit to the apparatus 100.

  In addition to the recognition by OCR, for example, the user inputs a menu to the user terminal 200 using an input unit such as an input key of the user terminal 200, and the menu that the user terminal 200 has input is eaten. You may transmit to the therapy assistance apparatus 100. FIG. In addition, for example, the user uses the user terminal 200 to obtain a menu posted on the Internet using a browser add-on, and transmits the obtained menu from the user terminal 200 to the diet therapy support apparatus 100. May be.

  The recipe determination unit 110 first determines a menu by referring to the recipe Linked Data 131 stored in the storage unit 130. The recipe Linked Data 131 stores, for example, information (recipe data) related to a recipe such as a dish name, ingredients, and a cooking procedure. The stored recipe data may be set in the recipe linked data 131 in advance. The stored recipe data may be created by the diet support apparatus 100 based on a recipe posted on a recipe introduction site on the Internet, for example. In this case, the diet therapy support apparatus 100 may create recipe data regularly or irregularly and update the recipe Linked Data 131.

  In this embodiment, the recipe Linked Data 131 stores information such as cooking categories, menus, ingredients, quantities, nutrients, etc. in a hierarchical structure, and recipes are stored in each category and each menu. Explain that it is. FIG. 3 is a diagram schematically illustrating an example of the recipe Linked Data 131. The recipe Linked Data 131 stores the recipe data in a format such as RDF (resource description framework). As shown in FIG. 3, the recipe Linked Data 131 includes data itself (nodes) and a relationship (link) between the data. In the recipe Linked Data 131, nodes are classified and stored in categories, menus, materials, quantities, and nutrients. For example, the category class stores food categories such as “croquette”, “stew”, and “curry”. In the menu class, for example, a specific dish such as “chicken curry” is stored as a node linked to “curry”. Also, as shown in FIG. 3, for example, a more specific menu such as “coconut chicken curry” may be stored as a node linked to “chicken curry”. Thus, each class may have a plurality of hierarchies.

  In addition, the recipe Linked Data 131 stores ingredients such as “onion”, “potato”, “coconut milk”, and “carreau” as nodes of the ingredient class linked to “coconut chicken curry”, and the quantity class linked to each ingredient. The amount of each ingredient included in the dish is stored as the node. As the amount of material, the amount for an arbitrary number of people can be stored, for example, the amount for one person can be stored. For example, when storing the amount for a plurality of people such as four servings, the calculation in the calculation unit 120 described later is performed by converting into the amount for one serving. Furthermore, the recipe Linked Data 131 stores the nutrients in the amount of each material as a node of the nutrient class linked to each amount. The stored nutrients can be information on any nutrition of the food, for example, the energy, protein, carbohydrate, vitamin amount, etc. of the food. Information on each node of the nutrient class is stored in the recipe linked data 131 based on a calculation result performed by the calculation unit 120 described later. Each node in the hierarchy below the material class may be stored in the recipe Linked Data 131 in advance, and is updated regularly or irregularly based on the recipe posted on the recipe introduction site on the Internet. Alternatively, when the diet therapy support apparatus 100 receives a menu from the user terminal 200, it may be created based on a recipe posted on a recipe introduction site on the Internet.

  Further, in FIG. 3, for “coconut chicken curry” positioned at the lowest level of the menu class, nodes below the material class are stored, but “curry” positioned at the higher level of the category class or menu class. Similarly, for “chicken curry” and the like, each may directly have a node below the material class.

  The recipe determination unit 110 determines a menu by referring to the recipe Linked Data 131. First, the recipe determination unit 110 checks whether or not a node that matches the menu received by the diet therapy support apparatus 100 is stored in the recipe linked data 131. For example, when the received menu is “hamburg”, the recipe determination unit 110 checks whether or not the node “hamburg” is stored in the recipe linked data 131. When a “hamburger” node exists in the category class of the recipe Linked Data 131, the received menu matches the node. In this case, the recipe determination unit 110 determines that the received menu is “hamburger”.

  If a node that matches the input menu is not stored in the recipe Linked Data 131, the recipe determination unit 110 performs a morphological analysis on the received menu. That is, the recipe determination unit 110 divides the received menu for each morpheme. Then, the recipe determination unit 110 confirms whether or not a node matching the noun phrase included in each divided morpheme is stored in the recipe Linked Data 131. As a result of collating each noun phrase with the node as a result of checking only one matching node, the recipe determination unit 110 determines the menu of the matching node as the received menu. For example, it is assumed that the received menu is “Chef's discerning curry”. The recipe determination unit 110 performs a morphological analysis on the received “chef's commitment curry” and selects the noun phrases “chef”, “dedication”, and “curry” from each morpheme. Then, it is confirmed whether or not a node that matches each noun phrase is stored in the recipe Linked Data 131. Here, in the recipe Linked Data 131, nodes that match the two noun phrases “chef” and “adherence” are not stored, but only nodes that match the noun phrase “curry” are stored in the category class. And In this case, the recipe determination unit 110 determines that the received menu is “curry”.

  In the menu determination by the morphological analysis, the recipe determination unit 110 replaces the presence / absence of a node that matches each noun phrase, or confirms the presence / absence of a node that matches each noun phrase, and includes a node that includes each noun phrase The presence or absence of may be confirmed. For example, the recipe determination unit 110 checks whether or not a node including the noun phrase “curry” is stored in the recipe Linked Data 131. Then, it is assumed that the recipe determination unit 110 confirms three nodes, for example, “curry”, “curry udon with chicken and bean sprouts”, and “indian spa (curry paghetti)”. In this case, the recipe determination unit 110 can determine, as a menu, a node that matches in a higher hierarchy in consideration of the hierarchy of each node. For example, the node “curry” is a category class, and the nodes “chicken and bean curry udon” and “indian spa (curry paghetti)” are menu classes. In this case, since the category class is an upper layer of the menu class, the recipe determination unit 110 receives “curry” instead of “chicken and bean curry udon” or “indian spa (curry paghetti)”. It is determined that

  When determining two or more nodes in the menu determination based on the morphological analysis, the recipe determination unit 110 further determines a menu based on the edit distance. For example, it is assumed that the recipe determination unit 110 has received the menu “Japanese style hamburger made of tofu with shimeji mushrooms”. In this case, the recipe determination unit 110 performs morphological analysis and selects the noun phrases “tofu”, “Japanese style”, “sticky”, “hamburg” and “shimeji”. Then, it is confirmed whether or not a node that matches each noun phrase is stored in the recipe Linked Data 131. In this case, for example, it is assumed that “hamburg” is stored in the category class and “tofu” and “shimeji” are stored in the material class. In this case, the recipe determination unit 110 selects a menu that is in the category “hamburg”, which is a category class higher than the material class, and includes “tofu” and “shimeji” in the material class. Then, when the recipe determination unit 110 confirms two or more nodes having the same hierarchy in the recipe Linked Data 131, the recipe determination unit 110 sets the edit distance between the confirmed node and the menu “Japanese style sticking hamburger made with tofu”. Calculate to determine the menu. The edit distance is calculated by a calculation algorithm based on the Levenshtein distance stored in the recipe determination unit 110, for example. The recipe determination unit 110 determines a menu based on the calculated editing distance. As described above, by determining the menu by a plurality of methods, the diet support device 100 can calculate the nutrients included in the menu with high accuracy even when the name is, for example, a complicated dish name or an ambiguous dish name. it can.

  After determining the received menu in this way, the recipe determination unit 110 refers to the recipe stored in each category or each menu of the recipe Linked Data 131 and determines the recipe of the determined menu.

  The calculation unit 120 performs calculations necessary to create information to be transmitted from the diet support apparatus 100 to the user terminal 200 based on the menu received by the diet support apparatus 100. The calculation unit 120 includes a unit conversion unit 121, a nutrition calculation unit 122, and a score calculation unit 123. Hereinafter, description will be made assuming that the material for one serving of the recipe determined by the recipe determining unit is as shown in FIG.

  The unit conversion unit 121 converts the material unit used in the recipe determined by the recipe determination unit 110 into a gram unit. In the recipe Linked Data 131, since the material is not necessarily described in units of grams, the calculation in the nutrition calculation unit 122 described later can be facilitated by converting the ingredients into units of grams. The unit conversion unit 121 performs unit conversion based on the unit conversion table 132 stored in the storage unit 130.

  FIG. 5 is a diagram schematically illustrating an example of a part of the unit conversion table. The unit conversion table 132 is a table showing a correspondence relationship between each unit of the amount of material, for example, “table tablespoon”, “spoon”, “cup”, “sheet”, “「 ”,“ liter ”, and the unit of weight“ gram ”. is there. The unit conversion table 132 may be stored in the storage unit 130 in advance, or, for example, from a website displayed as a result of performing a search by inputting a word such as “food ingredient unit conversion” into a search engine, by scraping. It may be constructed by extracting the correspondence between units. Referring to FIG. 5, for example, it is recognized that “ham” in the material of FIG. 4 corresponds to 10 g per sheet. The unit conversion unit 121 refers to the unit conversion table 132 and converts all materials used in the recipe to gram units.

  The nutrient calculation unit 122 calculates the nutrients of the materials used in the recipe determined by the recipe determination unit 110. The nutrition calculation unit 122 calculates nutrients based on the material / component correspondence table 133 and the food component linked data 134 stored in the storage unit 130.

  The material / component correspondence table 133 is a rule indicating a correspondence relationship between a material used in each recipe and a food component Linked Data 134 described later. That is, the material / component correspondence table 133 shows which food name each material corresponds to in the food component linked data 134. FIG. 6 is a diagram showing an example of a part of the material / component correspondence table 133. As shown in FIG. 6, the correspondence table between the material name and the food number described in the food component linked data shown in FIG. 7 is shown in the material / component correspondence table.

  The food component Linked Data 134 includes the disposal rate of each food, the amount of energy per gram, and the content of each nutrient per gram. The food component Linked Data 134 can be created based on an arbitrary information source. For example, the food component Linked Data 134 can be created based on a Japanese food standard ingredient table published by the Ministry of Education, Culture, Sports, Science and Technology. The food component Linked Data 134 is stored in the storage unit 130 in a format such as RDF, for example.

  FIG. 7 is a diagram schematically showing an example of a part of the food component Linked Data 134, and particularly shows an example of foods classified as vegetables. As shown in FIG. 7, the food component Linked Data 134 includes a food name and its classification (for example, processing state), a food number, a disposal rate of each food, an energy amount of each food per unit gram, and each food per unit gram. (In FIG. 7, protein, lipid, carbohydrate, and vitamin C are shown, but not limited thereto).

  First, the nutrition calculation unit 122 refers to the material / component correspondence table 133 to determine which food name is listed in the food component linked data 134 based on the recipe determined by the recipe determination unit 110. decide. Even if it is the same material, the energy and nutrient which a food has depend on a cooking method. Moreover, even if it is the same material, energy and a nutrient differ with processing methods and raw materials. For example, even if it is a material called “ham”, referring to the Japanese food standard ingredient table, as shown in FIG. 7, as shown in FIG. 7, with bone, boneless, loin, shoulder, press, mixed press, chopped, prosciutto (promoting), It is classified as raw ham (long-term aging), each with different energy and nutrients. Therefore, it is necessary to determine the correspondence between ingredients and food names. In the present embodiment, as shown in FIG. 6, the food number corresponding to the ham contained in the material is “11176”. Then, referring to FIG. 7, it can be confirmed that the food name corresponding to the food number “11176” is “ham / loin”.

  The material / component correspondence table 133 may be set in advance and stored in the storage unit 130, for example. Further, for example, the material / component correspondence table 133 may be created by the nutrition calculation unit 122 according to a predetermined algorithm. Further, for example, when there are a plurality of food names corresponding to the same material, such as the material “ham”, in the food component linked data 134, the correspondence between the material name and the food name is sent from the diet support device 100 to the user terminal 200. The diet therapy support apparatus 100 may create the material / component correspondence table 133 by transmitting a request to determine the information and inputting the correspondence relationship to the user terminal 200. In this case, using the example of the ham described above, the user terminal 200 displays on the display screen a bone, boneless, loin, shoulder, press, mixed press, chopped, cured ham (promoted), and cured ham that are candidates for mapping. The material / component correspondence table 133 may be created by displaying the option (long-term aging) and allowing the user to select one of the displayed options. When the material / component correspondence table 133 is created by this method, the material / component correspondence table may be created or updated each time the dietary support device 100 receives a menu from the user terminal 200.

  When the nutrition calculation unit 122 determines which food name each material describes in the food component Linked Data 134, then the nutrition calculation unit 122 stores the weight of the material determined by the unit conversion unit 121 and the food component Linked Data 134. Based on the disposal rate of the food corresponding to the described material, the intake amount that the user who ate the menu dish actually consumes the food is calculated. For example, it is assumed that the weight of a certain material used for cooking is determined to be 60 grams by the unit conversion unit 121, and the discard rate of the food material is 20%. In this case, the nutrition calculation unit determines the intake of this material as 60 grams × (100−20)% = 48 grams. Then, after determining the amount of food intake, the nutrition calculation unit 122 refers to the energy amount per unit gram of the food component Linked Data 134 and the content of each nutrient per unit gram, and the energy included in the food of the food material Calculate the amount and content of each nutrient.

  The score calculation unit 123 scores the energy amount and nutrients calculated by the nutrition calculation unit 122 based on the user's disease. Specifically, the score calculation unit 123 calculates a score based on the disease rule 135 stored in the storage unit 130.

  The disease rule 135 is a rule applied in the diet for each disease, and includes, for example, an ingestible food or nutrient, an ingestible food or nutrient, a range in which each nutrient can be ingested, and the like. For example, the disease rule 135 stores a rule that the amount of energy of the entire menu is appropriate and that the entire menu is balanced in nutrition as a rule for diabetes. For example, the disease rule 135 stores a rule that a specific food is not included throughout the menu as a rule for food allergy. The disease rule 135 is applied based on information related to the user's disease received from the user terminal 200 by the diet therapy support apparatus 100. The disease rule 135 may be stored in advance in the storage unit 130 for each disease. In addition, the disease rule 135 is configured as a module for each disease without being hard-coded in the storage unit 130, and by exchanging these modules, information related to diet therapy can be provided corresponding to various diseases. You may comprise. Hereinafter, the operation of the score calculation unit 123 will be specifically described when the diet support apparatus 100 receives information that the user is diabetic from the user terminal 200 and the disease is diabetic.

  When the disease is diabetes, the score calculation unit 123 performs, for example, a calculation related to the energy amount and a calculation related to the nutritional balance. First, calculation related to the amount of energy will be described. The score calculation unit 123 calculates the score of the energy amount of the menu received from the user terminal 200 by the diet therapy support apparatus 100 based on the disease rule 135 with an arbitrary energy amount as one point. For example, when the energy amount of a certain menu is 800 kcal, the score calculation unit 123 calculates the score as 10 points.

  Next, calculation related to nutritional balance will be described. In order to perform a calculation related to nutritional balance, the score calculation unit 123 may first create a score calculation rule. The score calculation unit 123 can create a score calculation rule based on an arbitrary rule stored in the disease rule 135. FIG. 8 is a diagram schematically illustrating an example of a score calculation rule created by the score calculation unit 123. In the example shown in FIG. 8, the score calculation unit 123 classifies each food of the food component Linked Data 134 shown in FIG. 8 into six groups of food groups based mainly on the nutrients contained therein. And the score calculation part 123 calculates a score about each division similarly to the calculation which concerns on energy amount. For example, if the menu includes 80 kcal of the fruit of the second category, the score calculation unit 123 calculates the score of the second category as one point.

  Further, the score calculation unit 123 refers to the disease rule 135 to determine whether or not the calculated score is included in a range suitable as a diet for the user's disease. For example, in the case of a diabetic patient, the disease rule 135 stores an algorithm for calculating an appropriate daily energy intake based on the height, weight and physical activity of the diabetic patient. Based on this algorithm, the score calculation unit 123 calculates an appropriate daily intake energy amount of a diabetic patient who is a user. Next, the score calculation unit 123 calculates the score of the amount of energy that the diabetic patient should take per day. For example, suppose that energy 80 kcal is one point, and the amount of energy that a diabetic patient should take per day is 1600 kcal. In this case, the score calculation unit 123 calculates that the amount of energy that the diabetic patient should take per day is 20 points. And the score calculation part 123 judges whether the score of the menu which the diet therapy assistance apparatus 100 received from the user terminal 200 is contained in the range suitable as a diet therapy of diabetes. For example, if the amount of energy to be consumed per day is 20 points, if the meal is divided into breakfast, lunch and dinner, the amount of energy per meal is 6 to 7 points. It becomes. On the other hand, since the menu of the above-mentioned 800 kcal energy amount is 10 points, this menu exceeds the score within the range suitable as a diet for diabetes. Therefore, the score calculation unit 123 determines that this menu is not included in a range suitable as a diet for diabetes. The score calculation unit 123 can make the same determination for each category of the score calculation rule shown in FIG. That is, the score calculation unit 123 calculates a score included in the menu for each of the first to sixth categories, and the menu is within a range suitable for a diet for diabetes in light of the disease rule 135. Judge whether there is.

  As described above, although the score calculation unit 123 has been described by taking diabetes as an example, the score calculation unit 123 similarly performs score calculation for other diseases, and the menu is within a range suitable as a diet for the user's disease. It can be determined whether or not. For example, when the disease is allergy, the disease rule 135 stores a rule that a specific food cannot be taken. Then, as a result of performing the score calculation for each food item on the menu with the score calculation unit 123, if the score of the specific food is not 0, the score calculation unit 123 refers to the disease rule 135 so that the menu is allergic. It can be determined that it is not within the range suitable for dietary therapy.

  The storage unit 130 includes a ROM (Read Only Memory) and a RAM (Random Access Memory), and stores data necessary when the recipe determination unit 110 and the calculation unit 120 operate. In addition, the storage unit 130 stores the recipe Linked Data 131, the unit conversion table 132, the ingredient / component correspondence table 133, the food component Linked Data 134, and the disease rule 135 described above.

  In addition, the diet therapy assistance apparatus 100 can also be comprised by the some apparatus connected so that communication is mutually possible. For example, the recipe determination unit 110, the calculation unit 120, and the storage unit 130 may be included in different devices. In addition, the unit conversion unit 121, the nutrition calculation unit 122, and the score calculation unit 123 may be appropriately divided, and any one of the divided elements or a combination of two or more may be included in one device.

  Next, an example of a series of operations performed by the diet support apparatus according to the present invention will be described with reference to FIG. First, when the user transmits information related to the menu and information related to the user's disease using the user terminal 200 to the diet therapy support device 100, the diet therapy support device 100 receives the information related to the menu and the user's disease from the user terminal 200. The information concerning is received (step S901). In the diet therapy support apparatus 100, the recipe determining unit 110 refers to the recipe Linked Data 131 and determines the recipe of the received menu (step S902). Next, the unit conversion unit 121 refers to the unit conversion table 132 and converts the amount of the material used in the determined recipe into gram units (step S903). Then, the nutrition calculating unit 122 refers to the material / component correspondence table 133 to determine the correspondence between the material used in the recipe and the food name described in the food component Linked Data 134 (step S904). Thereafter, the nutrition calculation unit 122 calculates the intake of each food with reference to the food disposal rate in the food component Linked Data 134 (step S905). Then, the nutrition calculation unit 122 refers to the food component Linked Data 134 and calculates the energy amount of each food and the content of each nutrient included in the menu (step S906). Next, in the diet therapy support apparatus 101, the score calculation unit 123 refers to the disease rule based on the user's disease and scores information related to nutrients (step S907). Furthermore, the score calculation unit 123 can refer to the disease rule to determine whether the numerical value of the scored information is within a range suitable as a diet therapy for the user's disease (step S908). Then, the diet therapy support apparatus transmits the information calculated in each of the above steps (information related to diet therapy support) to the user terminal 200 (step S909). The user can confirm whether or not the menu transmitted from the user terminal 200 is suitable as a diet therapy for the user's disease by browsing the information related to diet therapy support received by the user terminal 200.

  Here, information related to diet therapy support transmitted from the diet therapy support apparatus 100 to the user terminal 200 will be described. The information related to diet therapy support includes information related to nutrients and information related to diet therapy for a user's disease. The information related to nutrients is information of each nutrient (for example, energy amount, protein, carbohydrate, vitamin amount, etc.) included in the menu calculated by the nutrient calculation unit 122. The information related to the diet for the user's illness is information indicating whether the menu is appropriate as a diet for the user's illness. Whether the information related to the diet for the user's illness is information obtained by scoring information on the nutrient based on the user's illness or whether the numerical value of the scored information is within a range suitable as a diet for the user's illness The information concerning may be included. The information obtained by scoring information related to nutrients is a scored numerical value calculated by the score calculation unit 123 with reference to the disease rule 135 based on a predetermined rule. In addition, the information regarding whether or not the numerical value of the scored information is within a range suitable as a diet for a user's disease is whether the scored numerical value is within a predetermined range stored in the disease rule 135 It is information relating to the result of the determination by the score calculation unit 123 regarding whether or not.

  As described above, according to the present embodiment, the diet therapy support apparatus 100 calculates the recipe based on the recipe and the recipe determination unit 110 that determines the recipe of the menu based on the information related to the menu received from the user terminal 200. A calculating unit 120 that transmits information related to nutrients in the menu and information related to a diet for a user's disease to the user terminal 200. That is, the user can confirm whether or not the menu received from the diet support device 100 by the user terminal 200 is appropriate as a diet therapy for the user's disease by inputting the menu from the user terminal 200. it can. Therefore, the diet therapy support apparatus 100 can provide information related to a diet therapy useful for a sick patient. Further, by transmitting the score calculated by the diet therapy support apparatus 100 to the user terminal 200 as information related to diet therapy support, the user does not need to confirm the numerical value of each nutrient itself. Therefore, the user does not need to memorize or investigate the values of individual nutrients related to the diet therapy, and can confirm whether the menu is suitable as a diet therapy more easily and sensuously. In addition, by transmitting information related to whether or not the score is included in a range suitable as a diet therapy for the user's disease from the diet support apparatus 100, the user can make the menu suitable as a diet therapy. It is possible to recognize without making a decision about whether or not

  Although the above embodiments have been described as representative examples, it will be apparent to those skilled in the art that many changes and substitutions can be made within the spirit and scope of the invention. Therefore, the present invention should not be construed as being limited by the above-described embodiments, and various modifications and changes can be made without departing from the scope of the claims.

  For example, the functions included in each component, each step, etc. can be rearranged so that there is no logical contradiction, and multiple components, steps, etc. can be combined or divided into one It is.

100 Diet therapy support device 110 Recipe determination unit 120 Calculation unit 121 Unit conversion unit 122 Nutrition calculation unit 123 Score calculation unit 130 Storage unit 131 Recipe Linked Data
132 Unit conversion table 133 Ingredient / component correspondence table 134 Food component Linked Data
135 disease rule 200 user terminal 300 network

Claims (6)

A recipe determination unit that determines a recipe of the menu based on information related to the menu received from the user terminal;
A diet therapy support apparatus comprising: a calculation unit that transmits information related to nutrients in the menu calculated based on the recipe and information related to a diet for a user's disease to the user terminal.   The diet support device according to claim 1, wherein the information related to the diet includes information obtained by scoring information related to the nutrient based on the disease of the user.   The diet therapy support apparatus according to claim 2, wherein the information related to the diet therapy includes information related to whether or not the numerical value of the scored information is within a range suitable as a diet therapy for the disease of the user. A diet support method in a diet support device,
A determination step for determining a recipe for the menu based on information relating to the menu received from the user terminal;
A diet therapy support method comprising: a step of transmitting to the user terminal information related to the nutrients in the menu calculated based on the recipe and information related to a diet for a user's disease.   The diet support method according to claim 4, wherein the information related to the diet includes information obtained by scoring information related to the nutrient based on the disease of the user.   6. The diet therapy support method according to claim 5, wherein the information related to the diet includes information related to whether or not the numerical value of the scored information is within a range suitable as a diet for the user's disease.

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