Method for providing and recommending health functional food information and apparatus performing same

Abstract

The present invention relates to a method for providing and recommending health functional food information and an apparatus performing same. The method for providing and recommending health functional food information may comprise the steps in which: a pharmaceutical information collection and processing unit of a digital healthcare device collects and standardizes pharmaceutical information; a health functional food information collection and processing unit of the digital healthcare device collects and standardizes health functional food information; a user information input unit of the digital healthcare device receives user information; and a health functional food recommendation unit of the digital healthcare device recommends a health functional food on the basis of the user information, the pharmaceutical information, and the health functional food information.

Description

Method for providing and recommending information on health functional foods and a device for performing such methods

[0001] The present invention relates to a method for providing and recommending information on health functional foods and an apparatus for performing such a method. More specifically, the invention relates to a method for providing and recommending information on health functional foods to a user and an apparatus for performing such a method, for providing information on health functional foods to a user and recommending health functional foods to the user based on user information.

[0002] The digital healthcare industry is growing rapidly due to the development of Fourth Industrial Revolution technologies, such as non-face-to-face technology, artificial intelligence, and big data, as well as increasing interest in personal health. The digital (smart) healthcare industry is a convergence of medical care and ICT (information and communication technology). It provides intelligent services based on medical data to monitor and manage individual patients' health conditions in real time, and enables optimized, customized medical services by analyzing health information and disease states; it is also referred to as the 'smart healthcare industry.'

[0003] The paradigm of the medical industry is changing as medical institutions evolve from traditional treatment-centered medical services to 4P (Personalized, Predictive, Preventive, Participatory)-driven healthcare services, which incorporate IT, BT, and NT technologies for the purpose of not only patient diagnosis but also disease prevention and management.

[0004] The ICT-based digital healthcare industry of the Fourth Industrial Revolution is evolving into services such as the management of diseases, health, and dietary habits for patients and the general public using medical IT devices and service apps, as the methods of accessing and securing medical data are changing due to the convergence of medicine and ICT.

[0005] Based on this, personalized treatment services and digital healthcare services, such as precision medicine, telemedicine, and monitoring services that can manage the entire life cycle, are expected to expand.

[0006] With current data alone, which lacks information on patients' actual drug use, it is possible to prevent unnecessary increases in medical costs caused by inappropriate drug use. A representative factor contributing to these unnecessary increases in medical costs is drug side effects. Since the domestic drug side effect reporting system was established, the number of drug side effect cases in Korea has increased rapidly and ranks 2nd to 4th among countries.

[0007] As this can place a significant burden on society as a whole, a strategic approach to innovatively reduce it is required, and the development of systems for managing related drug safety is urgently needed. The emergence of digital healthcare based on pharmacy and pharmaceutical information—encompassing the reduction of drug misuse and abuse, medication guidance for chronic disease patients, and chronic disease prediction—is expected to contribute to the advancement of national health management and the efficiency of health insurance finances across various fields.

[0008] Modern users encounter various health functional foods through advertisements and take them based on short-term effects. However, health functional foods can cause side effects depending on the individual. Therefore, research is needed on methods to recommend health functional foods in a personalized manner to users by providing information and recommendations based on user data.

[0009] The present invention aims to solve all of the aforementioned problems.

[0010] In addition, the present invention aims to provide health functional food information necessary for a user based on user information (user age, gender, medication information, etc.) and to recommend health functional food information necessary for the user.

[0011] In addition, the present invention aims to predict potential side effects for a user based on data regarding health function information and pharmaceuticals, and to recommend health functional food information necessary for the user by linking with health checkup data and genomic data.

[0012] A representative configuration of the present invention for achieving the above objective is as follows.

[0013] According to one embodiment of the present invention, a method for providing and recommending health functional food information may include the step of a drug information collection and processing unit of a digital healthcare device collecting and standardizing drug information; the step of a health functional food information collection and processing unit of the digital healthcare device collecting and standardizing health functional food information; the step of a user information input unit of the digital healthcare device receiving user information; and the step of a health functional food recommendation unit of the digital healthcare device recommending a health functional food based on the user information, the drug information, and the health functional food information.

[0014] Meanwhile, the above-mentioned pharmaceutical information and health functional food information may be standardized based on global codes and standardized databases.

[0015] In addition, the above-mentioned health functional food recommendation unit can extract user keywords corresponding to the user based on user analysis result information included in the above-mentioned user information, and recommend the above-mentioned health functional food based on the above-mentioned user keywords.

[0016] According to another embodiment of the present invention, a digital healthcare device for providing and recommending health functional food information may include a pharmaceutical information collection and processing unit implemented to collect and standardize pharmaceutical information, a health functional food information collection and processing unit implemented to collect and standardize health functional food information, a user information input unit implemented to receive user information, and a health functional food recommendation unit implemented to recommend health functional foods based on the user information, the pharmaceutical information, and the health functional food information.

[0017] Meanwhile, the above-mentioned pharmaceutical information and health functional food information may be standardized based on global codes and standardized databases.

[0018] In addition, the above-mentioned health functional food recommendation unit can extract user keywords corresponding to the user based on user analysis result information included in the above-mentioned user information, and recommend the above-mentioned health functional food based on the above-mentioned user keywords.

[0019] According to the present invention, information on health functional foods needed by a user is provided based on user information (user age, gender, medication information, etc.), and health functional foods needed by the user can be recommended.

[0020] In addition, according to the present invention, side effects that may occur to a user are predicted based on data regarding health function information and pharmaceuticals, and health functional food information necessary for the user can be recommended in conjunction with health checkup data and genomic data.

[0021] FIG. 1 is a conceptual diagram showing a digital healthcare device according to an embodiment of the present invention.

[0022] FIG. 2 is a conceptual diagram showing the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0023] FIG. 3 is a conceptual diagram showing health functional food information provided by a health functional food information providing unit according to an embodiment of the present invention.

[0024] FIG. 4 is a conceptual diagram showing the operation of a drug management unit that performs personalized drug management according to an embodiment of the present invention.

[0025] FIG. 5 is a conceptual diagram illustrating a method for collecting and processing pharmaceutical / health functional food information according to an embodiment of the present invention.

[0026] FIG. 6 is a conceptual diagram illustrating a method for collecting and processing pharmaceutical / health functional food information according to an embodiment of the present invention.

[0027] FIG. 7 is a conceptual diagram showing the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0028] FIGS. 8 and 9 are conceptual diagrams illustrating the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0029] FIG. 10 is a conceptual diagram illustrating a method for identifying the components of a health functional food according to an embodiment of the present invention and creating a database of the components of a health functional food.

[0030] FIG. 11 is a conceptual diagram showing the operation of an interaction check unit according to an embodiment of the present invention.

[0031] FIG. 12 is a conceptual diagram showing the operation of performing duplicate drug checks according to an embodiment of the present invention.

[0032] The following detailed description of the invention refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that various embodiments of the invention are different but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be modified from one embodiment to another without departing from the spirit and scope of the invention. It should also be understood that the location or arrangement of individual components within each embodiment may be modified without departing from the spirit and scope of the invention. Accordingly, the following detailed description is not meant to be limiting, and the scope of the invention should be understood to encompass the scope claimed by the claims and all equivalents thereof. Similar reference numerals in the drawings indicate identical or similar components across various aspects.

[0033] Hereinafter, in order to enable a person skilled in the art to easily practice the present invention, various preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0034]

[0035] FIG. 1 is a conceptual diagram showing a digital healthcare device according to an embodiment of the present invention.

[0036] Figure 1 discloses a digital healthcare device for processing pharmaceutical information and health functional food information and providing customized health functional foods to a user.

[0037] Referring to FIG. 1, the digital healthcare device may include a drug information collection and processing unit (100), a health functional food information collection and processing unit (110), a user information input unit (120), a health functional food information provision unit (130), a health functional food recommendation unit (140), a drug management unit (150), and a processor (160).

[0038] The drug information collection and processing unit (100) may be implemented to collect and process drug information. The drug information may include information regarding the ingredients, effects, side effects, etc. of standardized drugs. The drug information collection and processing unit (100) may collect drug information and manage the ingredients, effects, side effects, etc. of drugs as standardized information through processing that standardizes the collected drug information.

[0039] The health functional food information collection and processing unit (110) may be implemented to collect and process health functional food information. The health functional food information may include information regarding the ingredients, effects, side effects, etc. of standardized health functional foods. The health functional food information collection and processing unit (110) may collect health functional food information and manage the ingredients, effects, side effects, etc. of health functional foods as standardized information through processing that standardizes the collected health functional food information.

[0040] The user information input unit (120) can be implemented to receive user information. The user information may include various information necessary to provide and recommend health functional food information to the user. The user information may include information about the user's gender, age, etc., user medication information, user health functional food intake information, user health checkup information, user genetic information, etc.

[0041] The health functional food information provision unit (130) can be implemented to provide health functional food information to the user based on user information, pharmaceutical information, and health functional food information.

[0042] The health functional food recommendation unit (140) can be implemented to recommend health functional foods to the user based on user information, pharmaceutical information, and health functional food information.

[0043] The drug management unit (150) may be implemented to provide information and perform management regarding the medicine and / or health functional food currently being consumed by the user. The drug management unit (150) may provide information regarding the efficacy, dosage, and side effects of the medicine and / or health functional food currently being consumed by the user, and may recommend health functional food by linking with the health functional food recommendation unit (140) in consideration of the medicine and / or health functional food currently being consumed.

[0044] A processor (160) can be implemented to control the operation of a drug information collection and processing unit (100), a health functional food information collection and processing unit (110), a user information input unit (120), a health functional food information provision unit (130), a health functional food recommendation unit (140), and a drug management unit (150).

[0045]

[0046] FIG. 2 is a conceptual diagram showing the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0047] In FIG. 2, an operation to recommend a health functional food for a user is initiated in the health functional food recommendation unit.

[0048] Referring to FIG. 2, the health functional food recommendation unit may include an interaction check unit (200), a duplicate drug check unit (210), a side effect and allergy check unit (220), a contraindication and caution drug check unit (230), a dosage check unit (240), and a health functional food recommendation unit (250).

[0049] The interaction check unit (200) may be implemented to check for interactions between pharmaceuticals and / or health functional foods. The interaction check unit (200) may be implemented to check for interactions based on standardized pharmaceutical information and health functional food information. For example, the interaction check unit (200) may determine whether an interaction occurs between active ingredients based on the active ingredients of the pharmaceuticals and the active ingredients of the health functional foods.

[0050] The duplicate drug check unit (210) may be implemented to check for duplication between pharmaceuticals and / or health functional foods. The duplicate drug check unit (210) may be implemented to determine duplicate ingredients based on standardized pharmaceutical information and health functional food information. For example, the duplicate drug check unit (210) may make a determination on whether duplication occurs between active ingredients based on the active ingredients of the pharmaceuticals and the active ingredients of the health functional foods.

[0051] The side effect and allergy check unit (220) may be implemented to perform a check for side effects and allergies that may occur when taking pharmaceuticals and / or health functional foods. The side effect and allergy check unit (220) may perform a check for side effects and allergies that may occur through an interaction check and a duplicate drug check for pharmaceuticals and / or health functional foods. The side effect and allergy check unit (220) may additionally perform a check for side effects and allergies by considering user information.

[0052] The contraindication and caution drug check unit (230) may be implemented to perform checks on contraindication and caution drugs. The contraindication and caution drug check unit (230) may be implemented to check contraindicated drugs / health functional foods and drugs / health functional foods that require caution based on user information, taking into account user information.

[0053] The dosage check unit (240) may be implemented to check for ingestion of an overdose of a specific active ingredient that may occur when taking a medicine and / or health functional food. The dosage check unit (240) may check for ingestion of an overdose based on the intake information (intake amount, intake time, etc.) of the medicine and / or health functional food.

[0054] The health functional food recommendation unit (250) can be implemented to recommend health functional foods based on user information. User information may include information about the user's gender, age, etc., user medication information, user health functional food intake information, user health checkup information, user genetic information, etc.

[0055]

[0056] FIG. 3 is a conceptual diagram showing health functional food information provided by a health functional food information providing unit according to an embodiment of the present invention.

[0057] In Fig. 3, health functional food information provided by the health functional food information provision unit is disclosed.

[0058] Referring to FIG. 3, the health functional food information collection and processing unit can collect and standardize health functional food product data, health functional food raw material information data, health functional food drug interaction data, and health functional food related literature data.

[0059] The health functional food information provision unit can provide health functional food information collected and processed by the health functional food information collection and processing unit.

[0060] Health functional food information may include health functional food name information, health functional food functional classification information, health functional food functional information, health functional food physical characteristics information, health functional food intake information, health functional food raw material name information, and health functional food ingredient content information.

[0061] The health functional food information provider may provide information on health functional foods that the user is consuming or intends to consume as described above.

[0062]

[0063] FIG. 4 is a conceptual diagram showing the operation of a drug management unit that performs personalized drug management according to an embodiment of the present invention.

[0064] In Fig. 4, information provided by the drug management department is disclosed.

[0065] Referring to FIG. 4, the drug management unit may be implemented to provide information and perform management regarding the medicines and / or health functional foods currently being consumed by the user. The drug management unit provides information on the efficacy, dosage, and side effects of the medicines and / or health functional foods being consumed by the user, and can recommend health functional foods by linking with the health functional food recommendation unit, taking into account the medicines and / or health functional foods currently being taken.

[0066] The drug management department can utilize pictograms to provide user-friendly images and convey the efficacy of the medicines and / or health functional foods being consumed to the user.

[0067] In addition, the drug management department may utilize graphics to provide information on the dosage of medicines and / or health functional foods being consumed by the user. Information on dosages based on the general public, pregnant women, drug muggers, etc., may be provided.

[0068] In addition, the drug management department can provide information on side effects that may occur from excessive intake of specific ingredients.

[0069] In addition, the Drug Management Department may provide information on recommended health functional foods in consideration of the medicines and / or health functional foods currently being taken.

[0070]

[0071] FIG. 5 is a conceptual diagram illustrating a method for collecting and processing pharmaceutical / health functional food information according to an embodiment of the present invention.

[0072] Figure 5 discloses a data structure diagram for processing and standardizing information on pharmaceuticals / health functional foods.

[0073] Referring to Fig. 5, information on pharmaceuticals and health functional foods by country can be collected through the country-specific drug library (500).

[0074] As information on pharmaceuticals and health functional foods by country, not only product names and ingredient names, but also country-specific approval details, drug prices and codes, public notices / review guidelines, identification / packaging images, distribution data such as distributors, and patent data can be entered.

[0075] These country-specific drug information and health functional food information can be standardized based on global codes (505) and standardization databases (510, 520, 530). The standardization databases (510, 520, 530) may include a drug ingredient name database (510), a side effect term database (520), and a disease name term database (530). The standardization databases (510, 520, 530) can perform standardization of drug ingredient names, side effect terms, and disease name terms by considering global code information.

[0076] The drug ingredient name database (510) may include a drug ingredient name database for single-ingredient products and a drug ingredient name database for combination products. The drug ingredient name database (510) is a database for processing standardized drug ingredient names for single-ingredient products and combination products.

[0077] The side effect term database (520) can be implemented to standardize side effects related to pharmaceuticals and health functional foods. The side effect term database (520) may include a representative term database and a natural language database, and can standardize side effects for pharmaceuticals and health functional foods based on the representative term database and the natural language database.

[0078] A disease name term database (530) can be implemented to standardize disease names related to pharmaceuticals and health functional foods. The disease name term database (530) may include a representative term database and a natural language database, and can standardize disease names related to pharmaceuticals and health functional foods based on the representative term database and the natural language database.

[0079] Drug management and health functional food recommendations can be performed based on these standardized databases (510, 520, 530). As ingredient information data, interaction data, medication guidance data pictograms, efficacy and effect data, contraindication data (pregnant women, age, etc.), dosage data by patient characteristics, allergy warning data, etc. can be generated.

[0080] In addition, ADR data, which is drug side effect data, is managed separately and can be utilized for drug management and health functional food recommendations.

[0081]

[0082] FIG. 6 is a conceptual diagram illustrating a method for collecting and processing pharmaceutical / health functional food information according to an embodiment of the present invention.

[0083] In Fig. 6, a process for processing and standardizing information on pharmaceuticals / health functional foods is initiated.

[0084] Referring to Figure 6, this is a data structure that standardizes and codes the names of drug ingredients, drug efficacy / effects, side effects, etc., based on country-specific drug name codes and a standardized database.

[0085] Through such standardization, pharmaceuticals and health functional foods from each country can be connected and expanded, and the efficacy of each ingredient can be distinguished.

[0086]

[0087] FIG. 7 is a conceptual diagram showing the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0088] In Fig. 7, a screen provided by a health functional food recommendation unit that recommends health functional foods for the user is disclosed.

[0089] Referring to FIG. 7, user information may include information on user gender, user age, user lifestyle, user mood state, user underlying disease, medications the user takes, and nutritional supplements the user takes.

[0090] The health functional food recommendation section can recommend nutrients needed by the user based on user information and provide nutrient information.

[0091] The health functional food recommendation section can recommend products needed by the user and provide product information based on user information.

[0092]

[0093] FIGS. 8 and 9 are conceptual diagrams illustrating the operation of a health functional food recommendation unit according to an embodiment of the present invention.

[0094] In FIGS. 8 and 9, a logic for recommending nutrients based on the user's disease check, health checkup data, genomic data, etc. is disclosed in the health functional food recommendation unit.

[0095] Referring to Fig. 8, the user analysis results may include brain function aging degree, brain function anxiety degree, acute stress index, chronic stress index, heart disease risk, autonomic nervous system balance degree, autonomic nervous system aging degree, peripheral vascular aging degree, etc.

[0096] Recommended nutrients corresponding to these user analysis results and keywords linked to the recommended nutrients can be matched.

[0097] For example, recommended nutrients related to the degree of brain function aging may include functional nutrients for maintaining brain nerve health and enhancing cognitive function, functional nutrients that serve as raw materials for energy production in the body, and functional nutrients for blood health that nourish the brain nerves.

[0098] The keyword related to functional nutrients for maintaining brain nerve health and enhancing cognitive function is brain health, the keyword related to functional nutrients that serve as raw materials for energy production in the body is body nutrition and metabolism, and the keyword related to blood health functional nutrients that nourish the brain nerves may be blood health.

[0099] Based on the user analysis results, user keywords corresponding to the user analysis results are determined, and health functional foods can be recommended based on the determined user keywords.

[0100] Referring to Fig. 9, the degree of brain function aging is classified into good / borderline / risk based on the scale score, and after determining good, borderline, or risk, a user keyword corresponding to the user can be determined by considering age, exercise status, and current diseases. After determining the user keyword, a health functional food corresponding to the user keyword can be determined.

[0101]

[0102] FIG. 10 is a conceptual diagram illustrating a method for identifying the components of a health functional food according to an embodiment of the present invention and creating a database of the components of a health functional food.

[0103] FIG. 10 discloses a method for assigning an identifier to a health functional food ingredient.

[0104] Referring to FIG. 10, an identifier can be assigned to each of the various ingredients of a health functional food by considering ingredient information. The ingredient information may include various information about the various ingredients, such as functional information, raw material information, physiological function information, and appropriate dosage information.

[0105] An identifier for a component is generated by considering information regarding each component data. For example, assuming that an identifier is generated based on functional information, raw material information, physiological function information, and appropriate dosage information, a first vector (functional information) corresponding to the functional information of the component, a second vector (raw material information) corresponding to the raw material information of the component, a third vector (physiological function information) corresponding to the physiological function information of the component, and a fourth vector (appropriate dosage information) corresponding to the appropriate dosage information of the component are defined, and a component identifier (1020) can be generated based on a component vector (1000) based on the first vector (functional information), the second vector (raw material information), the third vector (physiological function information), and the fourth vector (appropriate dosage information). A vector including such a first vector (functional information), a second vector (raw material information), a third vector (physiological function information), and a fourth vector (appropriate dosage information) is a component vector (1000), and a component identifier (1020) can be determined based on the component vector (1000).

[0106] If there is no identical ingredient vector (1000), an ingredient identifier (1020) is generated based only on the ingredient vector (1000). Conversely, if there is an identical ingredient vector (1000) for an existing ingredient of another health functional food, an ingredient distinction identifier is added as an additional vector to determine the ingredient vector (1000), and an ingredient identifier (1020) can be generated based on the ingredient vector (1000).

[0107] In addition, the sub-vectors constituting the component vector (the aforementioned first vector, second vector, third vector, fourth vector, etc.) can be determined based on the similarity of information. For example, assuming a first vector (functional information) corresponding to the functional information of a component, the more similar the functionality, the more similar the first vector can be set. For example, the higher the relative similarity between Function A and Function B, the more similar the first vector value (functional information) corresponding to Function A and the first vector value (functional information) corresponding to Function B may be.

[0108] In addition, the stronger the functionality, the larger the value may be set to have within the corresponding sub-vector. If the range of the first vector value (functional information) for Function A is a to b, the stronger the functionality, the larger the value may be set to have within the range of the first vector value (functional information) for Function A.

[0109] A health functional food may include multiple ingredients, and multiple ingredient identifiers (1020) for each of the multiple ingredients may correspond to a health functional food identifier (1070). That is, the health functional food identifier (1070) may correspond to multiple ingredient identifiers (1020) for each of the multiple ingredients constituting the health functional food.

[0110] In other words, a single health functional food may contain multiple ingredients, and each of the multiple ingredients may have a plurality of ingredient vectors (1000). A health functional food vector (1050) may be defined that includes a plurality of ingredient vectors (1000) corresponding to each of the multiple ingredients included in the health functional food. That is, a single health functional food corresponds to a single health functional food vector (1050), and a single health functional food vector (1050) may include a plurality of ingredient vectors (1000).

[0111] In an embodiment of the present invention, instead of the entire composition of the health functional food, a specific component is determined as the target component to determine the component vector (1000), component identifier (1020), health functional food vector (1050), and health functional food identifier (1070).

[0112] More specifically, in order to check for interactions between a health functional food and other health functional foods or other pharmaceuticals, and to determine overlapping drugs, side effects, and allergies, target ingredients among the health functional food components can be determined for evaluation.

[0113] The target ingredients of a health functional food can be determined by first considering the functionality of the ingredients included in the health functional food.

[0114] The functionality of an ingredient can be determined based on its health effects. For example, consider a scenario where Ingredient A, Ingredient B, and Ingredient C are included in a health functional food. Ingredient C may be an ingredient intended to enhance flavor rather than a health-functional ingredient. In this case, Ingredients A and B, excluding Ingredient C, can be selected as candidate target ingredients.

[0115] Next, among the candidate target ingredients, those judged to have minimal health effects based on their dosage, those judged not to interact with other ingredients, and those judged not to cause side effects or allergies may be further filtered out and ultimately selected as the target ingredients.

[0116] For example, if it is determined that among candidate target ingredients (Ingredients A, B, and C), the dosage of Ingredient C falls below the critical dosage, and thus no effective health effects or effective interactions with other ingredients will occur, Ingredient C may be excluded from the candidate target ingredients, and Ingredients A and B may be determined as the target ingredients. The size of this critical dosage may be set differently for each ingredient of the health functional food.

[0117] Alternatively, according to an embodiment of the present invention, the target component may be adaptively set by considering the sensitivity to interaction checks and judgments regarding duplicate drugs, side effects, and allergies.

[0118] If the sensitivity for checking drug interactions and judging overlapping drugs, side effects, and allergies is set relatively high, the threshold component dose for determining the target component may be set relatively low. If the sensitivity for checking drug interactions and judging overlapping drugs, side effects, and allergies is set relatively low, the threshold component dose may be set relatively high.

[0119] In other words, depending on the sensitivity setting, different ingredients in health functional foods are determined as target ingredients, and interaction checks, duplicate drug checks, and side effect and allergy checks of the health functional food can be performed based on the target ingredients.

[0120]

[0121] FIG. 11 is a conceptual diagram showing the operation of an interaction check unit according to an embodiment of the present invention.

[0122] In FIG. 11, the operation of an interaction check unit based on a component vector constituting a health functional food is disclosed.

[0123] Referring to FIG. 11, for interaction checking, an interaction check map (1100) based on component vectors can be defined.

[0124] The interaction check map (1100) may be a map for checking the interaction between component vectors included in the health functional food vector of the health functional food.

[0125] Information regarding interactions between component vectors may be included in the interaction check map (1100). The interaction check map (1100) is generated by component or by component group, and can perform checks on interactions between one component and another component, and checks on interactions between one component group and another component group.

[0126] The area on the interaction check map (1100) of a specific component is divided into sub-map areas considering the interaction with other components, and information about the interaction can be displayed on the divided sub-map areas based on numerical values.

[0127] The sub-maps can be classified into cases where functionality is enhanced upon interaction (first interaction type (1110)), cases where there is no interaction (second interaction type (1120)), cases where functionality is reduced upon interaction (third interaction type (1130)), and cases where side effects occur upon interaction (fourth interaction type (1140)).

[0128] If the submap is of the first interaction type (1110), the degree of improvement in function can be indicated by a mapping value greater than 1. For example, if an interaction check map of component A is assumed, a component vector area corresponding to a component that improves function when acting together with component A can be set as the submap (1110) of the first interaction type.

[0129] If the submap is of the second interaction type (1120), the mapping value of '1' may indicate that no interaction occurs. For example, if an interaction check map of component A is assumed, the component vector area corresponding to the component that does not interact with component A when acting together with component A may be set as the submap of the second interaction type (1120).

[0130] If the submap is a third interaction type (1130), it may indicate that the interaction occurs in a direction in which the functionality of the component decreases with a mapping value greater than 0 and less than 1. For example, if an interaction check map of component A is assumed, a component vector area corresponding to a component that interacts with component A when acting together with component A and has a negative effect on the function of component A may be set as a submap of the third interaction type (1130).

[0131] If the submap is of the fourth interaction type (1140), it may indicate that an interaction occurs in a negative direction with a mapping value less than '0'. For example, if an interaction check map of component A is assumed, when acting together with component A, if a side effect occurs due to interaction with component A, the component vector area corresponding to the component indicating the side effect through a negative value may be set as the submap of the fourth interaction type (1140).

[0132] In this way, an interaction check map can be formed for each component.

[0133] First, after an interaction check map is created at the component level, the component-level interaction check maps can be combined to generate a component group-level interaction check map.

[0134] For example, a first component and a second component with similar component vectors may be located adjacently on a component vector map. If the first interaction check map of the first component and the second interaction check map of the second component are identical or similar, the first component and the second component may be grouped into a component group, and the first interaction check map and the second interaction check map may be combined and used as the interaction check map of the component group.

[0135] Whether the first interaction check map and the second interaction check map of the second component are identical or similar can be determined based on whether the sub-maps corresponding to the first interaction type, the second interaction type, the third interaction type, and the fourth interaction type are identical, and the similarity of the mapping values ​​of each sub-map.

[0136] For the first interaction type, the similarity of the mapping values ​​can be judged by setting a relatively wide range for similarity judgment, but for the third and fourth interaction types that reduce functionality or cause side effects, the similarity judgment range can be judged by setting a relatively narrow range.

[0137] A health functional food may have multiple interaction check maps corresponding to multiple ingredients and / or groups of multiple ingredients, and a health functional food interaction check map may exist as a concept encompassing these multiple interaction check maps. Through the health functional food interaction check map, interactions between a specific health functional food and other health functional foods or pharmaceuticals can be determined.

[0138]

[0139] FIG. 12 is a conceptual diagram showing the operation of performing duplicate drug checks according to an embodiment of the present invention.

[0140] In FIG. 12, a duplicate drug check operation of the duplicate drug check unit based on a component vector constituting a health functional food is initiated.

[0141] Referring to Fig. 12, the duplicate drug check unit can check for duplicate drugs through a duplicate drug check map based on a component vector.

[0142] The duplicate drug check map can be determined by considering the user's medication intake times.

[0143] The duplicate drug check map may include information on the ingredient vectors contained in health functional foods, the amount of the ingredient corresponding to the ingredient vector, the time it takes for the ingredient to be eliminated from the body, the amount remaining in the body, and the critical amount harmful to the human body.

[0144] When a user takes pharmaceuticals and / or health functional foods, a duplicate drug check map is generated at the time of intake, and based on duplicate or overlapping duplicate drug check maps, it may be possible to determine whether a duplicate drug exceeding a critical amount harmful to the human body is taken at a specific time when a specific ingredient is consumed.

[0145] Based on this duplicate drug check map and information on essential medicines, information on the appropriate time interval for consuming health functional foods can be provided to each user.

[0146] The duplicate drug check map can basically be divided into a non-duplicate area where excessive amounts of the component vector do not cause problems, and a duplicate judgment area where excessive amounts cause problems.

[0147] A judgment regarding duplication may be performed only on the duplication judgment area. A separate judgment may be performed on the duplication judgment area depending on the degree of problem to the human body caused by the duplication. The duplication judgment area may be classified into a first duplication judgment area through an nth duplication judgment area depending on the degree of relatively large problem to the human body.

[0148] As one moves toward higher overlapping judgment areas, such as the first overlapping judgment area to the nth overlapping judgment area, the judgment regarding the appropriate time interval for consumption is performed more strictly, so the range of the appropriate time interval can be set relatively narrowly.

[0149]

[0150] The embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention or those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. Hardware devices may be modified into one or more software modules to perform processing according to the present invention, and vice versa.

[0151] Although the present invention has been described above with reference to specific details such as specific components, limited embodiments, and drawings, this is provided only to aid in a more comprehensive understanding of the invention, and the invention is not limited to the above embodiments, and a person skilled in the art to which the invention belongs can make various modifications and changes from this description.

[0152] Accordingly, the scope of the present invention should not be limited to the embodiments described above, and all scopes equivalent to or equivalently modified from the claims set forth below, as well as the claims set forth below, shall be considered to fall within the scope of the concept of the present invention.

Claims

1. The method for providing information and recommending health functional foods is, A step in which the drug information collection and processing unit of a digital healthcare device collects and standardizes drug information; A step in which the health functional food information collection and processing unit of the above-mentioned digital healthcare device collects and standardizes health functional food information; A step in which a user information input unit of the digital healthcare device receives user information; and A method characterized by including a step in which a health functional food recommendation unit of the digital healthcare device recommends a health functional food based on the user information, the drug information, and the health functional food information.

2. In Paragraph 1, A method characterized by the above-mentioned pharmaceutical information and above-mentioned health functional food information being standardized based on a global code and a standardized database.

3. In Paragraph 2, A method characterized by the above-described health functional food recommendation unit extracting user keywords corresponding to the user based on user analysis result information included in the above-described user information, and recommending the above-described health functional food based on the above-described user keywords.

4. A digital healthcare device that provides information and recommendations on health functional foods is, A drug information collection and processing unit implemented to collect and standardize drug information; A health functional food information collection and processing unit implemented to collect and standardize health functional food information; A user information input unit implemented to receive user information; and A digital healthcare device characterized by including a health functional food recommendation unit implemented to recommend a health functional food based on the above user information, the above drug information, and the above health functional food information.

5. In Paragraph 4, A digital healthcare device characterized by the above-mentioned pharmaceutical information and above-mentioned health functional food information being standardized based on a global code and a standardized database.

6. In Paragraph 5, A digital healthcare device characterized by the above-mentioned health functional food recommendation unit extracting user keywords corresponding to the user based on user analysis result information included in the above-mentioned user information, and recommending the above-mentioned health functional food based on the above-mentioned user keywords.

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