KR101572176B1 - System and method for managing healthcare application for smart device based on personal genetic data - Google Patents

Abstract

The present invention relates to a healthcare application management method and system for a genetic information-based smart appliance, which comprises a step of extracting a related element related to a user's personal gene analysis information from physical or environmental related element information directly related to a genetic variation ; An indirect element extraction step of extracting an indirect element for health management of an individual in association with the related element in the health management related information; And an app recommendation step of searching for an application applicable to the user's smart device based on the related element or indirect element and recommending the retrieved app to the user. According to the present invention, even if the user has already recognized the user's body, health, living environment, etc., and the user has not yet recognized the genetic information, Will be able to recommend apps that are beneficial to the user.

Description

TECHNICAL FIELD The present invention relates to a healthcare application management method and system for a personal genetic information-based smart device,

The present invention relates to a healthcare application management system and method for smart devices based on personal genetic information, and more particularly, to a healthcare application management system and method for personalized genetic information based smart devices that generate healthcare information for a user's healthcare based on genetic information of a user, A smart device application capable of providing services can be searched and recommended, and further, a method for automatically controlling the searched smart device application to the optimal situation based on the genetic information of the user is disclosed.

With the rapid development of digital technology, people are unconsciously using various devices in their daily lives. Furthermore, various devices are gradually evolving from devices providing only a single function to complex smart devices. In particular, smart devices such as smart phones, smart clocks, and smart glasses are being used extensively through the installation of various apps.

Although various apps for such smart devices are being released every day, the amount and type of apps to be released and their applications are so diverse that it is possible for users to find out which apps of a certain function have been released, It takes considerable time and attention.

Therefore, technologies for recommending various apps to users are emerging. As one of them, FIG. 1 (a) shows a prior art (Korean Patent Laid-open No. 10-2013-0112565) recommending an app according to popular popularity . In the related art, the application recommendation apparatus collects application download information of various users and usage information at the terminal (S10, S20), calculates an evaluation score for the application based on the collected download information and usage information (S30) And suggests a method for recommending an application list to the user based on the calculated evaluation score.

As another prior art (Korean Patent Laid-Open No. 10-2013-0113361), FIG. 1 (b) shows a method of analyzing a usage pattern of a user and recommending an application accordingly, (S50), generates a correlation table including items and contexts extractable from the usage pattern (S60), calculates the probability of an item that can be used by the user based on the correlation table (S70) To the user (S80).

In the prior art, in consideration of the popularity of the app, it is recommended to the user by recommending the app to the user or considering the usage pattern of the user. However, even if a good and popular app is not suitable for the user, It can be harmful.

In other words, for apps related to food, medicines, sports, and the like, when using a recommended app simply based on popular popularity without considering the user's own body or health status, or in a situation where the user himself / herself has an incorrect usage pattern If you use a recommended app based on this usage pattern, even though the app itself is a high-performance and popular app, it can cause serious problems that may not be appropriate for your body or health, There is a concern.

Therefore, it is necessary not only when the user is already aware of the user's body, health, living environment, etc., but also when the user has not yet recognized the user, it is necessary to first consider the user and recommend a useful app to the user.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems of the prior art, and it is an object of the present invention to provide an information processing apparatus, The main purpose is to suggest ways to recommend useful apps.

Especially, for apps related to food, medicines, sports, etc., users do not consider their own body or health condition, simply use recommended apps according to popular popularity, or when users have wrong usage pattern If you are using a recommended app for the same usage pattern, you want to address concerns that the app itself may be a poor or serious health or fitness issue for users who use it, even if it's a good and popular app.

Furthermore, based on the genetic information of the user, it is recommended to recommend an app that is optimal for the user in the body, health and living environment of the user, and to provide a method of controlling the function of the app so that the app can be used in a state suitable for the user do.

According to an aspect of the present invention, there is provided a method for managing healthcare apps for smart devices based on personal genetic information, the method comprising: extracting related elements related to user's personal gene analysis information from physical or environmental related element information directly related to genetic variation; Related element extraction step; An indirect element extraction step of extracting an indirect element for health management of an individual in association with the related element in the health management related information; And an app recommendation step of searching for an application applicable to the smart device of the user based on the related element or the indirect element, and recommending the retrieved app to the user.

Preferably, the related factor extracting step includes a step of extracting, from the gene association analysis data, gene analysis data in which the physical or environmental related element information directly related to the genetic variation is classified into genes, Extracting the related elements associated with the information, and extracting the indirect elements from the health-related information existing on the Internet by mining based on the related elements on the gene relevance analysis data, And an indirect element for health management of the individual can be extracted from the healthcare DB in association with the related element related to the user's personal gene analysis information.

Further, the gene relevance analysis data is matched with the degree of association, which is the degree of association with each of the related elements, with respect to the genetic variation, and the healthcare DB is associated with the degree of association, Extracting one or more related elements related to a user's personal gene analysis information from the gene relevance analysis data and the degree of association with the personal gene analysis information, and extracting the indirect element from the healthcare DB An indirect element associated with the related element, and a degree of association with the indirect element; and the application recommending step includes: an application searching step of searching for an application applicable to the user's smart device based on the related element or indirect element; A priority calculating step of calculating a priority of the retrieved application in consideration of the association and the degree of association; And a selective app recommendation step of recommending the searched user to the user based on the priority.

Preferably, the searching step searches for an app that includes the related element or the indirect element on the app information in the app information DB having the app information, and the priority calculating step may include a step of calculating, The related elements and the indirect elements can be extracted and the priority can be calculated in consideration of the association and the degree of association of the related elements and indirect elements included in the extracted application information.

Furthermore, the priority calculating step may calculate the degree of influence on the degree of association of the indirect element, taking into consideration the degree of association of the related element corresponding to the indirect element, with respect to the related element and the indirect element extracted from the retrieved app information The relevance degree of the related element to the relevant application is weighted and added to the influence of the corresponding application to calculate an index for the corresponding application and the priority of the application can be calculated in consideration of the index.

Further, the priority calculating step may calculate a priority by assigning weights to the app information in which appraisal agencies or experts have approval.

And an app function setting step of setting a function of the selected app based on the related element or the indirect element with respect to the app selected by the user.

The user's body change information is acquired from a smart device or a body detection sensor installed in the user's body or home and senses a change in the body of the user, And may further include an app function reset step to reset the app functionality.

Also, a health care application management system for a personal genetic information-based smart device is provided with a user's personal gene analysis information, and is provided with information related to a physical or environmental related factor directly related to a genetic variation of the personal gene analysis information, And an app management service server that extracts an indirect element for an individual's health management and searches for an application applicable to the smart device of the user in consideration of the related factors and indirect factors.

Gene related analysis data, in which physical or environmental related element information directly related to a genetic variation is classified by gene; A healthcare DB in which an indirect element for health management of an individual associated with the related element is stored based on related elements on the gene related analysis data on the Internet; And an app information DB having app information in cooperation with the app store.

Herein, the app management service server includes: a user genetic information analyzer for receiving user's individual gene analysis information and extracting related elements according to the individual gene analysis information from the gene relevance analysis data; A user health management analyzer for extracting an indirect element associated with a related element extracted by the user genetic information analysis unit in the healthcare DB; And an app manager for searching for an app including the related element and indirect element extracted from the app information DB.

More preferably, the gene relevance analysis data stores the degree of association, which is a degree of association with the genetic mutation, of each related element, and the healthcare DB is associated with the degree of healthcare related to each indirect element Wherein the association management unit stores the association information, and the application management unit includes: an application search unit for searching for an application in the application information DB based on the related element and the indirect element; And an app recommendation unit for calculating a priority of the retrieved apps in consideration of the association and the degree of association and providing an app recommendation list to the user.

Further, the application management unit may further include an application control unit for installing an application selected by the user in the application recommendation list on the smart device of the user, and setting a function for the application on the smart device based on the related factor and indirect factors have.

According to the present invention, it is possible to recommend an app useful to the user based on the genetic information of the user, not only when the user has already recognized the user in the body, health, living environment, etc., do.

Especially, for apps related to food, medicines, sports, etc., users do not consider their own body or health condition, simply use recommended apps according to popular popularity, or when users have wrong usage pattern If you use a recommended app for the same usage pattern, then the app itself will be able to address concerns that it may cause inappropriate or serious health problems for users who use it, even if it is a good and popular app .

In addition, based on the genetic information of the user, it is possible to set the app to function optimally for the user in the body, health and living environment of the user, and to set the app according to the change of the user's body or environment To control the functionality of your app.

FIG. 1 illustrates an application recommendation method according to the prior art,
FIG. 2 is a schematic conceptual block diagram of a healthcare application management system for a smart device based on personal genetic information according to the present invention,
3 is a block diagram of an embodiment of a healthcare application management system for a smart appliance based on personal genetic information according to the present invention,
4 is a block diagram of an embodiment of an app management service server in a healthcare application management system for a smart appliance based on personal genetic information according to the present invention,
FIG. 5 illustrates an example of information stored in gene association analysis data in a healthcare application management system for a smart appliance based on personal genetic information according to the present invention,
FIG. 6 illustrates an embodiment of information stored in a healthcare DB in a healthcare application management system for a smart device based on personal genetic information according to the present invention,
FIG. 7 shows an embodiment of information stored in an app information DB in a healthcare application management system for a smart device based on personal genetic information according to the present invention,
8 is a configuration diagram of an embodiment of an app management unit of an app management service server in a health care app management system for a smart device based on personal genetic information according to the present invention,
FIG. 9 is a flowchart illustrating a method for managing healthcare apps for smart devices based on personal genetic information according to the present invention,
FIG. 10 shows an example of related elements and indirect elements extracted according to the healthcare application management method for personal genetic information based smart devices according to the present invention,
FIG. 11 illustrates an example of a list of recommended applications according to a method for managing healthcare apps for smart devices based on personal genetic information according to the present invention,
FIG. 12 is a flowchart illustrating an embodiment of a healthcare application management method for a smart appliance based on personal genetic information according to the present invention,
FIG. 13 shows an example of related elements and indirect elements extracted according to the embodiment of FIG. 12,
FIG. 14 illustrates an example of a list of apps sorted according to the embodiment of FIG. 12,
FIG. 15 illustrates an embodiment of controlling an app according to a healthcare application management method for a smart appliance based on personal genetic information according to the present invention,
FIG. 16 shows an example in which the app is controlled in the embodiment of FIG.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings.

First, the terminology used in the present application is used only to describe a specific embodiment, and is not intended to limit the present invention, and the singular expressions may include plural expressions unless the context clearly indicates otherwise. Also, in this application, the terms "comprise", "having", and the like are intended to specify that there are stated features, integers, steps, operations, elements, parts or combinations thereof, But do not preclude the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The present invention searches for an application for a smart device capable of providing a customized service to a user based on the personal genetic information of the user and recommends the search for the app for the smart device, And a control method for controlling the apparatus.

FIG. 2 is a schematic conceptual block diagram of a healthcare application management system for smart devices based on personal genetic information according to the present invention.

Referring to FIG. 2, a healthcare application management system for a personal genetic information-based smart appliance according to the present invention will be described. A user 10 provides his / her personal gene analysis information 15 to an app management service server 200 The app management service server 200 extracts physical or environmental related elements directly related to the genetic variation from the gene related analysis information 30 based on the individual genetic information analysis information 15 of the user 10. [ A physical or environmental factor directly related to a genetic variation is a disease or a physical change that can be directly caused by a genetic variation present at a specific gene location or a drug or food that requires attention, And the environmental factors that need attention, such as genetic variation. For example, a gene mutation may indicate that the user may be predicting or causing a related factor for diseases such as hypertension or asthma, and from another mutation of the gene, the user may be expected to have or predict an allergy to pollen Therefore, there is a related factor about pollutant air pollution environment. Thus, the user can know the physical or environmental related factors according to the genetic variation of the user 10 through the personal gene analysis information 15 of the user 10. The physical or environmental factors related to the genetic variation can be extracted through gene related analysis information 30. The gene related analysis information 30 is information on known gene analysis and is used in medical or biochemical documents or reports Means information that is a combination of various kinds of existing information.

When the physical or environmental related elements of the personal gene analysis information 15 of the user 10 are extracted, the app management service server 200 acquires indirect elements for health management of the user 10 in association with the related elements Related information (40). For example, if the hypertensive-related element of the user's genetic analysis information 15 is extracted, there are various factors such as blood pressure control, stress, and salt intake associated with hypertension, and blood pressure, Stress, and salt. Indirect factors associated with the related element may be extracted from the healthcare related information 40 associated with the health care of an individual present on the Internet.

The app management service server 200 extracts the related elements and indirect elements of the personal gene analysis information 15 of the user 10 and extracts the related elements and the indirect elements from the app store 50 Or the like, and recommends the app 10 to the user. At this time, the app management service server 200 may calculate the priority of the retrieved apps based on the related elements of the user 10 and the indirect elements, and provide the app list.

Further, when the user 10 selects a desired one of the recommended applications, the app management service server 200 installs the app in the smart device 600 of the user 10, You can also set up the features of the app that will be installed. Here, the smart device 600 may include a PC, a TV, a smart phone, a smart pad, etc., or may include a wearable device such as a smart clock, smart glasses, and the like. All of the devices that might be included.

The healthcare application management system for personal genetic information based smart devices according to the present invention will now be described in more detail with reference to embodiments.

FIG. 3 is a block diagram of an embodiment of a healthcare application management system for a smart device based on personal genetic information according to the present invention.

The user 10 provides his or her own gene analysis information 115 to the app management service server 200. Herein, the personal gene analysis information 115 is information on the gene of the user 10 The analyzed information may be transmitted or the personal gene analysis information 115 held by the user 10 itself may be directly provided to the app management service server 200. [

The app management service server 200 can provide an app suitable for the user 10 based on the individual gene analysis information 115 of the user 10 using various information that exists on the Internet or possessed by a medical or bio information institution Here, the app management service server 200 may be a service provider that provides genetic analysis information to the user 10, or may be a manufacturer of a smart device of a user 10, a communication service provider, Or may be various service providers that can be associated with the user 10,

Further, various medical or bio information used by the app management service server 200 may be constructed in advance as a separate database. In the embodiment of FIG. 3, the physical or environmental related element information directly related to the genetic variation is The gene related data 300 classified and stored according to the gene and the health related information on the Internet are used for the personal health management related to the related elements through the mining based on the related factors on the gene relevance analysis data 300 A healthcare DB 400 in which indirect elements are stored is built in advance. In addition, an app information DB 500 storing app information such as names, functions, and usage descriptions of various apps can be constructed in advance. The gene relevance analysis data 300, the healthcare DB 400, or the app information DB 500 may be optionally configured as a part of the app management service server 200 or may be configured as separate devices And a configuration for information provided by a service provider different from the service provider through the app management service server 200. [

In addition, the app management service server 200 extracts related elements and indirect elements based on the individual gene analysis information 115 of the user 10 and not only recommends an app corresponding thereto, but also selects a recommendation The user may install the application in the smart device 600 of the user 10 and further set the function of the application installed in the smart device 600 of the user 10 in consideration of the related elements and indirect elements of the user 10.

4 is a block diagram of a configuration of an embodiment of an app management service server in a healthcare app management system for a personal genetic information based smart device according to the present invention, which is a main characteristic configuration of the present invention. Fig.

The app management service server 200 may include a user genetic information analysis unit 210, a user health management analysis unit 230, an app management unit 250, and the like.

The user genetic information analyzing unit 210 receives the user's individual gene analysis information and extracts related elements according to the individual gene analysis information in conjunction with the gene relevance analysis data 300, Referring to an example of the information stored in the gene association analysis data in the healthcare application management system for a personal genetic information-based smart device, the gene association analysis data 300 includes various genetic mutations and physical or environmental Related information is classified and stored for each gene and additionally the relevance of whether the relevant element has a good or bad influence on the human body and the degree of relevance related to the genetic variation of each related element is matched And stored.

The user genetic information analyzing unit 210 identifies a gene corresponding to a genetic variation in the user's individual gene analysis information based on the gene association analysis data 300 as shown in FIG. 5, extracts related elements therefrom, Related elements and matched relevance and relevance.

The user health management analysis unit 230 extracts indirect elements related to the related elements extracted by the user genetic information analysis unit 210 in cooperation with the healthcare DB 400. The user health management analysis unit 230 extracts, Referring to an example of the information stored in the healthcare DB in the healthcare application management system for the device, the healthcare DB 400 stores indirect factors for health management of the individuals associated with various related factors, In addition, associativity, which is the degree of association between the relevant indirect factors and the related factors, is matched and stored.

Next, the application management unit 250 searches for an application to be recommended to the user in the application information DB 500 based on the related elements or indirect elements extracted by the user genetic information analysis unit 210 or the user health management analysis unit 230 Referring to an example of the information stored in the app information DB in the healthcare application management system for a smart device based on personal genetic information according to the present invention shown in Fig. 7, the app information DB 500 stores names, functions, The application management unit 250 stores various information such as an operation description, an operable smart device, a separate device to be interlocked, and an approval of a specialist. Search for apps for information. At this time, the app corresponding to the related element or the indirect element can be extracted by searching the app information DB 500 using the keyword.

Further, the application management unit 250 may calculate and prioritize the retrieved applications more appropriately to the user. Further, the application management unit 250 may provide functions for the app selected by the user to the user at the time of operation on the smart device You can also set it to be optimal.

8 is a block diagram of an embodiment of an app management unit of an app management service server in a healthcare app management system for a smart device based on personal genetic information according to the present invention.

The application management unit 250 may include an application search unit 251, an application recommendation unit 253, and an application control unit 255. The app searcher 251 searches the app information DB 500 for keywords related to related elements or indirect elements extracted by the user genetic information analyzer 210 or the user healthcare analyzer 230 in conjunction with the app information DB 500. [ Searches for the corresponding application, and the application recommendation unit 253 calculates the priority of the retrieved appara- tus in consideration of the related element or the indirect element, and provides a list of apps matching the recommendation ranking to the user . Then, the application control unit 255 sets the function of the application so that the corresponding application operates in the optimum state for the user in the smart device 600. [ Hereinafter, the operation of the application management unit 250 will be described in detail with reference to a method for managing healthcare apps for smart devices based on personal genetic information according to the present invention.

The healthcare application management system for smart devices based on personal genetic information according to the present invention can selectively recommend apps that can operate optimally for the user's body or environment based on the personal gene analysis information of the user Hereinafter, a method for recommending and controlling an app using a healthcare application management system for smart devices based on personal genetic information according to the present invention will be described.

First, the method for managing healthcare apps for smart devices based on personal genetic information according to the present invention is a process based on the healthcare application management system for smart devices based on personal genetic information according to the present invention, And a healthcare application management system for genetic information-based smart devices.

FIG. 9 is a flowchart illustrating a method for managing healthcare apps for smart devices based on personal genetic information according to the present invention.

The user's personal gene analysis information is received and the related direct related elements are extracted (S100). The source data for extracting the related elements may be various kinds of medical or bio information on the Internet or a network. Preferably, the related data corresponding to the user's individual gene analysis information is stored in the pre- It may be extracted. When the related elements are extracted, an indirect element for the health management of the individual is extracted (S200) in association with the related element. Here, the source data for extracting the indirect element can be various medical or bio information on the Internet or the network. An indirect element corresponding to the related element extracted from the healthcare DB 400 constructed in advance may be extracted. Here, the related element can be extracted from professional medical or bio information as physical or environmental related information directly related to the genetic variation, but the indirect element is general information related to the related element, Which may be extracted from various information.

Referring to FIG. 10, there is shown an example of related elements and indirect elements extracted according to the healthcare application management method for a smart appliance based on personal genetic information according to the present invention. (a) includes information on a genome number, a nucleotide sequence position, a corresponding gene, a genetic variation, and the like as personal gene analysis information provided by a user. Such information is stored in the gene association analysis data 300 of FIG. 5 And the related elements directly related to each genetic variation are extracted as shown in FIG. 10 (b).

When the related elements as shown in FIG. 10B are extracted, the extracted related elements are matched to the healthcare DB 400 of FIG. 6, and the indirect elements related to each related element as shown in FIG. .

Referring back to FIG. 9, if related elements and indirect elements are extracted, an application for a user's personal health management is searched (S300) considering the extracted related elements and indirect elements, and an application (S400). When the related elements and the indirect elements are extracted as shown in the example of FIG. 10, the app information DB 500 of FIG. 7 is searched based on the related elements and indirect elements, , And recommends a list of the retrieved apps to the user.

Through such a process, it is possible to search for an application based on the user's personal genetic information and recommend it to the user. In addition, when the user selects the retrieved app as shown in FIG. 9, (S500) by setting the functions of the app based on the user's related elements and indirect elements.

Further, in the present invention, in searching for and recommending an application based on a personal genetic information of a user, an app more suitable for a user may be recommended first. In this regard, FIG. 12 shows a healthcare application FIG. 12 is a flowchart illustrating an exemplary method of managing a healthcare application in accordance with an embodiment of the present invention. Referring to FIG. 12, a method for recommending a specific application through a healthcare application management system for a smart appliance based on personal genetic information according to the present invention will be described.

The user 10 provides his or her own gene analysis information S110 to the app management service server 200. At this time, the user 10 transmits the gene analysis information to the gene analysis service provider who has requested the analysis of his gene To the management service server 200 or may transmit the personal gene analysis information stored in the personal terminal held by the user 10 to the app management service server 200. [

The user genetic information analysis unit 210 of the app management service server 200 extracts a direct related element related to the genetic variation of the individual gene analysis information provided from the user 10 based on the gene relevance analysis data 300 (S120). The extraction of the related element is the same as the extraction of the related element (S100) of FIG. 9 described above. Further, the user genetic information analysis unit 210 of the app management service server 200 also extracts the relevance degree of the related elements extracted from the gene relevance analysis data 300 (S130).

The user health management analyzing unit 230 of the app management service server 200 is associated with the related elements extracted from the user genetic information analyzing unit 210 of the app management service server 200 based on the healthcare DB 400 The indirect element for health management of the individual is extracted (S210), and the indirect element extraction is the same as the indirect element extraction procedure (S200) of FIG. 9 described above. Also, the user health management analysis unit 230 of the app management service server 200 extracts the degree of association of the indirect elements extracted from the healthcare DB 400, and calculates the degree of influence based on the degree of association.

The process for calculating the degree of influence will now be described with reference to an example of the related elements and indirect elements shown in FIG. 13, wherein FIG. In FIG. 13, section A represents individual gene analysis information provided from the user 10, and section B represents related elements extracted from the gene association analysis data 300 based on the individual gene analysis information . In addition, C section shows indirectness and correlation extracted from the healthcare DB (400). The degree of influence on each indirect element is calculated by taking into account the relation between the relevant element and the indirectness of the corresponding indirect element, And the degree of influence on health care. In the example of FIG. 13, the degree of each influence is calculated by multiplying the relevance of the related factor and the correlation of the corresponding indirect factor. For example, the association factor of hypertension is 0.8, and the indirect effect of hypertension is 0.8, which is an indirect factor for hypertension. . In addition, the association factor of caffeine is 0.4, and the indirect effect of insomnia, which is an indirect factor for caffeine, is 0.6, which is an indirect factor of related factor, caffeine, which is 0.24 for insomnia .

Through such a process, the related elements and relatedness of the section B, which are respectively matched to the individual gene analysis information of the section A, are extracted and the indirect elements of the section C matching with the respective elements and the calculated table . In addition, an additional recommendation for each related element or indirect element may be presented, which may be used as an element to control the functionality of the installed application.

12, when the related elements and the indirect elements according to the individual gene analysis information of the user 10 are extracted, the application management unit 250 of the application management service server 200 extracts, from the app information DB 500, Searches for an app matching the related element or indirect element by combining various information such as name, function, and usage description of the app stored in the app information DB 500 (S310).

In addition, referring to FIG. 14, when the application is searched as shown in FIG. 11, the application manager 250 of the application management service server 200 calculates the priority of the retrieved applications FIG. 14 shows a process of calculating an index for priority based on the name and description of the searched app. For example, in the case of the retrieved "automatic blood pressure measurement app", the name of the app includes indirect factors such as "blood pressure" and the related information "hypertension" in the app description. The related factors are directly predicted In Fig. 14, the weighting factor is added to the related element and is reflected in the index. In other words, the "automatic blood pressure measurement app" calculates the index of 1.8 by adding a weight to the related factor, and the indirect factor, the blood pressure, reflects the influence index to the index of 0.8. When the index sum is calculated by adding each index, an index sum of 3.6 is calculated for the 'automatic blood pressure measuring app'. One more example is that 'my dessert making app' includes the related factors 'caffeine' and 'lactose' and weights each of them, so that the indices of 1.4 and 1.2 are calculated. A sum total of 2.6 is calculated.

Although not shown in FIG. 14, approval information of a professional institution or an expert for the application stored in the app information DB 500 may be reflected in the priority. For example, approval information of a professional institution or an expert for the retrieved application And if there is an index, the index sum may be calculated by adding a weight to the app.

The index sums are calculated for each of the searched apps, the apps are sorted in descending order of the exponent sums, and the results shown in Fig. 14 (a) are obtained. The app recommendation list as shown in (b) below is created.

12, the app management unit 250 of the app management service server 200 determines a recommendation ranking of apps suitable for the user (S410), generates a list of recommended apps corresponding thereto, and sends the app recommendation information (S430).

As described above, according to the healthcare application management method for smart devices based on personal genetic information according to the present invention, not only when the user is already aware of the user's body, health, living environment, etc., Users will be able to consider apps that benefit users first.

Especially, for apps related to food, medicines, sports, etc., users do not consider their own body or health condition, simply use recommended apps according to popular popularity, or when users have wrong usage pattern If you use the recommended apps with the same usage pattern, you can resolve concerns that may cause serious physical or health problems for users who use the apps themselves, even if they are high-performance and popular apps.

In addition, the present invention proposes a method of recommending an optimal app to a user based on genetic information of a user, and controlling an app according to a user's genetic information. In this regard, FIG. 5 shows an embodiment of controlling an app according to a healthcare application management method for a smart appliance.

If the user 10 selects an app desired by the user 10 in step S510 by recommending the application based on the genetic information to the user 10 according to the present invention as described above, the app manager 250 of the app management service server 200 selects the app The user sets the function of the app operating on the smart device 600 in step S540 and installs the relevant element or indirectly related to the personal genetic information of the user 10 on the smart device 600 Based on the element, it determines the function setting of the app and sets the function of the app so that the function can operate optimally.

The smart device 600 may sense the change of the user's body or environment or may change the body of the user 10 through a separate device linked to the smart device 600. [ Environment change, and the like can be sensed. The information of the body change or the environment change is received by the app management unit 250 of the app management service server 200, (S560), and controls the function of the corresponding application installed in the smart device (600) based on the updated contents.

Referring to FIG. 16, an application is set and controlled based on genetic information of a user according to the present invention. For example, a user selects 'My dessert creating application' recommended in FIG. 14 and installed in a user's smart device On the basis of the genetic information of the user, the related factors 'lactose' and 'caffeine' were extracted for the 'my dessert making application' on the gene related analysis data of FIG. 5, and in case of lactose, And in case of caffeine, it is applied to the user as a bad effect. Therefore, based on this, when the 'my dessert making application' operates, the lactose-containing food is set to be recommended and the caffeine-containing food is set to be warned .

As described above, according to the present invention, not only is it possible to recommend an app best suited to the user in the user's body, health and living environment based on the genetic information of the user, It is possible to control the function of

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments of the present invention are not intended to limit the scope of the present invention but to limit the scope of the present invention. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

10: User,
100: Healthcare application management system for personal genetic information based smart devices,
200: an app management service server,
210: User genetic information analysis unit,
230: User health management analysis department,
250: an application management unit, 251: an application search unit,
253: App recommendation unit, 255: App control unit,
300: gene association analysis data,
400: Healthcare DB,
500: App Information DB.

Claims (13)

It is a specialized medical or biotechnology information directly related to genetic mutation. It can be used to analyze the genetic association data of the user in the gene association analysis data in which the physical or environmental related information is classified by the gene, A related element extracting step of extracting a related element related to information and an association relation therebetween;
Related factors related to health related information related to the related elements on the gene relevance analysis data, and the indirect factors related to the extracted related elements in the healthcare DB stored in correspondence with the associations of the health care for each indirect element An indirect element extraction step of extracting a figure; And
Searching for an application applicable to a smart device of the user based on the related element and the indirect element, selecting an app based on the extracted relation and the degree of association, and recommending the retrieved app to the user A method for managing healthcare apps for smart devices based on personal genetic information. delete The method according to claim 1,
Wherein the recommending step comprises:
An app search step of searching for an application applicable to a user's smart device based on the related element or indirect element;
A priority calculating step of calculating a priority of the retrieved application in consideration of the association and the degree of association; And
And recommending the application searched for by the user on the basis of the priority. The method of claim 1, further comprising: The method of claim 3,
The method of claim 1,
Searches for an app that includes the related element or indirect element in the app information DB in the app information DB having the app information,
Wherein the priority calculating step comprises:
Extracting related elements and indirect elements included in the app information of the searched apps and calculating the priorities in consideration of the association and the degree of association with the related elements and indirect elements included in the extracted app information How to manage healthcare apps for information based smart devices. The method of claim 3,
Wherein the priority calculating step comprises:
For related elements and indirect elements extracted from the app information of the searched app,
The degree of influence on the degree of association of the indirect element is calculated in consideration of the degree of association of the related element to which the indirect element corresponds,
Weights the relevance of related factors to the app, adds it to the influence of the app, calculates the index for the app,
And calculating a priority for the application in consideration of the index. The method of claim 3,
Wherein the priority calculating step comprises:
And a priority is calculated by assigning a weight to an app in which the approval of a specialist institution or an expert exists in the app information. The method according to claim 1,
And setting an application function selected based on the related element or the indirect element with respect to an app selected by the user. 8. The method of claim 7,
The user's body change information is acquired from a smart device or a body detection sensor installed in the user's body or home and that detects a change in the user's body, And resetting the function of the smart appliance based on the result of the determination. Genetic association data, in which physical or environmental information related to genetic variation is directly related to the medical or biotechnology information, is classified by gene and correlated with the genetic variation of each related element;
A healthcare DB in which an indirect factor for healthcare related information related to the related factor on the gene related analysis data and a correlation of healthcare for each indirect factor are matched and stored;
An app information DB having app information in association with an app store; And
Extracting from the gene association analysis data a related element directly related to a genetic variation of the individual gene analysis information, receiving an indirect element for health management of the individual associated with the related element, Extracting from the healthcare DB, searching for an application applicable to the smart device of the user in consideration of the related factors and indirect factors, and selecting and browsing the retrieved apps in consideration of the extracted association and the degree of association, And a healthcare application management system for a smart appliance based on personal genetic information. delete 10. The method of claim 9,
The app management service server,
A user genetic information analyzer for receiving user's individual gene analysis information and extracting related elements according to the individual gene analysis information from the gene related analysis data;
A user health management analyzer for extracting an indirect element associated with a related element extracted by the user genetic information analysis unit in the healthcare DB; And
And an app manager for searching for an app including the related element and the indirect element extracted from the app information DB. 12. The method of claim 11,
The application management unit,
An app search unit for searching for an app in the app information DB based on the related factor and an indirect factor; And
And an app recommendation unit for calculating a priority of the retrieved apps in consideration of the association and the degree of association, and providing an app recommendation list to the user. 13. The method of claim 12,
The application management unit,
Further comprising an app controller for installing an app selected by the user in the app recommendation list on the smart device of the user and setting the function for the app on the smart device based on the related factor and indirect factors, Based healthcare app management system for smart devices.

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