KR102529407B1 - Server, method and computer program for providing health consulting service - Google Patents

Abstract

A server providing a health consulting service includes a register for registering health information of a user, a disease of interest selection unit for selecting a disease of interest item based on the registered health information, and a plurality of items based on the health information and the disease of interest item. a similar group selector for selecting one similar group related to the health of the user from among the groups, a calculation unit for calculating a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group; and a health consulting service provider providing the health consulting service for the disease of interest based on the calculated correlation.

Description

Server, method and computer program providing health consulting service {SERVER, METHOD AND COMPUTER PROGRAM FOR PROVIDING HEALTH CONSULTING SERVICE}

The present invention relates to a server, method and computer program for providing health consulting services.

PHR (Personal Health Record) is a collection of medical information and examination information scattered in medical institutions, activity data collected with smartphones, etc. It means a health record system built to

Regarding the health record system using such a PHR, Korea Patent Publication No. 2011-0112715, which is a prior art, discloses a personal health management method using a mobile terminal, a recording medium recording the program, and a service providing server.

Conventionally, since the user's health checkup result is recorded through the PHR, the user can check the health checkup result through the PHR regardless of time and place. However, when a user has a chronic disease, since the chronic disease requires lifestyle improvement over a long period of time, it is not possible for the user to determine how much the chronic disease is prevented and improved through the PHR.

An object of the present invention is to provide a server, method, and computer program that provide a health consulting service for a disease of interest based on the user's health information by registering the user's health information and selecting a disease of interest.

One similar group related to the user's health is selected from among a plurality of groups based on the user's health information and disease items of interest, and a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group is selected. It is intended to provide a server, method, and computer program that calculates and provides a health consulting service for a disease of interest based on the calculated correlation.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problems described above, and other technical problems may exist.

As a means for achieving the above-described technical problem, an embodiment of the present invention provides a registration unit for receiving user's health information, a disease item selection unit for selecting a disease item of interest based on the registered health information, and a disease item selection unit for selecting the health item. a similar group selection unit that selects one similar group related to the health of the user from among a plurality of groups based on the information and the disease item of interest; at least one health characteristic item and at least one environmental factor for the selected similar group; A server may include a calculation unit that calculates a correlation between items and a health consulting service provider that provides the health consulting service for the disease item of interest based on the calculated correlation.

Another embodiment of the present invention includes registering health information of a user, selecting a disease item of interest based on the registered health information, and selecting the user among a plurality of groups based on the health information and the disease item of interest. selecting any one similar group related to the health of the user; calculating a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group; It is possible to provide a health consulting service providing method comprising providing the health consulting service for the disease of interest.

According to another embodiment of the present invention, a computer program, when executed by a computing device, registers health information of a user, selects a disease item of interest based on the registered health information, and receives the health information and the disease item of interest. selects one similar group related to the health of the user from among a plurality of groups based on, calculates a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group; It is possible to provide a computer program stored in a medium including a sequence of instructions for providing the health consulting service for the disease of interest based on the correlation.

The above-described means for solving the problems is only illustrative and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description.

According to any one of the above-described problem solving means of the present invention, it is possible to provide a server, method, and computer program for providing a health consulting service for a disease of interest by registering user's health information and selecting a disease of interest. can

A similar group genetically and physically similar to the user is selected from among a plurality of groups formed based on the health information data of a plurality of users, and a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group Based on this, it is possible to provide a server, method, and computer program for providing a health consulting service for a disease of interest.

By providing a customized health consulting service including lifestyle items to be sequentially performed by the user in relation to the disease of interest and a graph showing the numerical change of the disease of interest predicted when the lifestyle item is improved, the user's life Servers, methods and computer programs that enable inducing change in habits can be provided.

1 is a configuration diagram of a server according to an embodiment of the present invention.
2 is an exemplary diagram for explaining a process of registering health information according to an embodiment of the present invention.
3 is an exemplary diagram illustrating information stored in the PHR platform according to an embodiment of the present invention.
4A and 4B are exemplary diagrams for explaining a process of selecting one genetically similar group from a plurality of groups based on genetic similarity according to an embodiment of the present invention.
5 is an exemplary diagram illustrating a health consulting service for a disease of interest according to an embodiment of the present invention.
6 is a flow chart of a method for providing a health consulting service in a server according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that it may further include other components, not excluding other components, unless otherwise stated, and one or more other characteristics. However, it should be understood that it does not preclude the possibility of existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware.

In this specification, some of the operations or functions described as being performed by a terminal or device may be performed instead by a server connected to the terminal or device. Likewise, some of the operations or functions described as being performed by the server may also be performed in a terminal or device connected to the corresponding server.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of a server according to an embodiment of the present invention. Referring to FIG. 1 , the server 100 may include a registration unit 110, a disease of interest selection unit 120, a similar group selection unit 130, a calculation unit 140, and a health consulting service providing unit 150. can

The registration unit 110 may register user health information through a user terminal (not shown), an unmanned terminal installed in a hospital, or the like. A process of registering user's health information will be described in detail with reference to FIGS. 2 and 3 .

2 is an exemplary diagram for explaining a process of registering health information according to an embodiment of the present invention. Referring to FIG. 2 , the registration unit 110 may register user health information from a user terminal (not shown) through the health consulting service providing app 200 . Here, the health information may include genetic information, health examination information, medical record information, and the like.

For example, the registration unit 110 may receive genetic information 210 directly from a user terminal (not shown), and upload and register the input genetic information 210 to the PHR platform. Alternatively, the registration unit 110 may register the genetic information 210 stored in a separate storage in the PHR platform by receiving a selection from a user terminal (not shown). At this time, the genetic information 210 registered in the PHR platform may be downloaded from the PHR platform at the request of a user terminal (not shown).

For another example, the registration unit 110 may directly receive health examination information 220 from a user terminal (not shown), and upload and register the input health examination information 220 to the PHR platform. Alternatively, the registration unit 110 may register the health examination information 220 in the PHR platform by receiving a selection from a user terminal (not shown) and interworking with a system of a examination institution or a national institution.

For another example, the registration unit 110 may directly receive medical record information 230 from a user terminal (not shown), upload the input medical record information 230 to the PHR platform, and register the medical record information 230 . Alternatively, the registration unit 110 may register the medical record information 230 by receiving a selection from a user terminal (not shown) and interworking with a Hospital Information System (HIS) computer system of a hospital.

3 is an exemplary diagram illustrating information stored in the PHR platform according to an embodiment of the present invention. Referring to FIG. 3 , the PHR platform 300 may be divided into a health information category 310, a health management service category 320, and a setting 330 and managed. Here, the user's health information registered through the registration unit 110 in FIG. 2 may be managed by the health information category 310 .

The health information category 310 may be classified into health value information 311 , health history information 312 , genetic information 313 , and general information 314 . The health numerical information 311 includes the user's height, weight, BMI, blood pressure, blood sugar, heart rate, stress, etc., and the health history information 312 includes health examination information, medical history/symptoms, surgery/treatment, allergies, and vaccinations. , medication management, health information inquiries details, recommendations, etc., gene information 313 may include genome information, and general information 314 may include health-related recommendations.

The health care service category 320 may include nutrition/diet management, exercise management, sleep management, mild cognitive impairment, stress management, remote counseling, and the like.

The setting 330 may include family selection information, recent interest item setting information, member information, and the like.

Returning to FIG. 1 again, the disease item of interest selection unit 120 may select a disease item of interest based on registered health information. Disease items of interest may include blood pressure, hyperlipidemia, cholesterol, diabetes, and the like. For example, the disease of interest selection unit 120 may select blood pressure as a disease of interest for which the user wishes to receive health consulting.

The similar group selector 130 may select one similar group related to the user's health from among a plurality of groups based on the health information and the disease of interest. For example, the similarity group selector 130 selects a genetically similar group related to the user's health from among a plurality of groups, and then selects a user's physical characteristics and environmental factors from among a plurality of physically similar groups included in the selected genetically similar group. You can select the final similarity group related to .

The process of selecting a genetically similar group will be described in detail with reference to FIGS. 4A and 4B.

4A and 4B are exemplary diagrams for explaining a process of selecting one genetically similar group from a plurality of groups based on genetic similarity according to an embodiment of the present invention.

Referring to FIG. 4A , genes for obesity (400), hyperlipidemia (401), and diabetes (402) diseases generally have many genes considered for each disease, and each gene has at least one mutation. For this reason, various genetic similar groups can be generated according to the method of calculating genetic similarity.

Referring to FIG. 4B , gene A 410 includes mutations S1 and S2, gene B 420 includes mutations S3, S4, and S5, and gene C 430 includes mutations S6 and S7. Suppose we include

The similar group selector 130 derives genetic similarities between a plurality of users and users based on health information and diseases of interest, and selects one genetically similar group among the plurality of groups based on the derived genetic similarities. You can choose. Here, the similar group selection unit 130 calculates the genetic similarity based on whether a plurality of users have the same mutation, the number of mutations between the plurality of users and the users, the position of the mutation, and the influence of the mutation. can be derived

For example, the similar group selection unit 130 derives a genetic similarity based on whether a plurality of users have the same mutation between users, and based on the derived genetic similarity, any one gene of a plurality of groups You can select a similarity group. For example, when the first user 440 has mutations S1, S3, and S6, the similar group selector 130 has the same mutations S1, S3, and S6 as the first user 440. It is possible to select a gene similarity group corresponding to 100% similarity by querying from the entire database. At this time, since there may not be a genetically similar group corresponding to 100% similarity, the similarity group selector 130 lowers the similarity standard so that a genetically similar group can be selected even when all mutations are not identical. can In this case, there is an advantage that similar groups can be selected equally up to the mutation unit, but the case where the same gene loses its function although the mutation is different may not be included.

For another example, the similar group selector 130 may select one genetically similar group from among a plurality of groups based on a plurality of users and the number of mutations possessed by the users. For example, if the first user 440 has 3 mutations out of a total of 7 mutations, and both the 2nd user 441 and the 3rd user 442 have the same 3 mutations, the similar group The selector 130 may select a genetically similar group to which the second user 441 and the third user 442 belong to the first user 440 . At this time, the reason for selecting a genetically similar group based on the number of mutations is that each mutation may be different, but since the original function of the gene cannot be performed using the mutations, it can be comprehensively included.

As another example, the similar group selector 130 may select one genetically similar group from among a plurality of groups based on a plurality of users and positions of mutations possessed by the users. For example, the first user 440 and the second user 441 have different mutations in the same gene. At this time, since the degree of effect on the gene may vary depending on the location of the mutation, the location of the mutation may be considered. Since the second user 441 has mutation S7 that deviated from gene C 430, if the corresponding mutation is not selected as a major mutation, the similar group selector 130 performs multiple selections for the first user 440. A genetically similar group other than the second user 441 may be selected from among the groups.

As another example, the similarity group selector 130 may select one gene similarity group from among a plurality of groups based on the degree of influence of the mutation. The degree of influence of mutation is classified on a scale of 0 to 10 by how much influence each mutation actually has in the census at sites such as SNPedia (https://www.snpedia.com/) that interpret genetic information. For example, when the S1 variation has an influence of 9 and the S2 variation has an influence of 1, since the influence of the variations of the first user 440 and the third user 442 are the same, the similarity group selection unit 130 A genetically similar group to which the third user 441 belongs may be selected from among a plurality of groups with respect to the first user 440 .

Returning to FIG. 1 , the similarity group selector 130 may select one final similarity group from among at least one physically similar group included in the selected genetically similar group based on the physical factor of the user and the environmental factor. . Here, the physical factor includes age, gender, and the like, and the environmental factor is a lifestyle that can be changed according to the user's will, and may include obesity (weight), exercise, dietary calories, smoking, and the like.

For example, if the user is a male in his twenties with hypertension, the similar group selector 130 selects at least one physically similar group included in the selected genetically similar group, in the same age range as the user, the same gender, and the same obesity degree as the user. You can select the final similar group to which other users with .

The similar group selection unit 130 may extract a correlation between at least one health characteristic item and at least one environmental factor item through machine learning based on the health information data of at least one other user belonging to the selected final similar group. . Here, the health characteristics items include blood pressure, blood sugar, cholesterol, ALT (Alanine aminotransferase), AST (Aspartate aminotransferase), Gamma GTP (Glutamyl transpeptidase), etc., and the environmental factor items include weight, BMI (Body Mass Index), and smoking status. , alcohol consumption, exercise, etc. For example, the similar group selector 130 may extract BMI, smoking, drinking alcohol, fasting blood sugar, etc. as related data from environmental factor items in the case of blood pressure values included in the health characteristic items.

The calculation unit 140 may calculate a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group. For example, the calculator 140 may calculate a correlation between at least one health characteristic item and at least one environmental factor item based on the correlation extracted by the similar group selector 130 . The reason for calculating the correlation between the health characteristic item and the environmental factor item is that the user is genetically similar to other users belonging to a similar group, and health characteristics may be different even though the user is physically and environmentally similar.

For example, in the 2015 health checkup data of Koreans, a 60-year-old male showed '0.2' for blood pressure and BMI, '0' for smoking, '0' for drinking, and '0.1' for fasting blood sugar. In the case of a 20-year-old male, blood pressure and BMI were '0.31', smoking was '0.03', drinking was '0', and fasting blood sugar was '0.11', even though only the age was changed. Therefore, if the hypertensive user is as young as 20 years of age, weight management, smoking cessation, and blood sugar management may be advised, and if the hypertensive user is aged 60 years or older, only weight management and blood sugar management may be advised. In addition, it is possible to provide various consulting services on diseases of interest by using more data such as exercise status, dietary management, and sleep information.

The health consulting service provider 150 may provide a health consulting service for a disease of interest based on the calculated correlation. The health consulting service provider 150 represents a lifestyle item that the user will sequentially perform in relation to the disease item of interest based on the calculated correlation and a numerical change of the disease item of interest predicted when the lifestyle item is improved. A customized health consulting service including graphs and the like may be provided. A health consulting service for a disease of interest will be described in detail with reference to FIG. 5 .

5 is an exemplary diagram illustrating a health consulting service for a disease of interest according to an embodiment of the present invention.

Referring to FIG. 5 , when the user selects blood pressure as a disease of interest, the health consulting service provider 150 sets the lifestyle item 510 to be performed sequentially in the order of weight loss → blood sugar management → smoking cessation in relation to blood pressure. A health consulting service 500 including may be provided.

In addition, the health consulting service provider 150 predicts a disease of interest when the lifestyle item 510 is improved, such as, for example, how much the risk rate of blood pressure is reduced and how close the blood pressure level is improved to a normal value. A health consulting service 500 including a graph 520 representing changes in numerical values of items may be provided. Here, the numerical change of the disease of interest can be predicted through Equation 1 below.

Here, D _new represents a numerical value predicted by lifestyle change, D _i represents the user's current health characteristic value (eg, blood pressure value), a _i represents a regression analysis constant, and E _i represents the user's It represents an environmental factor (eg, overweight), and n may represent the number of items corresponding to the environmental factor.

This server 100 may be executed by a computer program stored in a medium containing a sequence of instructions for providing health consulting services. When the computer program is executed by a computing device, the user's health information is registered, a disease item of interest is selected based on the registered health information, and a disease item of interest is selected from among a plurality of groups related to the user's health, based on the health information and the disease item of interest. Select any one similar group, calculate a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group, and provide a health consulting service for the disease item of interest based on the calculated correlation. It may contain a sequence of instructions to provide

6 is a flow chart of a method for providing a health consulting service in a server according to an embodiment of the present invention. The method of providing a health consulting service in the server 100 shown in FIG. 6 includes steps processed time-sequentially by the server 100 according to the embodiment shown in FIGS. 1 to 5 . Therefore, even if the content is omitted below, it is also applied to the method of providing health consulting service in the server 100 according to the embodiment shown in FIGS. 1 to 5 .

In step S610, the server 100 may register health information of the user.

In step S620, the server 100 may select a disease item of interest based on the registered health information.

In step S630, the server 100 may select one similar group related to the user's health from among a plurality of groups based on the health information and the disease of interest.

In step S640, the server 100 may calculate a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group.

In step S650, the server 100 may provide a health consulting service for a disease of interest based on the calculated correlation.

In the above description, steps S610 to S650 may be further divided into additional steps or combined into fewer steps, depending on an embodiment of the present invention. Also, some steps may be omitted as needed, and the order of steps may be switched.

The method of providing a health consulting service in a server described with reference to FIGS. 1 to 6 may be implemented in the form of a computer program stored in a medium executed by a computer or a recording medium including instructions executable by a computer. In addition, the method of providing health consulting service in the server described with reference to FIGS. 1 to 6 may be implemented in the form of a computer program stored in a medium executed by a computer.

Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer readable media may include computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

100: server
110: register
120: disease of interest selection unit
130: similar group selection unit
140: calculation unit
150: health consulting service provision department

Claims (19)

In a server providing health consulting services,
a register for receiving user's health information;
a disease item selection unit that selects a disease item of interest based on the registered health information;
a similar group selector selecting one similar group related to the health of the user from among a plurality of groups based on the health information and the disease of interest;
a calculator calculating a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group; and
A health consulting service provider providing the health consulting service for the disease of interest based on the calculated correlation.
Including,
The similar group selector derives a genetic similarity between a plurality of users and the user based on the health information and the disease of interest, and based on the derived genetic similarity, genetic similarity of any one of the plurality of groups. select a group,
The similar group selection unit is based on at least one of whether the plurality of users have the same variance between the users, the plurality of users and the number of variances the user has, the position of the variance, and the degree of influence of the variance. To derive the genetic similarity, the server.
According to claim 1,
The health information includes at least one of genetic information, health checkup information, and medical record information.
delete delete According to claim 1,
wherein the similarity group selector selects one final similarity group from among at least one physically similar group included in the selected genetically similar group based on physical factors and environmental factors of the user.
According to claim 5,
The similar group selector extracts a correlation between the at least one health characteristic item and the at least one environmental factor item through machine learning based on health information data of at least one other user belonging to the final similarity group selected, and
Wherein the calculating unit calculates a correlation between the at least one health characteristic item and the at least one environmental factor item based on the extracted correlation.
According to claim 6,
The health consulting service providing unit includes a lifestyle item that the user will sequentially perform in relation to the disease of interest based on the calculated correlation and a numerical change of the disease of interest item predicted when the lifestyle item is improved. To provide a customized health consulting service including at least one of the graphs representing the server.
According to claim 7,
The change in the numerical value of the disease of interest item is predicted based on at least one of a current health characteristic value of the user, an environmental factor of the user, and the number of items corresponding to the environmental factor.
According to claim 1,
The health characteristic items include at least one of blood pressure, blood sugar, cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and glutamyl transpeptidase (GTP),
The environmental factor item includes at least one of weight, BMI (Body Mass Index), smoking, drinking, and exercise, the server.
A method for providing a health consulting service in a server,
Receiving user's health information;
selecting a disease of interest based on the registered health information;
selecting one similar group related to the user's health from among a plurality of groups based on the health information and the disease of interest;
calculating a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group; and
Providing the health consulting service for the disease of interest based on the calculated correlation
Including,
In the step of selecting the similar group,
deriving a genetic similarity between a plurality of users and the users based on the health information and the disease of interest; and
Selecting one genetically similar group from among the plurality of groups based on the derived genetic similarity;
The step of deriving the genetic similarity,
The genetic similarity is determined based on at least one of whether the plurality of users have the same mutation between the users, the plurality of users and the number of mutations possessed by the user, the position of the mutation, and the influence of the mutation. To include the step of deriving, a health consulting service providing method.
According to claim 10,
Wherein the health information includes at least one of genetic information, health examination information, and medical record information, health consulting service providing method.
delete delete According to claim 10,
In the step of selecting the similar group,
and selecting one final similar group from at least one physically similar group included in the selected genetically similar group based on physical factors and environmental factors of the user.
15. The method of claim 14,
In the step of selecting the similar group,
Extracting a correlation between the at least one health characteristic item and the at least one environmental factor item through machine learning based on health information data of at least one other user belonging to the selected final similarity group;
The step of calculating the correlation is,
And calculating a correlation between the at least one health characteristic item and the at least one environmental factor item based on the extracted correlation.
According to claim 15,
The step of providing the health consulting service,
At least one of a lifestyle item to be sequentially performed by the user in relation to the disease of interest based on the calculated correlation and a graph showing a numerical change of the disease of interest item predicted when the lifestyle item is improved. To include the step of providing a customized health consulting service comprising a, health consulting service providing method.
17. The method of claim 16,
Wherein the numerical change of the disease of interest item is predicted based on at least one of a current health characteristic value of the user, an environmental factor of the user, and the number of items corresponding to the environmental factor.
According to claim 10,
The health characteristic items include at least one of blood pressure, blood sugar, cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and glutamyl transpeptidase (GTP),
Wherein the environmental factor item includes at least one of weight, BMI (Body Mass Index), smoking, drinking, and exercise, health consulting service providing method.
A computer program stored in a medium containing a sequence of instructions for providing a health consulting service,
When the computer program is executed by a computing device,
Receive user's health information,
Based on the registered health information, a disease item of interest is selected,
Selecting one similar group related to the user's health from among a plurality of groups based on the health information and the disease of interest;
Calculate a correlation between at least one health characteristic item and at least one environmental factor item for the selected similar group;
And a sequence of instructions for providing the health consulting service for the disease of interest based on the calculated correlation,
The command to select the similar group is,
Deriving a genetic similarity between a plurality of users and the user based on the health information and the disease of interest, and selecting any one genetic similarity group among the plurality of groups based on the derived genetic similarity,
The command for deriving the genetic similarity is,
The genetic similarity is determined based on at least one of whether the plurality of users have the same mutation between the users, the plurality of users and the number of mutations possessed by the user, the position of the mutation, and the influence of the mutation. A computer program stored on a medium, which derives.

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