KR20210058467A - Apparatus and method for predicting and visualizing an integrated risk for specific categories of diseases - Google Patents

Abstract

Disclosed are a device and method for calculating and visualizing an integrated risk for a disease category. The present invention obtains a user's risk level for multiple diseases and not specific diseases, that is, for diseases belonging to a specific disease group or for all diseases; and is visualized by patterning the image. According to the present invention, the present invention helps to better understand the user's genetic test result in an integrated and intuitive way, and can provide a customized personal genetic test result derivative service and various applied products. The device comprises: a storage part; a disease risk acquisition part; and an integrated risk acquisition part.

Description

{Apparatus and method for predicting and visualizing an integrated risk for specific categories of diseases}

The present invention relates to an apparatus and method for calculating and visualizing an integrated risk for a disease category, and more particularly, to obtain a user's risk for a plurality of diseases, that is, diseases belonging to a specific disease group or all diseases, not a specific disease, It relates to an apparatus and a method for visualizing by image patterning.

Single nucleotide polymorphism (SNP) related to various disease-related, trait, or phenotype by genome sequence translation and full-length genome-wide association study (GWAS, etc.) ) Markers, RNA, epigenetic, and protein markers are constantly being identified, and as a method of utilizing markers related to heredity and environment, such as epigene information related to these genes and environment, one or more diseases and traits. By using the phenotypic gene, epigenes, and other biomarkers of the plant, the test can be performed for each disease and phenotype, and the results can be expressed as a report and provided to various media.

As a related prior art, research on how to integrate and analyze multiple genetic markers for a disease has been mainly conducted in recent years, and as a representative example, a method such as polygenic risk score has been developed. In the case of the existing genetic test result report, it is common to provide whether the risk is high/low, or the risk score and rank for each disease covered by the test.

Korean Patent Laid-Open Patent No. 2019-0077997 (Clinomics Co., Ltd.) July 4, 2019 Patent Document 1 is a device and method for predicting disease and phenotypic risk, and Patent Document 1 includes various diseases and diseases developed for race/ethnicity around the world. For phenotypic-related genetic markers, content for predicting genetic risk by assigning weights for each marker appropriately for a group to be tested for genetic risk is disclosed.

The technical task of the present invention is to calculate the integrated risk for a disease category that acquires the user's risk for not a specific disease but a plurality of diseases, that is, diseases belonging to a specific disease group or all diseases, and visualizes it by patterning an image. And a visualization device and method.

An integrated risk calculation and visualization apparatus for a disease category according to the present invention for achieving the above technical problem includes: a storage unit storing disease category information in which diseases are hierarchically grouped; A disease risk obtaining unit for obtaining a disease risk for each of a plurality of diseases belonging to a lower level of a disease category selected by the user from among the disease category information based on the user's genotype information; And an integrated risk acquisition unit for acquiring an integrated risk level for the selected disease category by using a disease risk level for each of the plurality of diseases acquired through the disease risk level acquisition unit and a weight set in advance for each of the plurality of diseases. Includes.

The disease category information may include a top node that is an entire disease category, a plurality of lowest nodes consisting of individual diseases, and a plurality of intermediate nodes that are disease categories to which a plurality of lowest nodes belong.

The weight may represent a ratio of a corresponding disease within the selected disease category.

The proportion of the disease within the selected disease category is at least among the number of patients with the disease, the ranking of the disease, the mortality due to the disease, the severity of the disease, the recurrence rate of the disease, the degree of inheritance of the disease, and the number of genetic markers of the disease. It can be acquired based on one piece of information.

The disease risk obtaining unit may convert the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs.

The integrated risk obtaining unit may convert the integrated risk of the selected disease category into a relative value compared to the corresponding integrated risk of other users of the group to which the user belongs.

을 통해 상기 선택된 질병 카테고리에 대한 통합 위험도를 획득하며, 상기 n은, 상기 선택된 질병 카테고리의 하위 레벨에 속하는 질병의 수를 나타내고, 상기 w는, 해당 질병에 대한 가중치를 나타내고, 상기 R은, 해당 질병의 질병 위험도를 나타낼 수 있다.The integrated risk acquisition unit, formula

The integrated risk for the selected disease category is obtained through, wherein n represents the number of diseases belonging to a lower level of the selected disease category, w represents a weight for the disease, and R represents the corresponding disease. It can indicate the disease risk of a disease.

Based on the disease risk for each of the plurality of diseases belonging to the lower level of the selected disease category and the integrated risk for the selected disease category acquired through the integrated risk acquisition unit, the user's risk is image-patterned and the It may further include a risk visualization unit for providing the risk image information to the user terminal of the user.

The risk visualization unit may pattern the image of the user's risk in one of a circle shape, a triangle shape, a square shape, and an organ shape using a preset color for each risk score.

The risk visualization unit uses one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, obtains a color for each visualization unit based on a preset color for each risk score, and visualizes the user's risk. It can be visualized by unit.

The integrated risk calculation and visualization method for a disease category according to the present invention for achieving the above technical problem includes a storage unit storing disease category information in which diseases are hierarchically grouped, a disease risk acquisition unit, and an integrated risk level. An integrated risk calculation and visualization method for a disease category performed by an integrated risk calculation and visualization device including an acquisition unit, wherein the disease risk acquisition unit includes a disease selected by the user from among the disease category information based on the user's genotype information. Obtaining a disease risk for each of a plurality of diseases belonging to a lower level of the category; And acquiring, by the integrated risk acquisition unit, an integrated risk for the selected disease category by using a disease risk for each of the plurality of diseases and a weight set in advance for each of the plurality of diseases.

The disease category information may include a top node that is an entire disease category, a plurality of lowest nodes consisting of individual diseases, and a plurality of intermediate nodes that are disease categories to which a plurality of lowest nodes belong.

The weight may represent a ratio of a corresponding disease within the selected disease category.

The proportion of the disease within the selected disease category is at least among the number of patients with the disease, the ranking of the disease, the mortality due to the disease, the severity of the disease, the recurrence rate of the disease, the degree of inheritance of the disease, and the number of genetic markers of the disease. It can be acquired based on one piece of information.

The disease risk acquisition step may include converting, by the disease risk acquisition unit, the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs. .

In the step of obtaining the integrated risk, the integrated risk obtaining unit may convert the integrated risk for the selected disease category into a relative value compared to the corresponding integrated risk of other users of the group to which the user belongs.

을 통해 상기 선택된 질병 카테고리에 대한 통합 위험도를 획득하는 것으로 이루어지며, 상기 n은, 상기 선택된 질병 카테고리의 하위 레벨에 속하는 질병의 수를 나타내고, 상기 w는, 해당 질병에 대한 가중치를 나타내고, 상기 R은, 해당 질병의 질병 위험도를 나타낼 수 있다.In the step of obtaining the integrated risk, the integrated risk obtaining unit,

The integrated risk for the selected disease category is obtained through, wherein n represents the number of diseases belonging to a lower level of the selected disease category, w represents a weight for the disease, and R May indicate the disease risk of the disease.

The integrated risk calculation and visualization device further includes a risk visualization unit, wherein the risk visualization unit determines a disease risk for each of the plurality of diseases belonging to a lower level of the selected disease category, and an integrated risk for the selected disease category. Based on the image patterning of the user's risk level, the step of providing risk level image information to the user terminal of the user; may further include.

The providing of the image information may include, by the risk visualization unit, patterning the user's risk in one of a circle shape, a triangle shape, a square shape, and an organ shape using a preset color for each risk score. have.

In the providing of the image information, the risk visualization unit obtains a color for each visualization unit based on a preset color for each risk score, using one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, The user's risk level may be visualized for each visualization unit.

The computer program according to the present invention for achieving the above technical problem is stored in a computer-readable recording medium to execute any one of the integrated risk calculation and visualization methods for the disease category described above on the computer.

According to the integrated risk calculation and visualization apparatus and method for a disease category according to the present invention, based on the disease risk for each of a plurality of diseases belonging to a lower level of the disease category selected by the user, the disease category selected by the user is By acquiring the user's integrated risk, it can be helpful to better understand the user's genetic test results in an integrated and intuitive way.

In addition, by visualizing the user's risk level by image patterning, it is possible to provide a personalized personal genetic test result derivative service and variously applied products.

1 is a block diagram illustrating a device for calculating and visualizing an integrated risk for a disease category according to a preferred embodiment of the present invention.
FIG. 2 is a block diagram showing the configuration of the integrated risk calculation and visualization device shown in FIG. 1 in more detail.
3 is a view for explaining disease category information according to a preferred embodiment of the present invention.
4 is a view for explaining an example of disease category information according to a preferred embodiment of the present invention.
5 is a view for explaining an example of a disease risk acquisition process according to a preferred embodiment of the present invention.
6 is a view for explaining an example of a weight according to a preferred embodiment of the present invention.
7 is a diagram for explaining an example of a process of obtaining an integrated risk according to a preferred embodiment of the present invention.
8 is a diagram for explaining an example of risk level image information according to a preferred embodiment of the present invention.
9 is a view for explaining an example in which risk image information is used according to a preferred embodiment of the present invention.
10 is a flowchart illustrating a method of calculating and visualizing an integrated risk for a disease category according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of an apparatus and method for calculating and visualizing an integrated risk for a disease category according to the present invention will be described in detail with reference to the accompanying drawings.

First, an integrated risk calculation and visualization apparatus for a disease category according to a preferred embodiment of the present invention will be described with reference to FIG. 1.

1 is a block diagram illustrating an apparatus for calculating and visualizing an integrated risk for a disease category according to a preferred embodiment of the present invention.

Referring to FIG. 1, an integrated risk calculation and visualization apparatus 100 for a disease category according to a preferred embodiment of the present invention may be connected to a user terminal 200 through a communication network 300.

The integrated risk calculation and visualization device 100 for a disease category (hereinafter referred to as'integrated risk calculation and visualization device') is not a specific disease, but a user's risk for multiple diseases, that is, diseases belonging to a specific disease group or all diseases. Is obtained, image patterned, and visualized, and provided to the user terminal 200.

The user terminal 200 may request an integrated risk calculation for a disease category selected by the user while providing the user's genotypic information to the integrated risk calculation and visualization apparatus 100 by the user's manipulation.

In addition, the user terminal 200 may display information provided from the integrated risk calculation and visualization apparatus 100.

Here, the user terminal 200 is not only a desktop computer, but also a notebook computer, a workstation, a palmtop computer, an ultra mobile personal computer (UMPC), a tablet PC, a personal digital assistant (PDA), a web pad, A terminal equipped with a memory means such as a smart phone or a mobile phone, and equipped with a microprocessor, may be configured as a terminal having computing power.

The communication network 300 includes not only a data communication network including a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), the Internet, etc., but also a telephone network. It can be used, and it does not matter which communication method is used, regardless of wired or wireless.

Then, an integrated risk calculation and visualization device for a disease category according to a preferred embodiment of the present invention will be described in more detail with reference to FIGS. 2 to 9.

2 is a block diagram showing the configuration of the integrated risk calculation and visualization apparatus shown in FIG. 1 in more detail, FIG. 3 is a diagram for explaining disease category information according to a preferred embodiment of the present invention, and FIG. 4 is the present invention Is a view for explaining an example of disease category information according to a preferred embodiment of, Figure 5 is a view for explaining an example of a disease risk acquisition process according to a preferred embodiment of the present invention, Figure 6 is a preferred embodiment of the present invention A diagram for explaining an example of a weight according to an example, FIG. 7 is a diagram for explaining an example of an integrated risk acquisition process according to a preferred embodiment of the present invention, and FIG. 8 is a risk image according to a preferred embodiment of the present invention It is a diagram for explaining an example of information, and FIG. 9 is a diagram for explaining an example in which risk level image information according to a preferred embodiment of the present invention is used.

2, the integrated risk calculation and visualization device 100 includes a storage unit 110, a communication unit 130, a disease risk acquisition unit 150, an integrated risk acquisition unit 170, and a risk visualization unit 190. It may include.

The storage unit 110 serves to store programs and data necessary for the operation of the integrated risk calculation and visualization apparatus 100, and may be divided into a program area and a data area.

The program area is the overall operation of the integrated risk calculation and visualization device 100, such as an operating system (OS) booting the integrated risk calculation and visualization device 100, acquisition of disease risk, acquisition of integrated risk, and visualization of risk. You can save the necessary application programs and so on.

The data area is an area in which data generated according to the use of the integrated risk calculation and visualization apparatus 100 is stored, and may store a user's disease risk, a user's integrated risk, and disease category information.

Here, in the disease category information, diseases are hierarchically grouped. That is, the disease category information may include a top node that is an entire disease category, a plurality of bottom nodes consisting of individual diseases, and a plurality of intermediate nodes that are disease categories to which the plurality of bottom nodes belong. As shown in FIG. 3, the disease category information includes the highest node (TN), a plurality of intermediate nodes (MN1 to MNn), and a plurality of lowest nodes (BN1-1 to BN1-n, BNn-1 to BNn-n). It can be made of. The disease category information may be formed in a hierarchical structure in the form of a tree as shown in (a) of FIG. 3, or in a hierarchical structure in the form of a table as shown in (b) of FIG. 3.

In addition, the existing international disease classification code (ICD-10) and domestic disease classification code (KCD7) can be used to classify disease categories, and diseases are grouped by selectively combining users or service providers according to specific purposes. You may.

For example, as shown in Fig. 4, the disease category information will include four intermediate nodes consisting of "cancer and tumor diseases (male)", "nervous system diseases", "digestive system diseases", and "circulatory and respiratory diseases". I can. And, the “cancer and tumor disease (male)” disease category includes diseases “gastric cancer”, “colorectal cancer”, “thyroid cancer”, “lung cancer”, “liver cancer”, “pancreatic cancer”, “kidney cancer”, “bladder cancer”, “ Esophageal cancer", "prostate cancer", "gallbladder cancer", "nasopharyngeal cancer", "non-Hodgkin's lymphoma", "chronic lymphocytic leukemia", "ostesarcoma", "Ewing sarcoma", and "testicular cancer", and "nervous system diseases. "The disease categories are diseases "Parkinson's disease", "Alzheimer's disease", "vascular dementia", "epilepsy", "migraine", "amyotrophic lateral sclerosis", "multiple sclerosis", "essential tremors", "anxiety of the legs. Syndrome", and "narcolepsy", and the "digestive disease" disease category includes the diseases "primary biliary cirrhosis", "nonalcoholic fatty liver", "ulcerative colitis", "Crohn's disease", and "duodenal ulcer" And, "Circulatory and Respiratory Diseases" disease category includes diseases "atrial fibrillation", "coronary artery disease", "stroke", "myocardial infarction", "asthma", "hypertension", "cerebral aneurysm", "abdominal aortic aneurysm" , “Chronic obstructive pulmonary disease”, and “allergic rhinitis”.

The communication unit 130 includes a wired communication module (not shown) or a wireless communication module (not shown), and performs a function of transmitting and receiving corresponding data for wired/wireless communication with the user terminal 200.

The disease risk acquisition unit 150 acquires a disease risk for each of a plurality of diseases belonging to a lower level of a disease category selected by the user from among disease category information based on the user's genotype information. Here, the method of calculating the disease risk uses a conventionally used risk calculation method.

In addition, the disease risk acquisition unit 150 may convert the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs.

That is, the disease risk acquisition unit 150 calculates the same method for the population to which the user belongs, calculates the disease risk for each of the plurality of diseases, determines the distribution, and determines the distribution. The final disease risk can be obtained by calculating whether it corresponds to the% position. Since the user's absolute risk of disease is affected by the number of markers to be considered, the absolute score itself is not meaningful, and the final score is calculated by making a relative score through comparison with the population to which the user belongs.

For example, as shown in FIG. 5, the disease risk acquisition unit 150 may calculate a disease risk for each of a plurality of diseases based on the user's genotype information.

The integrated risk acquisition unit 170 uses the disease risk for each of a plurality of diseases acquired through the disease risk acquisition unit 150 and a weight set in advance for each of the plurality of diseases, and calculates the integrated risk for the selected disease category. Acquire.

Here, the weight may represent a ratio of a corresponding disease within the selected disease category. The proportion of the disease within the selected disease category is at least one of the number of patients with the disease, the rank of the disease, the mortality due to the disease, the mortality of the disease, the recurrence rate of the disease, the degree of inheritance of the disease, and the number of genetic markers of the disease. It can be obtained based on information. For example, if weights are calculated based on the number of patients with diseases through national cancer registration statistics and data from the Health Insurance Review and Assessment Service, as shown in FIG. 6, weights for each disease can be obtained.

을 통해 선택된 질병 카테고리에 대한 통합 위험도를 획득할 수 있다.That is, the integrated risk acquisition unit 170 is the formula

Through this, the integrated risk for the selected disease category can be obtained.

Here, n represents the number of diseases belonging to the lower level of the selected disease category, w represents the weight for the disease, and R represents the disease risk of the disease.

For example, assuming the disease risk and weight as shown in FIG. 7, the user's integrated risk for all disease categories is "0.97", and the user's integrated risk for the "cancer and tumor diseases" disease category is "2.95" ", and the user's integrated risk for the "digestive disease" disease category is "2.05", the user's integrated risk for the "nervous system disease" disease category is "0.81", and the "circulatory and respiratory diseases" disease category The user's integrated risk for is "0.82".

In addition, the integrated risk acquisition unit 170 may convert the integrated risk for the selected disease category into a relative value compared to the corresponding integrated risk of other users in the group to which the user belongs.

That is, the integrated risk acquisition unit 170 calculates the same method for the population to which the user belongs, calculates the integrated risk for the selected disease category of the user, determines the distribution, and allows the user to be relatively It is possible to obtain the final integrated risk by calculating what% of the position. Since the absolute integrated risk of a user is affected by the number of diseases to be considered, the absolute score itself is not meaningful, and the final score is calculated by making a relative score through comparison with the population to which the user belongs. The integrated risk can also be expressed as a relative health level of each user.

For example, if the integrated risk for all disease categories of the user occupies the top 15% of the ranking within the corresponding population, it can be presented as 100-15 = 85 points. A score closer to 100 indicates that the integrated risk (integrated susceptibility) for the disease category is low, and a score closer to 0 indicates that the integrated risk (integrated susceptibility) for the disease category is high.

The risk visualization unit 190 is based on the disease risk for each of a plurality of diseases belonging to the lower level of the selected disease category and the integrated risk for the selected disease category acquired through the integrated risk acquisition unit 170, the user's risk level. By image patterning, the risk level image information may be provided to the user terminal 200 of the user.

In this case, the risk visualization unit 190 may pattern the image of the user's risk in one of a circle shape, a triangle shape, a square shape, and an organ shape by using a preset color for each risk score. Here, the preset color for each risk score may be “red” when the risk level according to the risk score is “high”, “yellow” when it is “medium”, and “blue” when it is “low”.

In addition, the risk visualization unit 190 uses one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, obtains a color for each visualization unit based on a preset color for each risk score, and determines the user's risk. Visualization can be performed for each visualization unit. Here, the visualization unit may be a line, a circle, or a polygon.

For example, when the visualization unit is "line", the high rate of risk rating among all diseases is 13% (red), the middle rate is 38% (yellow), and the low rate is 49% (blue), As shown in (a), the user's risk can be image patterned in a circle shape, and as shown in (b) of FIG. 8, the user's risk level can be image patterned in an organ shape.

The risk image information obtained by image patterning the risk level as described above can be used in various fields as shown in FIG. 9.

Then, a method of calculating and visualizing an integrated risk for a disease category according to a preferred embodiment of the present invention will be described with reference to FIG. 10.

10 is a flowchart illustrating a method of calculating and visualizing an integrated risk for a disease category according to a preferred embodiment of the present invention.

Referring to FIG. 10, the integrated risk calculation and visualization apparatus 100 obtains a disease risk for each of a plurality of diseases belonging to a lower level of a disease category selected by a user from among disease category information based on the user's genotype information. (S110).

In this case, the integrated risk calculation and visualization apparatus 100 may convert the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs.

Then, the integrated risk calculation and visualization apparatus 100 acquires the integrated risk for the selected disease category by using the disease risk for each of the plurality of diseases and a weight set in advance for each of the plurality of diseases (S130).

을 통해 선택된 질병 카테고리에 대한 통합 위험도를 획득할 수 있다.That is, the integrated risk calculation and visualization device 100

Through this, the integrated risk for the selected disease category can be obtained.

Here, n represents the number of diseases belonging to the lower level of the selected disease category, w represents the weight for the disease, and R represents the disease risk of the disease.

In addition, the integrated risk calculation and visualization apparatus 100 may convert the integrated risk for the selected disease category into a relative value compared to the corresponding integrated risk of other users in the group to which the user belongs.

Thereafter, the integrated risk calculation and visualization apparatus 100 forms the image pattern of the user's risk based on the disease risk for each of the plurality of diseases and the integrated risk for the selected disease category, and transmits the image information to the user terminal 200 It can be provided (S150).

In this case, the integrated risk calculation and visualization apparatus 100 may pattern the user's risk in one of a circle shape, a triangle shape, a square shape, and an organ shape using a preset color for each risk score.

In addition, the integrated risk calculation and visualization device 100 uses one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, obtains a color for each visualization unit based on a preset color for each risk score, and You can visualize the risk of each visualization unit.

The present invention can also be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tapes, floppy disks, and optical data storage devices.

Although the preferred embodiments of the present invention have been described in detail above, the present invention is not limited to the specific preferred embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the following claims. Anyone with ordinary knowledge can implement various modifications, as well as such modifications will be within the scope of the description of the claims.

100: integrated risk calculation and visualization device,
110: storage unit, 130: communication unit,
150: disease risk acquisition unit, 170: integrated risk acquisition unit,
190: risk visualization unit,
200: user terminal,
300: communication network

Claims (21)

A storage unit for storing disease category information in which diseases are hierarchically grouped;
A disease risk acquisition unit for acquiring a disease risk for each of a plurality of diseases belonging to a lower level of a disease category selected by the user from among the disease category information based on the user's genotype information; And
An integrated risk acquisition unit for acquiring an integrated risk level for the selected disease category by using a disease risk level for each of the plurality of diseases acquired through the disease risk level acquisition unit and a weight set in advance for each of the plurality of diseases;
Integrated risk calculation and visualization device for disease categories, including. In claim 1,
The disease category information includes a top node that is an entire disease category, a plurality of bottom nodes consisting of individual diseases, and a plurality of intermediate nodes that are disease categories to which the plurality of bottom nodes belong,
Integrated risk calculation and visualization device for disease categories. In claim 1,
The weight represents a proportion of the disease in the selected disease category,
Integrated risk calculation and visualization device for disease categories. In paragraph 3,
The proportion of the disease within the selected disease category is at least one of the number of patients with the disease, the rank of the disease, the mortality due to the disease, the severity of the disease, the recurrence rate of the disease, the degree of inheritance of the disease, and the number of genetic markers of the disease. Acquired based on one piece of information,
Integrated risk calculation and visualization device for disease categories. In claim 1,
The disease risk obtaining unit converts the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs,
Integrated risk calculation and visualization device for disease categories. In claim 1,
The integrated risk obtaining unit converts the integrated risk of the selected disease category into a relative value compared to the corresponding integrated risk of other users of the group to which the user belongs,
Integrated risk calculation and visualization device for disease categories. In claim 1,
The integrated risk acquisition unit, formula

To obtain the integrated risk for the selected disease category through,
Wherein n represents the number of diseases belonging to the lower level of the selected disease category,
The w represents the weight for the disease,
R represents the disease risk of the disease,
Integrated risk calculation and visualization device for disease categories. In claim 1,
Based on the disease risk for each of the plurality of diseases belonging to the lower level of the selected disease category and the integrated risk for the selected disease category acquired through the integrated risk acquisition unit, the user's risk is image-patterned and the A risk visualization unit for providing risk image information to a user terminal of a user;
Integrated risk calculation and visualization device for a disease category further comprising a. In clause 8,
The risk visualization unit patterns the image of the user's risk in one of a circle shape, a triangular shape, a square shape, and an organ shape using a preset color for each risk score,
Integrated risk calculation and visualization device for disease categories. In claim 9,
The risk visualization unit obtains a color for each visualization unit based on a preset color for each risk score, using one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, and visualizes the user's risk. To visualize unit by unit,
Integrated risk calculation and visualization device for disease categories. As an integrated risk calculation and visualization method for disease categories performed by an integrated risk calculation and visualization device including a storage unit storing disease category information in which diseases are hierarchically grouped, a disease risk acquisition unit, and an integrated risk acquisition unit. ,
Obtaining, by the disease risk obtaining unit, a disease risk for each of a plurality of diseases belonging to a lower level of a disease category selected by the user from among the disease category information, based on the genotype information of the user; And
Obtaining, by the integrated risk acquisition unit, an integrated risk for the selected disease category by using a disease risk for each of the plurality of diseases and a weight set in advance for each of the plurality of diseases;
Integrated risk calculation and visualization method for disease categories, including. In clause 11,
The disease category information includes a top node that is an entire disease category, a plurality of bottom nodes consisting of individual diseases, and a plurality of intermediate nodes that are disease categories to which the plurality of bottom nodes belong,
Integrated risk calculation and visualization method for disease categories. In clause 11,
The weight represents a proportion of the disease in the selected disease category,
Integrated risk calculation and visualization method for disease categories. In claim 13,
The proportion of the disease within the selected disease category is at least one of the number of patients with the disease, the rank of the disease, the mortality due to the disease, the severity of the disease, the recurrence rate of the disease, the degree of inheritance of the disease, and the number of genetic markers of the disease. Acquired based on one piece of information,
Integrated risk calculation and visualization method for disease categories. In clause 11,
The disease risk obtaining step, wherein the disease risk obtaining unit converts the disease risk acquired for each of the plurality of diseases into a relative value compared to the corresponding disease risk of other users of the group to which the user belongs,
Integrated risk calculation and visualization method for disease categories. In clause 11,
In the step of obtaining the integrated risk, the integrated risk obtaining unit converts the integrated risk for the selected disease category into a relative value compared to the corresponding integrated risk of other users of the group to which the user belongs,
Integrated risk calculation and visualization method for disease categories. In clause 11,
In the step of obtaining the integrated risk, the integrated risk obtaining unit,

It consists in obtaining the integrated risk for the selected disease category through,
Wherein n represents the number of diseases belonging to the lower level of the selected disease category,
The w represents the weight for the disease,
R represents the disease risk of the disease,
Integrated risk calculation and visualization method for disease categories. In clause 11,
The integrated risk calculation and visualization device further includes a risk visualization unit,
The risk visualization unit may pattern the user's risk by image patterning the user's risk based on a disease risk for each of the plurality of diseases belonging to a lower level of the selected disease category and an integrated risk for the selected disease category. Providing risk image information to a terminal;
Integrated risk calculation and visualization method for the disease category further comprising. In paragraph 18,
In the providing of the image information, the risk visualization unit is configured to pattern the user's risk in one of a circle shape, a triangle shape, a square shape, and an organ shape using a preset color for each risk score,
Integrated risk calculation and visualization method for disease categories. In paragraph 19,
In the providing of the image information, the risk visualization unit obtains a color for each visualization unit based on a preset color for each risk score, using one of an individual disease, a plurality of diseases, and one disease category as a visualization unit, Consisting of visualizing the risk of the user for each visualization unit,
Integrated risk calculation and visualization method for disease categories. A computer program stored in a computer-readable recording medium in order to execute the integrated risk calculation and visualization method for the disease category according to any one of claims 11 to 20 on a computer.

Images