KR101820431B1 - Apparatus and method for visualizing disease - Google Patents

Abstract

Disclosed are an apparatus and a method for visualizing a disease. The present invention hierarchically visualizes an expected disease and a current disease of a user according to a risk degree. According to the present invention, the expected disease and current disease of the user are obtained based on medical information and genetic information of the user by using disease statistical information and related disease information which are previously constructed and the expected disease and current disease of the user are hierarchically visualized according to the expected disease and current disease of the user, so that the user can check diseases with high relevance to himself or herself at a glance.

Description

[0001] Apparatus and method for visualizing disease [

The present invention relates to an apparatus and method for visualizing a disease, and more particularly to an apparatus and method for hierarchically visualizing a user's possession disease and an expected disease according to a risk.

There is a concept called 4P medicine in medicine. This concept represents the goals of four medical innovations starting with P: predictive medicine, personalized medicine, preventive medicine and participatory medicine. In other words, it means that the era of preventing illness before approaching the hospital is not approaching. SNP (single nucleotide polymorphism) used in the identification of disease-predictive genetic testing for this preventive medicine is a study on the same SNP related to the same disease, but the odd ratio depends on the sample size, There is a problem that the understanding and the usefulness are inferior because there is a difference between the value and the research result. Therefore, it is necessary to develop technologies to prevent disease by using various big data for customized preventive medicine.

Korean Patent Laid-Open Publication No. 2014-0034994 (Korea University, Industry & University Collaboration Foundation) Apr. 21, 2014 Patent Document 1 discloses an apparatus and method for predicting the spread of disease based on social network service data. In Patent Document 1, Discloses a content of predicting and analyzing a diffusion situation and providing the prediction information.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an apparatus and method for visualizing a disease that visualizes a user's possession disease and an expected disease in a hierarchical manner according to a risk.

According to an aspect of the present invention, there is provided a disease visualization apparatus comprising: an acquiring unit acquiring a disease of a user and an expected disease of the user; And a visualization unit for hierarchically visualizing the hold disease and the anticipated disease acquired through the acquisition unit according to the risk.

Wherein the visualization unit distinguishes the risk level of each of the reserve disease and the anticipated disease on the basis of a plurality of predetermined risk levels and determines the risk of the reserve disease and the anticipated disease as a risk Can be hierarchically visualized.

The visualization unit may cause the diseases having different risk levels to be visually located in different layers so as to hierarchically visualize the holding disease and the expected disease according to the risk.

The visualization unit may use at least one of a circular shape, a polygonal shape, and a tree shape to hierarchically visualize the holding disease and the expected disease according to the risk.

And an information providing unit for providing the household disease information based on the holding disease of the user, the expected disease of the user, and the holding disease and the expected disease of the household member of the user.

And an information providing unit for providing life guide information that can prevent the expected disease based on the expected disease of the user.

The obtaining unit may obtain the holding disease of the user based on the user's care information.

The acquiring unit may acquire the expected disease of the user based on the genetic information of the user using the pre-established related disease information.

The obtaining unit may obtain the expected disease of the user based on the user's personal information using the pre-established disease statistical information.

According to an aspect of the present invention, there is provided a disease visualization method of a disease visualization apparatus, comprising: acquiring a disease of a user and an expected disease of the user; And hierarchically visualizing the acquired disease and the expected disease according to the risk.

Wherein the visualization step comprises the steps of: classifying the risk level of each of the reserve disease and the anticipated disease based on a plurality of predetermined risk levels, and analyzing the reserve disease and the expected disease based on the reserve disease and the risk level of the anticipated disease It can be done by hierarchical visualization according to the risk.

The visualization step may consist of visually differentiating the diseases with different risk levels to visualize the holding disease and the expected disease hierarchically according to the risk.

The visualization step may comprise at least one of a circular shape, a polygonal shape and a tree shape to visualize the holding disease and the expected disease hierarchically according to the risk.

And providing household disease information based on the holding disease of the user, the expected disease of the user, and the disease and anticipated disease of the household member of the user.

And providing life guide information that can prevent the expected disease based on the expected disease of the user.

The acquiring step may consist in acquiring the holding disease of the user based on the medical information of the user.

The acquiring step may comprise acquiring the expected disease of the user based on the genetic information of the user using the pre-established association disease information.

The obtaining step may be performed by using the pre-established disease statistical information to obtain the expected disease of the user based on the user's personal information.

According to an aspect of the present invention, there is provided a computer program for use in a computer readable recording medium, the computer program causing the computer to execute any one of the methods.

According to the apparatus and method for visualizing a disease according to the present invention, it is possible to acquire a user's possession disease and anticipated disease based on user's medical care information and genetic information by using pre-established related disease information and disease statistical information, By visually and hierarchically visualizing the expected disease and risk, users can see at a glance which diseases are most relevant to them.

1 is a block diagram illustrating a disease visualization apparatus according to a preferred embodiment of the present invention.
FIG. 2 is a block diagram showing the configuration of the disease visualization apparatus shown in FIG. 1 in more detail.
3 is a view for explaining an example of hierarchical visualization of a disease according to a preferred embodiment of the present invention.
4 is a diagram for explaining another example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.
5 is a diagram for explaining another example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.
6 is a diagram for explaining an actual expression example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.
7 is a flowchart illustrating a disease visualization method according to a preferred embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a disease visualization apparatus and method according to the present invention will be described in detail with reference to the accompanying drawings.

First, a disease visualization apparatus according to a preferred embodiment of the present invention will be described with reference to FIG.

1 is a block diagram illustrating a disease visualization apparatus according to a preferred embodiment of the present invention.

Referring to FIG. 1, the disease visualization apparatus 100 is connected to an external institution server 200 and a user terminal 300 through a communication network 400.

The disease visualization device 100 hierarchically visualizes the user's acquired disease and the expected disease according to the risk.

That is, the disease visualization apparatus 100 acquires the occupation disease currently possessed by the user, and predicts the expected disease that the user does not currently possess, thereby acquiring the expected disease. Here, the predicted disease includes not only diseases in which all or part of the body and mind can be prevented from failing to function as a primary or continuous disorder, but also physical characteristics and lifestyle used for diagnosis of diseases. For example, physical characteristics include blood pressure, blood lipid level, obesity, waist circumference, blood sugar level, oxidative stress, antioxidant, active oxygen, vitamin D (calcium) metabolism, hormone and bone density. Lifestyle habits include eating habits, exercise, smoking, and drinking.

Then, the disease visualization apparatus 100 visualizes the user's possession disease and the expected disease in a hierarchical manner according to the risk. In addition, the disease visualization apparatus 100 provides information that hierarchically visualizes the disease to the user terminal 300 through the communication network 400.

The external institution server 200 refers to a server operated by an external organization such as a medical service provider such as a hospital, a medical state institution such as the Ministry of Health and Welfare, and a medical public institution such as a health insurance examination and evaluation institution. The external institution server 200 can provide the user's medical care information, pre-established disease statistical information, etc. to the disease visualization apparatus 100 through the communication network 400.

Herein, the medical care information of the user refers to the information indicating the history that the user has been treated at the medical service provider. For example, the medical care information may include the name of the user, unique information (e.g., resident registration number) that can identify the user, information that allows the user to identify the medical care service provider treated by the user, Such as a disease that the user has, etc.).

In addition, the disease statistics information refers to various statistical information related to diseases that have been established for the purpose of establishing health care policies in medical or public health institutions. For example, disease statistics information may include age-based disease statistics, gender-based disease statistics, occupational disease statistics, and regional disease statistics.

The user terminal 300 may be connected to the disease visualization apparatus 100 through the communication network 400 to exchange various data.

That is, the user terminal 300 may provide personal information of the user, genetic information of the user, and the like to the disease visualization apparatus 100 through the communication network 400. Here, the personal information of the user includes the name of the user, unique information (e.g., resident registration number) that can identify the user, gender of the user, age of the user, residence of the user, job of the user, . The user's genetic information refers to the genomic information of the user. The genome represents the sum of genetic information composed of deoxyribonucleic acid (DNA), which is a compound word of genes and chromosomes. Dienes are the nucleotides to which sugars, calculations and bases are bound. Adenine (A), cytosine (C), guanine (G) and thymine (T) are the bases.

The user terminal 300 can display the information provided from the disease visualization apparatus 100 through the communication network 400.

The user terminal 300 may be a desktop computer, a notebook computer, a workstation, a palmtop computer, a UMPC (Ultra Mobile Personal Computer), a tablet PC, a personal digital assistant (PDA) A smart phone, a mobile phone, or the like, and a terminal equipped with a microprocessor and having computing capability.

The communication network 400 includes a data network as well as a telephone network including a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN) It does not matter whether it is wired or wireless, and it does not matter what communication method you use.

The disease visualization apparatus according to the preferred embodiment of the present invention will now be described in more detail with reference to FIG.

FIG. 2 is a block diagram showing the configuration of the disease visualization apparatus shown in FIG. 1 in more detail.

Referring to FIG. 2, the disease visualization apparatus 100 may include a communication unit 110, a storage unit 130, an acquisition unit 150, a visualization unit 170, and an information providing unit 190.

The communication unit 110 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 of the disease visualization apparatus 100. For example, the communication unit 110 can provide data received from the external institution server 200 or the user terminal 300 through the communication network 400 to other components of the disease visualization apparatus 100. The communication unit 110 may transmit data and the like provided from other components of the disease visualization apparatus 100 to the user terminal 300 through the communication network 400.

The storage unit 130 stores programs and data necessary for the operation of the disease visualization apparatus 100, and can be divided into a program area and a data area.

The program area includes a program for controlling the overall operation of the disease visualization apparatus 100, an operating system (OS) for booting the career development support apparatus 100, acquiring acquired diseases, obtaining an expected disease, , An application program necessary for the operation of the disease visualization apparatus 100 such as providing other information, and the like.

The data area is an area in which data generated according to the use of the disease visualization apparatus 100 is stored, and can store information related to the disease, a user's disease, a user's expected disease, and information obtained by hierarchically visualizing the disease.

Here, the related disease information refers to information obtained by dividing the disease according to the association stage based on the association between diseases. That is, the related disease information may include disease related to the related stage, gene information related to the disease, and the like. For example, an example of the disease associated with an association step according to the related disease information is shown in the following [Table 1].

Stage 1

Step 2

Step 3

Step 4

Physical characteristics

Primary association disease

Secondary Disease

Tertiary association disease

Blood pressure, obesity, blood lipid levels

Hypertension, hypotension, hypercholesterolemia

Coronary artery disease, thyroid disease

Stroke, myocardial infarction, angina pectoris, chronic renal failure
Blood glucose level

Insulin resistance

Type 2 diabetes

Retinopathy, nephropathy, neuropathy, peripheral arterial disease

Preferable eating habits, snack intake, exercise efficiency

Obesity, waist circumference, energy metabolism
Metabolic disease, elevation obesity
Various diseases

Oxidative Stress, Antioxidant, Active Oxygen

Aging speed, telomere length

Skin aging, biological aging

Various cancers

Vitamin D (calcium) metabolism, postmenopausal female hormone, parathyroid hormone

Bone density, osteoporosis

Vertebral fracture, thoracic fracture, hip (femur) fracture
Reduced pulmonary function, pulmonary embolism, deep vein thrombosis

The acquisition unit 150 acquires the user's possessed disease and the user's expected disease.

That is, the acquisition unit 150 may acquire the user's disease based on the medical information of the user. The acquiring unit 150 can acquire the holding disease, which is the disease that the user holds, based on the user's medical care information provided from the external institution server 200. [

The acquiring unit 150 may acquire the user's expected disease based on the genetic information of the user using the established association disease information. The acquiring unit 150 may acquire the user's expected disease based on the related disease information stored in the storage unit 130 and the genetic information of the user provided from the user terminal 300. [

In addition, the acquisition unit 150 can acquire the user's expected disease based on the user's personal information using the pre-established disease statistical information. The acquisition unit 150 can acquire the user's expected disease based on the disease statistical information provided from the external institution server 200 and the personal information of the user provided from the user terminal 300. [

The visualization unit 170 visualizes the acquired diseases and expected diseases of the user obtained through the acquisition unit 150 in a hierarchical manner according to the risk.

Here, the risk refers to information indicating a risk level of a disease to a user, and the risk level can be divided into a plurality of risk levels according to the risk level. For example, the risk level can be divided into a plurality of risk levels as shown in [Table 2] below.

Risk level

Name of risk level

Classification standard


High-risk level



Special attention is required.


An estimated disease obtained from the disease of the user, the related disease information, and an expected disease obtained from the disease statistical information, or a disease


Medium Risk Level



Please note


Two of the expected diseases obtained from the predicted disease and disease statistics information obtained from the related disease information,


Low risk level



Management required


Only one of the expected diseases obtained from the predicted disease and disease statistical information obtained from the related disease information

That is, the visualization unit 170 distinguishes between the risk level of each of the reserve disease and the anticipated disease based on a plurality of predetermined risk levels, and determines the reserve disease and the expected disease based on the risk level of the acquired disease and the expected disease, You can visualize it hierarchically. For example, the visualization unit 170 can classify the risk level of each of the holding disease and the anticipated disease as shown in [Table 3] below.

Disease name


Retention disease


Anticipated disease
(Related disease information)

Anticipated disease
(Statistics on Disease Statistics)

Risk level


Disease A

-

○

-

Low risk level

Disease B

○

○

○

High-risk level

Disease C

-

○

○

Medium Risk Level

Disease D

-

-

○

Low risk level

Disease E

-

○

-

Low risk level

At this time, the visualization unit 170 can visually position the diseases having different risk levels in different layers, thereby visually hierarchically visualizing the occupation diseases and the expected diseases according to the risk. For example, the visualization unit 170 visualizes the disease A, the disease D and the disease E, which are classified as low risk level, to be located at the same layer from each other, when the risk level of the expected disease is distinguished from the holding disease as shown in [Table 3] , Disease C classified into medium risk level is visualized to be located at a different level from low risk level and disease B classified into high risk level can be visualized to be located at a different level from low risk level and medium risk level have.

The visualization unit 170 can visualize the user's possessed diseases and anticipated diseases hierarchically according to the risk by using at least one of a circular shape, a polygonal shape, and a tree shape. For example, when visualizing the disease in a circular form, the visualization unit 170 visualizes disease classified into three circles having a larger diameter, a disease classified into a high-risk level in the circle having the smallest size, Visualize illnesses separated by levels, and visualize diseases classified as low risk levels in the largest size circle.

The information providing unit 190 provides the user terminal 300 with information that hierarchically visualizes the disease through the visualization unit 170.

In addition, the information provider 190 may provide home disease information to the user terminal 300 based on the user ' s disease and anticipated disease, as well as the occupational and presumed diseases of the user's household member. Here, the household member refers to the grandparent, the parent, and the child of the user. Household disease information refers to information that indicates the transfer of household members to a specific disease. Through this store information, the user can check whether the child inherited the household history of the specific disease and the risk of the disease.

Then, the information providing unit 190 can provide life guide information to the user terminal 300 that can prevent the expected disease based on the user's expected disease. Here, the living guide information may include various kinds of information that can prevent the disease. For example, the living guide information may include information such as lifestyle, diet, etc. that can prevent the expected disease and drug compatibility related to the expected disease.

The operation of hierarchically visualizing a disease according to a preferred embodiment of the present invention will now be described with reference to FIGS. 3 to 6. FIG.

The disease visualization apparatus 100 may use at least one of a circle shape, a polygonal shape, and a tree shape to visually visualize a user's possessed disease and an expected disease according to a risk.

3 is a view for explaining an example of hierarchical visualization of a disease according to a preferred embodiment of the present invention.

Referring to FIG. 3, the disease visualization apparatus 100 can visualize a user's disease and anticipated disease in a hierarchical manner according to a risk level using the original form, and provide the visualized disease to the user terminal 300.

That is, the disease visualization apparatus 100 visualizes the diseases D6, D7, D8, and D9 classified as the low-risk level to be located in the largest-sized original layer L3, D3, D4, and D5 are visualized to be located in a medium-sized original layer (L2), and D1, a disease classified into a high-risk level, can be visualized to be located in the smallest original layer (L1).

4 is a diagram for explaining another example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.

Referring to FIG. 4, the disease visualization apparatus 100 may hierarchically visualize a user's possession disease and an expected disease according to a risk level using a pentagon shape, and provide the user's terminal 300 with visualization.

That is, the disease visualization apparatus 100 visualizes D7, D8, D9, D10, and D11, which are classified as low risk level, to be located at the largest size of the pentagonal layer L3, D2, D3, D4, D5, and D6 are visualized to be located in the medium-sized pentagonal layer L2 and the disease D1 classified as the high-risk level can be visualized to be located in the smallest pentagonal layer L1 .

5 is a diagram for explaining another example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.

Referring to FIG. 5, the disease visualization apparatus 100 can hierarchically visualize a user's possession disease and an expected disease according to a risk level using a tree form, and provide the visualized result to the user terminal 300.

That is, the disease visualization apparatus 100 visualizes the disease D1 classified as the high-risk level to be located in the highest-level layer L1, and the diseases D2, D3, and D4 classified as the medium- And the diseases D5, D6, and D7 classified into the low-risk level can be visualized to be located in the lowest-level layer L3.

6 is a diagram for explaining an actual expression example of hierarchically visualizing a disease according to a preferred embodiment of the present invention.

Referring to FIG. 6, the disease visualization apparatus 100 can hierarchically visualize a specific user's possession disease and an expected disease according to the risk, using the original form, and provide the visualized user to the user terminal 300.

In other words, the disease visualization apparatus 100 can be used for the diagnosis of diseases classified into low risk level as D5 (dementia), D6 (arthritis), D7 (diabetes), D8 (stomach cancer), D9 And D12 (lack of exercise) are visualized to be located at the outermost layer, and D3 (cataract) and D4 (depression), which are classified as middle risk level, are visualized to be located in the middle layer, Distinguished diseases D1 (myocardial infarction) and D2 (hypertension) can be visualized to be located in the innermost layer.

A disease visualization method of the disease visualization apparatus according to a preferred embodiment of the present invention will now be described with reference to FIG.

7 is a flowchart illustrating a disease visualization method according to a preferred embodiment of the present invention.

Referring to FIG. 7, the disease visualization apparatus 100 acquires a user's acquired disease and an expected disease (S110). That is, the disease visualization apparatus 100 can acquire the disease of the user based on the medical information of the user. And, the disease visualization apparatus 100 can acquire the user's expected disease based on the genetic information of the user by using the established related disease information. In addition, the disease visualization apparatus 100 can acquire the user's expected disease based on the user's personal information using the pre-established disease statistical information.

Then, the disease visualization apparatus 100 hierarchically visualizes acquired acquired diseases and anticipated diseases according to the risk (S130). Here, the risk refers to information indicating a risk level of a disease to a user, and the risk level can be divided into a plurality of risk levels according to the risk level.

That is, the disease visualization apparatus 100 distinguishes between the risk level of each of the reserve disease and the anticipated disease based on a plurality of predetermined risk levels, and determines the risk of the stored disease and the expected disease based on the risk level of the acquired disease and the expected disease Can be hierarchically visualized. At this time, the disease visualization apparatus 100 allows the diseases having different risk levels to be visually located in different layers, thereby visually hierarchically visualizing the user's possession disease and the expected disease according to the risk. Then, the disease visualization apparatus 100 can visualize the user's disease and the expected disease hierarchically according to the risk, using at least one of a circle shape, a polygonal shape, and a tree shape.

Thereafter, the disease visualization apparatus 100 provides information that hierarchically visualizes the disease (S150).

In addition, the disease visualization apparatus 100 may provide the household disease information (S170). Here, the household disease information refers to information indicating the transfer of household members to a specific disease. In other words, the disease visualization apparatus 100 can provide the household disease information to the user terminal 300 based on the user's possession disease and anticipated disease, and the presumed disease and the presumed disease of the user's household member.

Then, the disease visualization apparatus 100 can provide life guide information (S190). Here, the living guide information may include various kinds of information that can prevent the disease. That is, the disease visualization apparatus 100 can provide life guide information to the user terminal 300 that can prevent the expected disease based on the user's expected disease.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer is stored. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device. In addition, the computer-readable recording medium may be distributed to computer devices connected to a wired / wireless communication network, and a computer-readable code may be stored and executed in a distributed manner.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the appended claims.

100: disease visualization apparatus, 110: communication unit,
130: storage unit, 150: acquiring unit,
170: visualization unit, 190: information providing unit,
200: external institution server, 300: user terminal,
400: communication network

Claims (19)

Acquiring the disease of the user based on the medical care information of the user, acquiring the expected disease of the user based on the genetic information of the user using the pre-established related disease information, and using the pre-established disease statistical information An acquiring unit acquiring the anticipated disease based on the personal information of the user; And
The method comprising: distinguishing a risk level of each of the presumed diseases and the retention disease acquired through the acquisition unit based on a plurality of preset risk levels; and diagnosing a disease having a different risk level based on the presumed disease risk level A visualization unit for visualizing the retention disease and the anticipated disease in a hierarchical manner according to the risk,
/ RTI >
The predetermined plurality of risk levels may be a disease corresponding to all three of the disease possessed by the user, the expected disease obtained from the established association disease information, and the expected disease acquired from the established disease statistics information, A high risk level indicative of the disease it has, a predicted disease obtained from established established disease information, and a predicted disease acquired from established disease statistics information. A low-risk level indicating a disease that is only one of the anticipated diseases obtained from the anticipated disease and pre-established disease statistical information obtained from the information. delete delete The method of claim 1,
Wherein the visualization unit uses at least one of a circular shape, a polygonal shape, and a tree shape to hierarchically visualize the holding disease and the expected disease according to the risk. The method of claim 1,
Further comprising an information providing unit for providing the household disease information based on the holding disease of the user, the expected disease of the user, and the holding disease and the expected disease of the household member of the user. The method of claim 1,
Further comprising an information providing unit for providing life guide information that can prevent the expected disease based on the expected disease of the user. delete delete delete A disease visualization method of a disease visualization apparatus including an acquisition unit, a visualization unit, and an information providing unit,
The acquiring unit acquires the disease of the user based on the medical information of the user and acquires the expected disease of the user based on the genetic information of the user using the established disease information, Acquiring the anticipated disease based on the user's personal information using the information; And
Wherein the visualization unit distinguishes between a risk level of each of the presumed diseases and the retention disease obtained based on a plurality of predetermined risk levels, and the disease having different risk levels based on the presumed disease risk level and the retention disease Visualizing the retention disease and the anticipated disease in a hierarchical manner according to the risk by visually locating them in different layers;
/ RTI >
The predetermined plurality of risk levels may be a disease corresponding to all three of the disease possessed by the user, the expected disease obtained from the established association disease information, and the expected disease acquired from the established disease statistics information, A high risk level indicative of the disease it has, a predicted disease obtained from established established disease information, and a predicted disease acquired from established disease statistics information. A low risk level representing a disease only in one of the anticipated diseases obtained from the anticipated disease and pre-established disease statistical information obtained from the information. delete delete 11. The method of claim 10,
Wherein the visualization step comprises visualizing the retention disease and the expected disease hierarchically according to the risk using at least one of the original shape, the polygonal shape and the tree shape. 11. The method of claim 10,
Wherein the information provider further comprises providing household disease information based on the hold disease of the user, the expected disease of the user, and the disease and anticipated disease of the household member of the user. 11. The method of claim 10,
Wherein the information provider further comprises providing life guide information that can prevent the expected disease based on the user ' s expected disease. delete delete delete 15. A computer program stored on a computer readable recording medium for causing a computer to execute the disease visualization method of any one of claims 10, 13,

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