KR102320133B1 - Apparatus and method for predicting occurrence of coronary atherosclerosis - Google Patents

Abstract

The present invention provides a process of receiving information of a subject for a plurality of factors, a process of calculating a score for the possibility of occurrence of coronary atherosclerosis of the subject based on the information, and the score is less than a first score And when included in the mid-score section corresponding to the second score or higher, it provides a method for predicting the occurrence of coronary atherosclerosis, including a process of guiding the examinee to perform an arteriosclerosis test.

Description

Apparatus and method for predicting occurrence of coronary atherosclerosis

Embodiments of the present invention relate to an apparatus and method for predicting the occurrence of coronary atherosclerosis.

As cardiovascular diseases are rapidly increasing in modern society, interest in methods to prevent them is increasing. In particular, as workers suddenly die from myocardial infarction without any preceding symptoms or prognosis in the workplace, prevention of cardiovascular diseases, including myocardial infarction, has become an important issue.

On the other hand, the existing heart disease prediction method was a model for predicting cardiovascular disease targeting middle-aged or elderly people. However, since about half of myocardial infarctions occur suddenly without preceding symptoms, there is a problem in that the existing cardiovascular disease prediction models cannot predict in advance such sudden myocardial infarction.

Therefore, prior to the prediction of cardiovascular disease, a model for predicting the occurrence and progression of coronary atherosclerosis, which is the previous stage of cardiovascular disease including myocardial infarction, is needed.

The present invention has been devised to improve the above problems, and an object of the present invention is to provide an apparatus and method for predicting the occurrence of coronary atherosclerosis.

However, these problems are exemplary, and the scope of the present invention is not limited thereto.

A method for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention includes a process in which a device including at least one processor receives information of a subject for a plurality of factors, and based on the information , the process of calculating a score for the possibility of the occurrence of coronary atherosclerosis of the examinee, and when the score is included in the mid-score section corresponding to less than the first score and higher than the second score, so that the examinee performs the arteriosclerosis test Guidance may be included.

According to an embodiment of the present disclosure, the method may further include receiving a result of the arteriosclerosis test of the subject when the score is included in the mid-score section.

According to an embodiment, the method includes a process of classifying the subject into a high-risk group for coronary atherosclerosis when the score is included in a high-score section corresponding to the first score or more, and the score is the second score When included in the low-score section corresponding to less than, the step of classifying the test subject into a low-risk group for coronary atherosclerosis may be further included.

According to one embodiment, in the method, when the score is included in the mid-score section and the result of the arteriosclerosis test is positive, classifying the test subject into the high-risk group, and the score is included in the mid-score section and when the result of the arteriosclerosis test is not positive, the method may further include classifying the test subject into a moderate risk group for coronary atherosclerosis.

According to an embodiment, the method includes a process of guiding an arteriosclerosis test to be performed every time a specified period passes and receiving the result of the arteriosclerosis test when the subject is classified into the moderate risk group; If the result is positive, the method may further include reclassifying the test subject into the high-risk group, and if the input result is not positive, maintaining the test subject as the moderate-risk group.

According to an embodiment, the method may further include guiding management corresponding to each classification based on classifying the subject into the high-risk group, the moderate-risk group, or the low-risk group.

According to an embodiment, the information of the examinee on the plurality of factors may be obtainable only through a questionnaire, measurement of height and weight, and a blood test.

According to an embodiment, the plurality of factors may include an apolipoprotein B (Apolipoprotein B) level.

According to an embodiment, the plurality of factors may further include age, family history of cardiovascular disease, diabetes, smoking, body mass index, HDL cholesterol level, and LDL cholesterol level.

According to an embodiment, the method includes, before the process of receiving the information of the subject for the plurality of factors, the process of first performing the evaluation of the cerebrovascular disease risk of the Korea Occupational Safety and Health Agency, and the evaluation It may include a process of receiving information of the test subject for the plurality of factors only for the test subject corresponding to the risk group, the process of calculating the score, and the process of performing the process of guiding.

According to an embodiment, among the plurality of pieces of information of the examinee for the plurality of factors, when the examinee is diabetic, when the blood pressure of the examinee is 90 mmHg - 140 mmHg or more, and when the apolipoprotein B level of the examinee is 130 or more , may have the highest weight in the process of calculating the score.

The electronic device for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention includes at least one processor, wherein the at least one processor receives information of a subject for a plurality of factors, Based on the information, a score for the possibility of occurrence of coronary atherosclerosis of the examinee is calculated, and when the score is included in a mid-score section corresponding to less than the first score and more than the second score, the examinee is tested for arteriosclerosis can guide you to do it.

A non-transitory computer-readable storage medium according to an embodiment of the present invention includes an operation of receiving information of a subject for a plurality of factors; An operation of calculating a score for the possibility of occurrence of coronary atherosclerosis of the examinee based on the information, and when the score is included in an intermediate score section corresponding to less than the first score and greater than or equal to the second score, the examinee One or more programs may be stored for executing an action guiding to perform the hardening test.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to an embodiment of the present invention made as described above, it is possible to predict the occurrence and progression of coronary atherosclerosis, which is a previous stage of cardiovascular disease, and guide management accordingly.

In particular, it is possible to predict the occurrence of coronary atherosclerosis before the occurrence and guide the management accordingly.

Of course, the scope of the present invention is not limited by these effects.

1 illustrates an example of a functional configuration of an electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention.
2 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary artery hardening according to an embodiment of the present invention.
3 shows scores (weights) according to blood pressure of a subject among a plurality of factors according to an embodiment of the present invention.
4 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention.
5 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. Effects and features of the present invention, and a method of achieving them, will become apparent with reference to the embodiments described below in detail in conjunction with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when described with reference to the drawings, the same or corresponding components are given the same reference numerals, and the overlapping description thereof will be omitted. .

In the following embodiments, terms such as first, second, etc. are used for the purpose of distinguishing one component from another, not in a limiting sense.

In the following examples, the singular expression includes the plural expression unless the context clearly dictates otherwise.

In the following embodiments, terms such as include or have means that the features or components described in the specification are present, and the possibility of adding one or more other features or components is not excluded in advance.

In the following embodiments, when components are connected, it includes not only cases in which the components are directly connected, but also cases in which other components are interposed between the components to be indirectly connected.

1 illustrates an example of a functional configuration of an electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention.

The electronic device 10 for predicting the occurrence of coronary atherosclerosis may include, for example, a computer device, a portable communication device, a tablet PC, a smartphone, and the like, but is not limited thereto.

Referring to FIG. 1 , an electronic device 10 may include at least one of a processor 11 , a display device 12 , an input device 13 , and a memory 14 . The memory 14 may store, for example, a program 15 for predicting the occurrence of coronary atherosclerosis.

However, the present invention is not limited thereto, and some components may be omitted or other components may be added to the electronic device 10 . For example, the display device 12 or the input device 13 may be omitted. For another example, the electronic device 10 may further include a communication module or the like.

According to an embodiment of the present invention, the electronic device 10 receives the subject's information on a plurality of factors, and receives a risk group (eg, a low-risk group, a moderate-risk group, High-risk groups) can be identified and related information can be provided.

However, the present invention is not limited thereto, and the electronic device 10 according to an embodiment may receive the information of the examinee and generate a coronary atherosclerosis occurrence prediction model for selecting a risk group corresponding to the subject. . For example, in order to generate the model, the electronic device 10 uses predictive factors of coronary arteriosclerosis as input data for learning and an arteriosclerosis test (eg, CT scan) result as output data for learning, so as to optimize predictive factors , and a weight or a point of the predictors can be calculated. The electronic device 10 may generate a coronary atherosclerosis occurrence prediction model using the selected optimal predictive factors and their weights (or scores). The generated model may be implemented in the program 15 .

The electronic device 10 may use the model generated as described above to predict the degree of risk of coronary atherosclerosis of the examinee and provide a guide accordingly. Hereinafter, the function or operation of each component of the electronic device 10 related thereto will be described in detail.

The processor 11 may execute, for example, software or a program 15 to perform various data processing or operations. The data processing or calculation stores the subject's information input with respect to a plurality of factors in order to predict the occurrence of coronary atherosclerosis, and calculates a score for the possibility of the subject's occurrence of coronary atherosclerosis based on the information and classifying and storing the test subject into a corresponding risk group according to the calculated score, and data processing or calculation for guiding subsequent management accordingly. The processor 11 loads the received command or data into the memory 14 (eg, volatile memory) based on a user input or the like, processes the stored command or data, and stores the resultant data into the memory 14 (eg, non-volatile memory). memory) can be stored.

The memory 14 may store various data used by the electronic device 10 or the processor 11 . The data may include, for example, input data or output data for software (eg, the program 15 ) for predicting the occurrence of coronary atherosclerosis and commands related thereto. Memory 14 may include volatile memory or non-volatile memory. According to an embodiment of the present invention, the memory 14 may store the program 15 for predicting the occurrence of coronary atherosclerosis.

The program 15 may implement a coronary atherosclerosis occurrence prediction model generated using the optimal predictive factors selected according to an embodiment of the present invention and their weights (or scores). The program 15 may implement and provide a user interface (UI) that receives information of a subject for a plurality of factors, identifies a risk group corresponding to the subject, and provides information related thereto.

The input device 13 may receive a command or data to be used by the electronic device 10 or the processor 11 from the outside (eg, a user) of the electronic device 10 . The input device 13 may include, for example, at least one of a mouse, a keyboard, and a touch screen. According to an embodiment of the present invention, the input device 13 may be used to input information of a subject for a plurality of factors.

The display device 12 may visually provide information to the outside (eg, a user) of the electronic device 10 . The display device 12 may include, for example, a display. According to an embodiment of the present invention, the display device 12 displays a user interface (UI) that receives information of a subject for a plurality of factors or identifies and displays a risk group corresponding to the subject. can do.

Although not shown, the electronic device 10 may further include other components. For example, the electronic device 10 may further include a communication module (not shown). The communication module may receive information or data of the test subject, and may transmit information on a risk group to which the test subject corresponds to another electronic device.

Various embodiments of the present invention are software including one or more instructions stored in a storage medium (eg, memory 14 or external memory) readable by a machine (eg, electronic device 10). (eg, program 15). For example, the processor 11 of the electronic device 10 may call one or more instructions stored from a storage medium and execute them. This enables the electronic device 10 to perform a function according to the called commands. A storage medium readable by a device (eg, the electronic device 10 ) may be provided in the form of a non-transitory storage medium.

The method according to various embodiments of the present invention may be provided by being included in a computer program product. Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)), or distributed through an application store (eg Play Store™) or online (eg, downloaded or uploaded).

2 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary artery hardening according to an embodiment of the present invention. The operations of FIG. 2 may be performed, for example, by the processor 11 of the electronic device 10 .

Referring to FIG. 2 , in S201 , the electronic device 10 may receive information of a subject for a plurality of factors.

According to an embodiment, a plurality of factors are optimal predictors for predicting the occurrence of coronary atherosclerosis, including age, family history of cardiovascular disease, diabetes, blood pressure, smoking, body mass index, HDL cholesterol level, LDL cholesterol level, and It may include at least one of apolipoprotein B (Apolipoprotein B) levels. For example, the input of blood pressure may be omitted.

Accordingly, the subject's information on the plurality of factors includes the age of the subject, the family history of the subject, whether the subject is diabetes, blood pressure of the subject, smoking history of the subject, body mass index of the subject, HDL cholesterol level of the subject, LDL cholesterol numerical values, and apolipoprotein B levels.

According to an embodiment, information of the examinee on the plurality of factors may be obtained only through a questionnaire, a basic physical examination (eg, measurement of height, weight, and blood pressure), and a blood test. Among the multiple factors, age, family history, and smoking can be obtained through a questionnaire, blood pressure and body mass index can be obtained through a basic physical examination, and diabetes, HDL cholesterol level, LDL cholesterol level, and apolipoprotein B level can be obtained through a blood test possible.

Therefore, according to the present invention, without performing a detailed coronary artery examination (eg, coronary artery CT, carotid artery ultrasound, echocardiography, etc.), only a questionnaire, a basic physical examination, and a blood test can primarily determine the degree of risk of coronary atherosclerosis of the examinee. It is predictable, and it is possible to determine whether an arteriosclerosis test is necessary.

For example, the electronic device 10 executes the program 15 to receive the examinee's information on the plurality of factors, and through the display device 12 , the examinee's information on each of the plurality of factors A user interface (UI) for receiving input may be displayed. The electronic device 10 may receive information of the subject for each of a plurality of factors through the input device 13 (eg, a mouse, a keyboard, a touch screen, etc.).

For another example, the electronic device 10 may receive, through the program 15 , a questionnaire file and/or a physical examination file of the subject in the form of data, or may receive blood test result data.

The form in which the electronic device 10 receives the information of the subject for the plurality of factors is not limited.

In S202 , the electronic device 10 may calculate a score for the possibility of occurrence of coronary atherosclerosis of the examinee based on the inputted information about the examinee. For example, the program 15 may store a weight (or score) according to the information of the examinee for each of a plurality of factors. The electronic device 10 may calculate a total score by adding weights (or scores) according to information of the examinee for each of the plurality of factors through the program 15 . In this document, 'score' indicates the likelihood or risk of coronary atherosclerosis.

Hereinafter, according to an embodiment of the present invention, a plurality of factors (eg, age, family history, diabetes, blood pressure, smoking, body mass index, HDL cholesterol level, LDL cholesterol level, and apolipoprotein B level) for each test subject Describe the score according to the information of

age score under 34 0 35 - 39 years old One 40 - 44 years old 2 45+ 3

Table 1 shows scores (weights) according to the age of the examinee among a plurality of factors according to an embodiment of the present invention.

family history score not applicable 0 Applicable 2

Table 2 shows scores (weights) according to the family history of cardiovascular disease of the examinee among a plurality of factors according to an embodiment of the present invention.

diabetes score not applicable 0 prediabetes 2 or 3 diabetes 8

Table 3 shows scores (weights) according to whether the test subject has diabetes among a plurality of factors according to an embodiment of the present invention.

smoking score not applicable 0 smoking in the past 2 currently smoking 7

Table 4 shows scores (weights) according to the smoking history of the examinee among a plurality of factors according to an embodiment of the present invention.

body mass index score 25 or more and less than 27 One 27 or more and less than 30 3 30 or more 4

Table 5 shows scores (weights) according to the body mass index of the examinee among a plurality of factors according to an embodiment of the present invention.

HDL cholesterol level score ≥ 40 0 < 40 2

Table 6 shows scores (weights) according to the HDL cholesterol level of a test subject among a plurality of factors according to an embodiment of the present invention.

LDL cholesterol level score < 130 0 130 - 159 2 160 - 189 4 ≥ 190 5

Table 7 shows the scores (weights) according to the LDL cholesterol level of the examinee among a plurality of factors according to an embodiment of the present invention.

Apolipoprotein B levels score < 80 0 80 - 89 3 90 - 109 5 110 - 129 7 ≥ 130 8

Table 8 shows the scores (weights) according to the test subject's apolipoprotein B level among a plurality of factors according to an embodiment of the present invention.

Also, FIG. 3 shows scores (weights) according to blood pressure of a subject among a plurality of factors according to an embodiment of the present invention.

Referring to Tables 1 to 8 and FIG. 3 , among a plurality of pieces of information of a subject possible for a plurality of factors, if the subject is diabetic, if the subject's blood pressure is 90 mmHg - 140 mmHg or more, and apolipoprotein B level of the subject A case in which is 130 or more may have the highest weight in predicting the occurrence of coronary atherosclerosis. Next, the case where the apolipoprotein B level is 110 - 129 may have the next highest weight. However, the present invention is not limited thereto.

In the process of calculating the score by the electronic device 10 in S202, based on the subject's information, the weights (scores) shown in Tables 1 to 8 and FIG. 3 are added to the total score for the possibility of occurrence of coronary atherosclerosis of the subject. shows the process of calculating

In S203 , when the score is included in a high-score section corresponding to the first score or more, the electronic device 10 may classify the subject as a high-risk group for coronary atherosclerosis.

In S205 , when the score is included in a mid-score section corresponding to a second score or more that is less than the first score, the electronic device 10 may classify the test subject as a moderate risk group for coronary atherosclerosis.

In S204 , when the score is included in the low score section corresponding to less than the second score, the electronic device 10 may classify the test subject as a low risk group for coronary atherosclerosis.

The first score is a higher score than the second score. According to an embodiment of the present invention, the first score may be 25 points, and the second score may be 20 points.

Although not shown, according to an embodiment of the present invention, the electronic device 10 may classify the examinee into the ultra-low risk group when the total score of the examinee is less than a third score that is lower than the second score. In this case, the subject may be classified into one of four risk groups.

When the electronic device 10 classifies the examinee into the high-risk group, the moderate-risk group, or the low-risk group, the identification information of the examinee and the information on the risk group to which the examinee corresponds are matched and stored in the memory 14 . may include The electronic device 10 may match and store the identification information of the examinee with the risk group, and then provide information for managing cardiovascular health of the examinee or provide a notification based on the stored information.

In S206 , when the subject is classified as a moderate risk group, the electronic device 10 may guide the arteriosclerosis test to be performed. The operation of the electronic device 10 for guiding the arteriosclerosis test is, for example, a user interface (UI), a window, or an object through which the arteriosclerosis test result can be input through the display device 12 . An operation of further displaying (object) may be included. The arteriosclerosis examination may include a coronary artery CT examination, a carotid artery ultrasound examination, or an echocardiography examination.

Although not shown, the electronic device 10 may classify a subject into one of a high-risk group, a moderate-risk group, or a low-risk group, and then guide management accordingly. The 'guide' may include, for example, displaying information for managing cardiovascular health through the display device 12 , displaying a user interface for receiving subsequent symptoms, and the like, and is limited thereto. it's not going to be

For example, when classified as a high-risk group, the electronic device 10 may guide the subject to strong smoking cessation, guide monitoring of cardiovascular-related symptoms and angina symptoms, and bring emergency medicines when dispatched abroad. can guide

For example, if it is classified as a moderate risk group, as in S206, it may be guided to perform an arteriosclerosis test, for example, it may guide to perform an arteriosclerosis test every time a specified period passes. The specified period may be three years. According to an embodiment of the present invention, by performing an arteriosclerosis test on a subject classified as a moderate-risk group, the occurrence of coronary atherosclerosis in a subject who was not classified as a high-risk group in the blind spot in the existing cardiovascular disease prediction model can be predicted. .

For example, when classified as a low-risk group, the electronic device 10 may guide education for maintaining health of the subject and may guide lifestyle management.

4 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention. The operations of FIG. 4 may be performed, for example, by the processor 11 of the electronic device 10 . The operations of FIG. 4 may be continued in a step subsequent to S202 of FIG. 2 .

Referring to FIG. 4 , steps S202 , S203 , S204 , S205 , and S206 are the same as those described in FIG. 2 , and thus will be omitted, and only the operations added in FIG. 2 will be described.

As described above, in S206 , the electronic device 10 may guide an arteriosclerosis test to a subject classified as a moderate risk group. For example, the electronic device 10 may display a user interface (UI), a window, or an object through which an arteriosclerosis test result can be input through the display device 12 .

In S407 , the electronic device 10 may receive an arteriosclerosis test result of an examinee classified as a moderate risk group. For example, the electronic device 10 may receive at least one of a CT calcification image, an ultrasound image, numerical data, a data analysis result, and a diagnosis result through the user interface, the window, or the object.

In S408 , the electronic device 10 may determine, based on the input test result data, whether the test result of the test subject's arteriosclerosis is positive. If positive, the electronic device 10 may reclassify the test subject as a high-risk group. If it is identified as not positive, the electronic device 10 may maintain the classification of the test subject as a moderate risk group.

Although not shown, the electronic device 10 may repeat operations S407, S408, and S409 (or S203) every time a specified period (eg, 3 years) elapses with respect to subjects classified as a moderate risk group. . For example, the electronic device 10 may provide a notification to test subjects classified into the moderate risk group to perform the arteriosclerosis test whenever the specified period passes. In addition, the electronic device 10 receives the result of the arteriosclerosis test of the subject every time the specified period passes, and if the result is positive, the test subject is reclassified as a high-risk group, and if the input result is not positive, the test subject is The process of maintaining the moderate-risk group can be repeated.

5 illustrates an example of the operation of the electronic device 10 for predicting the occurrence of coronary atherosclerosis according to an embodiment of the present invention. The operations of FIG. 5 may be performed before S201 of FIG. 2 .

Referring to FIG. 5 , the electronic device 10 may first perform a cerebrovascular disease risk assessment by the Korea Occupational Safety Health Agency (KOSHA) prior to the operations shown in FIG. 2 ( S501). The KOSHA cerebrovascular disease risk assessment may be performed by the electronic device 10 , but is not limited thereto.

According to an embodiment, the electronic device 10 may receive only the result of the KOSHA cerebrovascular disease risk assessment. For example, the electronic device 10 may receive data on whether each subject is a high-risk group, a moderate-risk group, or a low-risk group as a result of the KOSHA cerebrovascular disease risk assessment for each subject.

In S502 , the electronic device 10 may determine whether an arbitrary subject is a moderate risk group as a result of the KOSHA cerebrovascular disease risk assessment. When the test subject is in the KOSHA cerebrovascular disease high-risk group or the low-risk group, the electronic device 10 may proceed to S503 and perform an operation corresponding thereto. For example, in S503 , the electronic device 10 may guide management corresponding to the KOSHA cerebrovascular disease high-risk group or guide the management corresponding to the KOSHA cerebrovascular disease low-risk group.

However, if the subject in S502 is a moderate risk group as a result of the KOSHA cerebrovascular disease risk assessment, it is difficult to prevent sudden death due to myocardial infarction, etc., even if managed according to the existing legal management standards.

Accordingly, according to an embodiment of the present invention, if the subject is a moderate risk group as a result of the KOSHA cerebrovascular disease risk assessment in S502, the electronic device 10 proceeds to S201, and the coronary artery according to the embodiment of the present invention. The process of predicting the occurrence of hardening can proceed. That is, when the subject is a moderate risk group as a result of the KOSHA cerebrovascular disease risk assessment, the electronic device 10 classifies the risk group for the occurrence of coronary atherosclerosis of the subject in more detail as described with reference to FIGS. 2 to 4 . In this case, if they are classified as a moderate risk group, atherosclerosis examination may be performed periodically.

Therefore, the method for predicting coronary atherosclerosis according to the present invention enables more detailed classification and management of subjects to be tested. In addition, subjects who are actually at high risk of developing arteriosclerosis but cannot be managed because they are not evaluated as high-risk groups in the KOSHA cerebrovascular disease risk assessment can be reclassified as high-risk groups. Through this, it is possible to find subjects who are in the blind spot of KOSHA cerebrovascular disease risk assessment, proactively manage risk factors at an early stage, and prevent coronary atherosclerosis in advance.

However, FIG. 5 is only one embodiment of the present invention, and according to an embodiment of the present invention, the operations of FIG. 5 may be omitted and may be started from S201. When the operations of FIG. 5 are omitted, the operations of FIG. 2 may be independently performed irrespective of the KOSHA cerebrovascular disease risk assessment result.

Although the present invention has been described with reference to one embodiment shown in the drawings, it will be understood that this is merely exemplary, and that those of ordinary skill in the art can make various modifications and variations therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

Claims (20)

A device comprising at least one processor,
A process of inputting the subject's information about a plurality of factors,
The process of calculating a score for the possibility of occurrence of coronary atherosclerosis of the subject based on the information;
When the score is included in the high-score section corresponding to the first score or more, the process of classifying the subject into a high-risk group for coronary atherosclerosis;
When the score is included in the mid-score section corresponding to less than the first score and higher than the second score, guiding the examinee to perform an arteriosclerosis test;
After the process of calculating the score, if the score is included in the mid-score section, further comprising the step of receiving the result of the arteriosclerosis test of the examinee as an input;
After the process of receiving the result of the arteriosclerosis test,
When the score is included in the mid-score section and the result of the arteriosclerosis test is positive, the process of classifying the test subject into the high-risk group;
When the score is included in the mid-score section and the result of the arteriosclerosis test is not positive, further comprising the step of classifying the test subject into a moderate risk group for coronary atherosclerosis,
A method for predicting the occurrence of coronary atherosclerosis. delete According to claim 1,
When the score is included in the low-score section corresponding to less than the second score, further comprising the step of classifying the subject into a low-risk group for coronary atherosclerosis,
A method for predicting the occurrence of coronary atherosclerosis. delete According to claim 1,
a process of guiding an arteriosclerosis test to be performed whenever a specified period passes when the subject is classified into the moderate risk group and receiving the results of the arteriosclerosis test as an input;
If the input result is positive, reclassifying the test subject to the high risk group, and if the input result is not positive, further comprising the process of maintaining the test subject in the moderate risk group,
A method for predicting the occurrence of coronary atherosclerosis. 4. The method of claim 3,
Based on classifying the test subject into the high-risk group, the moderate-risk group, or the low-risk group, further comprising a process of guiding management corresponding to each classification,
A method for predicting the occurrence of coronary atherosclerosis. According to claim 1,
The subject's information on the plurality of factors can be obtained only through a questionnaire, height and weight measurement, and blood test,
A method for predicting the occurrence of coronary atherosclerosis. According to claim 1,
The plurality of factors, including apolipoprotein B (Apolipoprotein B) levels,
A method for predicting the occurrence of coronary atherosclerosis. 9. The method of claim 8,
The plurality of factors are
further including age, family history of cardiovascular disease, diabetes, smoking, body mass index, HDL cholesterol levels, and LDL cholesterol levels,
A method for predicting the occurrence of coronary atherosclerosis. According to claim 1,
Before the process of receiving the information of the subject for the plurality of factors, the process of first performing the evaluation of the risk of cerebrovascular disease by the Korea Occupational Safety Health Agency (KOSHA);
In the evaluation, only for the subject corresponding to the moderate risk group, the process of receiving the subject's information on the plurality of factors, the process of calculating the score, and the process of performing the guiding process,
A method for predicting the occurrence of coronary atherosclerosis. According to claim 1,
Among the plurality of pieces of information of the examinee for the plurality of factors, if the subject is diabetes, if the subject's blood pressure is 90 mmHg - 140 mmHg or higher, and if the subject's apolipoprotein B level is 130 or higher, the score is calculated having the highest weight in the process,
A method for predicting the occurrence of coronary atherosclerosis. at least one processor; and
display device; including;
the at least one processor,
receiving the information of the subject for a plurality of factors,
Based on the information, calculating a score for the possibility of occurrence of coronary atherosclerosis of the subject,
When the score is included in the high-score section corresponding to the first score or more, the test subject is classified as a high-risk group for coronary atherosclerosis,
When the score is included in the mid-score section corresponding to less than the first score and higher than the second score, guide the examinee to perform an arteriosclerosis test,
After calculating the score, when the score is included in the intermediate score section, controlling the display device to display at least one of a user interface, a window, or an object for receiving the result of the arteriosclerosis test of the examinee;
After receiving the results of the arteriosclerosis test,
When the score is included in the mid-score section and the result of the arteriosclerosis test is positive, the test subject is classified as a high-risk group for coronary atherosclerosis,
When the score is included in the mid-score section and the result of the arteriosclerosis test is not positive, classifying the test subject into a moderate risk group for coronary atherosclerosis,
An electronic device for predicting the occurrence of coronary atherosclerosis. delete delete 13. The method of claim 12,
the at least one processor,
When the subject is classified into the moderate risk group, guides to perform an arteriosclerosis test every time a specified period passes, and receives the result of the arteriosclerosis test as an input;
If the input result is positive, the test subject is reclassified into the high risk group, and if the input result is not positive, the test subject is maintained in the moderate risk group,
An electronic device for predicting the occurrence of coronary atherosclerosis. 13. The method of claim 12,
The subject's information on the plurality of factors can be obtained only through a questionnaire, height and weight measurement, and blood test,
An electronic device for predicting the occurrence of coronary atherosclerosis. 13. The method of claim 12,
The plurality of factors are
including apolipoprotein B (Apolipoprotein B) levels;
further comprising one or more of age, family history of cardiovascular disease, diabetes, smoking, body mass index, HDL cholesterol level, and LDL cholesterol level,
An electronic device for predicting the occurrence of coronary atherosclerosis. 13. The method of claim 12,
the at least one processor,
Prior to the process of receiving the subject's information for the plurality of factors, the Korea Occupational Safety and Health Agency (KOSHA) first performs a cerebrovascular disease risk assessment,
For only the subject corresponding to the moderate risk group in the evaluation, the process of receiving the subject's information on the plurality of factors, the process of calculating the score, and the process of guiding,
An electronic device for predicting the occurrence of coronary atherosclerosis. 13. The method of claim 12,
Among the plurality of pieces of information of the examinee for the plurality of factors, if the subject is diabetes, if the subject's blood pressure is 90 mmHg - 140 mmHg or higher, and if the subject's apolipoprotein B level is 130 or higher, the score is calculated having the highest weight in the process,
An electronic device for predicting the occurrence of coronary atherosclerosis. A non-transitory computer-readable storage medium comprising:
An operation of receiving the information of the subject for a plurality of factors;
an operation of calculating a score for the possibility of occurrence of coronary atherosclerosis of the subject based on the information;
When the score is included in the high-score section corresponding to the first score or more, classifying the test subject into a high-risk group for coronary atherosclerosis;
an operation of guiding the subject to perform an arteriosclerosis test when the score is included in the intermediate score section corresponding to less than the first score and higher than the second score;
After the process of calculating the score, when the score is included in the intermediate score section, an operation of receiving the result of the arteriosclerosis test of the subject;
After the operation of receiving the result of the arteriosclerosis test,
When the score is included in the mid-score section and the result of the arteriosclerosis test is positive, classifying the test subject into the high-risk group;
When the score is included in the mid-score section and the result of the arteriosclerosis test is not positive, non-temporary for storing one or more programs for executing an operation of classifying the test subject into a moderate risk group for coronary atherosclerosis A computer-readable storage medium.

Images