KR101653502B1

KR101653502B1 - Computing apparatus and method for providing classifying of mibyoug

Info

Publication number: KR101653502B1
Application number: KR1020150125510A
Authority: KR
Inventors: 이시우; 이영섭; 진희정; 박만영; 박기현
Original assignee: 한국 한의학 연구원
Priority date: 2015-06-12
Filing date: 2015-09-04
Publication date: 2016-09-09
Also published as: KR101785788B1; KR20160146465A; WO2016200243A1

Abstract

The present invention relates to an illness symptom classification process assisting computing device and a method thereof. According to an embodiment, an illness symptom classification device comprises: an operation unit configured to correct a cardiovascular circulation function parameter, collected from a target person, based on body information of the target person; and a processing unit configured to classify illness symptoms by using the corrected circulation function parameter from a database storing reference data including comparison information of a heath group and an illness symptom group per a cardiovascular circulation function parameter.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a computing device and a method for assisting classification of micro-

There is provided a computing device and a method of operating the same that process data of cardiovascular circulation function monitoring results such as one-time cardiac output, cardiac output per minute,

Due to the increase in the elderly population and the improvement in the living standards due to industrial development, the interest in preventive medicine that aims to keep health before the disease is treated in medical treatment after the disease is getting bigger.

According to the World Health Organization (WHO), 'health' is defined as a state of physical, mental, and social well-being and not simply a condition without disease or weakness. On the other hand, 'infectious disease' is an intermediate stage between health and disease, and can be interpreted as a kind of health condition that can be caused by illness if neglected.

In Korean medicine, the definition of "microbe" is slightly different for each country or researcher, but it emphasizes preventive medicine thought rather than common disease treatment.

On the other hand, the pulse wave is a curve for describing the pulse wave of the artery and vein, which is a value for analyzing the wavelength appearing when the blood flows through the blood vessel in the heart. Through the pulse wave, the relationship between the heart and the blood can be grasped.

Korean Patent Registration No. 10-1462318

Using the results of cardiovascular circulation monitoring, a system for classifying infectious diseases of Oriental medicine is presented.

A system is proposed that improves the accuracy of a subject's disease assessment by correcting the cardiac output and the cardiac output per minute using the subject's height, weight, sex, and constitution.

A system is proposed that can improve the accuracy by tracing the reference data used in the virulence classification using newly added clinical data.

According to one aspect, a virgin sorting auxiliary device is provided that is at least temporarily implemented by a computer. According to one embodiment, the microinvasive assisting apparatus includes: a calculator that corrects cardiovascular circulatory function parameters collected from a subject based on body information of the subject, and a comparison unit that compares the health group and the diseased group by cardiovascular circulation function parameters And a processor for classifying the infectious disease using the corrected circulation function parameter from a database storing the reference data.

The processing unit according to an embodiment classifies the infectious disease from the database using the corrected circulatory function parameter and the sas constitution information of the subject.

The processing unit according to an embodiment determines the sasang constitution information of the subject based on the identification information for each sasang constitution inputted from the user terminal, and classifies the infiniti sickness using the determined sasang constitution information.

The processing unit according to an embodiment diagnoses the sasang constitution of the subject using a diagnostic tool to determine the sasang constitution information and classifies the infectious disease using the determined sasang constitution information.

The processing unit according to an embodiment finally classifies the infectious disease based on the sasang constitution of the subject among the classified infectious diseases.

The cardiovascular circulation function parameter according to one embodiment includes at least one of a subject's stroke volume and a cardiac output.

The body information of the subject includes at least one of the key and the weight of the subject and the calculating unit reflects the key of the subject to the one cardiac output and corrects the cardinal output of the subject according to the one minute cardiac output And reflects the height and weight of the subject.

The processing unit according to an embodiment traces the reference data by using a microblog of the classified target person.

The processing unit may be configured to apply at least one data mining technique among Classification and Regression Trees (CART), random forward, MNL, support vector machine (SVM), and neural network (NN) Classify the infectious disease.

According to another aspect, there is provided a method of assisting in the diagnosis of a virulent viricide performed by a computer. The method according to one embodiment includes the steps of: calibrating cardiovascular circulatory function parameters collected from a subject based on the subject's body information, and storing reference data including contrast information of healthy and unaffiliated groups according to cardiovascular circulatory function parameters And classifying the infectious disease using the corrected circulation function parameter from the database.

The step of classifying the infectious disease according to an embodiment includes classifying the infectious disease from the database using the corrected circulatory function parameter and the sage constitution information of the subject.

The step of classifying the infectious disease according to an embodiment includes the steps of: determining the sasial constitution information of the subject based on the identification information for each sasang constitution inputted from the user terminal; and classifying the infectious disease by using the determined sasang constitution information .

According to an embodiment of the present invention, the step of classifying the infectious disease includes the steps of diagnosing the sasang constitution of the subject using a diagnostic tool to determine the sasang constitution information, and classifying the infectious disease using the determined sasformation constitution information .

The classifying the incontinence according to an embodiment includes final classifying the incontinence based on the sasang constitution of the subject among the classified incontinence.

The disease severity classification program according to an embodiment includes an instruction set for correcting cardiovascular circulatory function parameters collected from a subject based on body information of the subject and a reference set including reference information of health groups and uncontrolled groups according to cardiovascular circulation function parameters And classifying the infectious disease using the corrected circulating function parameter from a database storing the infectious disease.

According to the embodiments, cardiovascular circulatory function monitoring results can be used to classify virulent diseases of Oriental medicine.

According to the embodiments, it is possible to improve the accuracy of the subject's disease evaluation by correcting the cardiac output and the cardiac output per minute using the subject's key, weight, sex, body composition, and the like.

It is possible to improve the accuracy by tracing the reference data used in the microbial classification using the newly added clinical data.

1 is a view for explaining an overall system utilizing a virgin sorting apparatus according to an embodiment.
FIG. 2 is a view for explaining a virgin sorting apparatus according to an embodiment.
FIG. 3 is a view for explaining a disease-free evaluation and cardiovascular circulation function data collected for a non-diseased human. FIG.
4 is a view for explaining a virion classification method according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the rights is not limited or limited by these embodiments. Like reference symbols in the drawings denote like elements.

The terms used in the following description are chosen to be generic and universal in the art to which they are related, but other terms may exist depending on the development and / or change in technology, customs, preferences of the technician, and the like. Accordingly, the terminology used in the following description should not be construed as limiting the technical thought, but should be understood in the exemplary language used to describe the embodiments.

Also, in certain cases, there may be a term chosen arbitrarily by the applicant, in which case the meaning of the detailed description in the corresponding description section. Therefore, the term used in the following description should be understood based on the meaning of the term, not the name of a simple term, and the contents throughout the specification.

FIG. 1 is a diagram illustrating an overall system 100 that utilizes a virion classification device 150 according to one embodiment.

The entire system 100 can classify the microbiology of oriental medicine using the results of monitoring cardiovascular circulation function by utilizing the microbial classifier 150 according to one embodiment. In addition, by using the disease-free sorting device 150, the accuracy of the infinite disease evaluation of the subject can be improved by correcting the cardiac output and the cardiac output per minute using the subject's height, weight, sex, , It is possible to increase the accuracy by tracing the reference data used for the virulent classification using the newly added clinical data.

For this purpose, the disease-free classification device 150 according to an embodiment can collect information such as a cardiac output amount for one person, a cardiac output amount for one minute, a key, and a weight.

For example, the disease-free sorting device 150 according to an exemplary embodiment may measure the pulse wave, oxygen saturation, respiratory gas, indicator dilution, ultrasound, bio resistance, etc. of a subject measured using the cardiovascular circulation device 110 140).

For example, the smart terminal 140 may be interpreted as an object Internet terminal, and may receive various information measured from the subject in the vicinity of the subject and transmit the information to the disease-free classification device 150.

Meanwhile, the disease-free classification device 150 according to an embodiment can receive information of the subject's cardiac output and 1 minute cardiac output measured from the wearable band through the smart terminal 140. [ For example, if the wearable band can be connected to a wired / wireless network, the virgin sorting device 150 can receive information such as cardiac output and cardiac output directly from the wearable band.

The disease-free classification device 150 according to an embodiment may collect body shape information such as a subject's key and weight from the user terminal 130. For example, the user terminal 130 may transmit body shape information, such as a key and a weight, collected from the subject to the disease severing device 150 through a wired / wireless communication network. In addition, the user terminal 130 may transmit the body shape information such as the key and the weight collected from the subject to the smart terminal 140 using the local communication method.

Meanwhile, the user terminal 130 may be in the form of a measuring device capable of measuring a body shape of a subject other than a terminal such as a smart phone. At this time, the measuring device may be connected to a wired / wireless communication network or may include a communication module for short range wireless communication.

In addition, the disease-free classification device 150 according to an embodiment can further consider the sasang constitution of the subject along with the corrected one-time cardiac output and the one-minute cardiac output in the case of the vise-bottling-free classification.

Specifically, the disease-free classification device 150 according to an exemplary embodiment generates a parameter for evaluating a disease-free disease using the collected information, and classifies the disease-free disease for the subject from the database recorded as clinical data . At this time, the variable generated by the disease-free classification device 150 according to one embodiment can be interpreted as a value obtained by calibrating the cardiac output of one time and the cardiac output of one minute among the collected information using the key and the weight. This will be described in more detail below with reference to FIG.

2 is a view for explaining a disease-free classification apparatus 200 according to an embodiment.

The viraticity classification device 200 according to one embodiment includes an operation unit 210 and a processing unit 220.

In one embodiment, the operation unit 210 corrects the cardiovascular circulation function parameters collected from the subject based on the subject's body information.

The collected cardiovascular circulatory function parameters may include at least one of a subject's stroke volume and a cardiac output.

Stroke Volume or 1 minute cardiac output is an index to predict blood circulation health. It is an index that can confirm the increase of blood circulation obstruction factors and weakening of heart function.

Cardiac output is a condition in which patients with heart failure or those with related clinical symptoms are unable to provide the necessary amount of blood for metabolism due to a deterioration in cardiac function resulting in pulmonary congestion, congestion, and reduced cardiac output The clinical symptoms such as dyspnea, edema and fatigue may be accompanied by these changes, which are related to cardiac output. These associations have been reported in a number of published studies (Yoo, BS, Ph.D., Ph.D., Ph.D., Nursing. 12 (1), 2009).

However, in order to check the physical condition of the individual on a daily basis before receiving specialist medical care, the cardiovascular circulation function cardiac index is used to classify the infectious disease as meaningful have.

The operation unit 210 can correct the subject's body information to improve the accuracy of the uncylindoma classification for one stroke volume and one minute cardiac output.

For example, the arithmetic operation unit 210 can correct the heart rate by reflecting the subject's key to the cardiac output amount, and correcting the one-minute cardiac output amount by reflecting the subject's height and weight.

More specifically, the operation unit 210 can correct the stroke volume at one time based on Equation (1).

[Equation 1]

In this case, V5 is the corrected stroke volume, V1 is the stroke volume of the subject, and V3 can be interpreted as the subject's key.

The operation unit 210 may correct the stroke volume based on Equation (2).

&Quot; (2) "

In this case, V6 is the corrected 1 minute cardiac output (mL), V2 is the 1 minute cardiac output (L / min) of the subject, and V3 can be interpreted as the subject's key (m) , And V4 can be interpreted as the subject's weight (kg).

In one embodiment, the processing unit 220 uses the calibrated circulation function parameters to classify infectious diseases. Specifically, the processing unit 220 may classify the infirmary from the database storing the reference data including the contrast information of the healthy group and the diseased group for each cardiovascular function parameter, and utilize the corrected circulation function parameter.

The processing unit 220 may apply a data mining method using a virgin classification algorithm such as classification and regression trees (CART), random forward, MNL, support vector machine (SVM), and neural network (NN) .

The processing unit 220 according to an embodiment can classify the infirmary from the database using the calibrated function parameters and the syllable information of the subject. To this end, the processing unit 220 may determine the sasang constitution information of the subject based on the identification information for each sasang constitution input from the user terminal, and classify the infectious disease using the determined sasang constitution information. That is, the processing unit 220 receives the sasang constitution from the user and can use the sasang constitution to classify the incomplete disease.

Next, the processing unit 220 according to an embodiment can diagnose the sasang constitution of the subject using the diagnostic tool, determine the sasang constitution information, and classify the infectious disease using the determined sasang constitution information.

As another example, the processing unit 220 may apply classification of the subject to final classification by classifying the diseased lesions in order to increase the accuracy of the sasang constitution after the infective lesion classification. That is, the processing unit 220 can finally classify the infectious disease based on the sasang constitution of the subject among the infectious diseases already classified.

On the other hand, the processing unit 220 can train the reference data using the infinite disease of the classified subject.

As a specific example, the subject A can register as a member on a web page related to the disease-free classification device 200, and can register the key, weight, and gender information when registering the membership. If you know the constitution, you can enter the constitution value, and if you do not know, you can run the constitution diagnostic tool. That is, the subject does not have to input the constitution value. That is, the subject can input the constitution information at a specific time during the use of the web page related to the infinite disease classifier.

The subject A measures the cardiac output per minute and the cardiac output per minute through the wearable band and transmits it to the disease severing device through the application of the smartphone or directly inputs the subject on the disease severing device.

It is possible to use a key and a weight inputted to the disease-free classification device 200, or to input a new key and a weight according to the judgment of the user.

The disease-free classification device 200 can perform a disease-less classification algorithm when one cardiac output, one minute cardiac output, key, and weight are input.

At this time, when the disease-free sorting device 200 is divided into one-time cardiac output (V1), one minute cardiac output (V2), one cardiac output (V5) Cardiac output (V6) can be utilized. In addition, the disease-free classification device 200 may display the result of classification of the subject's disease in the result window or the result sheet, and display the corresponding management method.

FIG. 3 is a diagram illustrating data 300 related to a vascular disease assessment and cardiovascular circulation function collected on non-diseased persons.

The data 300 is based on a vascular disease assessment and cardiovascular circulation function targeting non-disease patients. The cardiovascular circulation function was measured in 232 healthy subjects and 99 myopic subjects, and the cardiac output (320) and 1 minute The cardiac output (330) was derived, and the difference between the healthy and the uninvolved group was examined. The health group and the USF group were collected using the Unclassified Uncategorized Questionnaire of Korea Institute of Oriental Medicine.

The cardiac output at 1 minute showed a significant difference between the healthy group and the uninfected group. Especially, there was a significant difference at the taeumin group (310). In the case of 1 cardiac output, there was no statistical significance but it showed a tendency to decrease in the myopic group compared to the healthy group.

In the above data, we used an infectious disease diagnosis result and a cardiovascular function parameter to generate a microbial classification algorithm and test the accuracy. The bottleneck classification algorithm can be generated by data mining methods such as classification and regression trees (CART), random forward, MNL, support vector machine (SVM), and neural network (NN).

For example, the classification results are shown in Table 1 by classification of the classification data of CART (classification and regression trees), random forward, MNL, support vector machine (SVM), and neural network (NN).

[Table 1]

In the analysis, all the data were classified according to gender or soci- ety and then randomly assigned 70% to the training set and 30% to the test set to generate the training set The process of verifying the accuracy in a test set can be repeated 100 times.

The data in Table 1 represent the results of the quartiles and average values of the distributions of the accuracies tested in each of the virgin classification algorithms (CART, randomForest, MNL, SVM, NN) test sets.

Meanwhile, Table 2 below shows the result of classifying male males through all the data of FIG. 4 by the virgin classification algorithm.

[Table 2]

[Table 3] shows the result of classifying excitations among the entire data by the virgin classification algorithm.

[Table 3]

[Table 4] shows the result of classifying the taeeumin among the total data through the virgin classification algorithm.

[Table 4]

[Table 5] shows the result of classifying the so-called noise among all the data by the virgin classification algorithm.

[Table 5]

[Table 6] shows the result of classifying the Soyangin among the total data by the virgin classification algorithm.

[Table 6]

4 is a view for explaining a virion classification method according to an embodiment.

The virgin classifying method according to one embodiment collects cardiovascular circulation function parameters (step 401).

The cardiovascular circulation function parameter may include at least one of a subject's stroke volume and a cardiac output. Stroke Volume or 1 minute cardiac output is an index to predict blood circulation health. It is an index that can confirm the increase of blood circulation obstruction factors and weakening of heart function.

According to one embodiment, the virage classifying method corrects cardiovascular circulation function parameters based on the subject's body information (step 402).

For this purpose, the disease-free classification method can correct the cardiovascular circulatory function parameters using the subject's height, weight, sex, and the like.

The virginity classification method according to an embodiment classifies the virulent diseases using the corrected circulation function parameters (Step 403).

Specifically, the virulence classifying method classifies infectious diseases using calibrated circulatory function parameters from a database storing reference data including contrast information of healthy and uninfected groups according to cardiovascular function parameters. For example, the virulence classification method can classify virulent diseases from the database using corrected cyclic function parameters and subject's constitutional information to classify virulent diseases.

The virage classification method according to one embodiment can be applied to the virion classification by receiving the sasang constitution. That is, in the virage classifying method according to an embodiment, the sasang constitution information of the subject can be determined based on the identification information for each sasang constitution inputted from the user terminal, in order to classify the virgin sickness. In addition, the infectious disease can be classified using the determined sasformation information.

The virage classification method according to one embodiment can be applied to the virion classification by receiving the sasang constitution. It is possible to classify infectious diseases without directly inputting the sasang constitution.

To this end, the disease severity classification method according to one embodiment can diagnose the sasang constitution of the subject using the diagnostic tool, determine the sasang constitution information, and classify the infectious disease using the determined sasang constitution information.

The method according to one embodiment may classify the infectious disease according to the sasang constitution of the infant, among the infectious diseases classified after the infectious disease has been classified.

That is, the classification method of the infectious disease can be changed depending on the point at which the information about the sasang constitution is inputted.

Meanwhile, the virgin classification method according to one embodiment can use the classified result classification to train the reference data recorded in the database. That is, the accuracy of the reference data recorded in the database can be improved as the classification result for the infectious disease accumulates.

As a result, using the present invention, it is possible to classify infectious diseases of Oriental medicine using the results of monitoring cardiovascular circulation function. In addition, by correcting the cardiac output and the cardiac output per minute by using the subject's height, weight, sex, body composition, etc., the accuracy of the subject's subject disease assessment can be improved and the standard data Can be trained by using newly added clinical data to improve accuracy.

The method according to an embodiment of the present invention can be implemented in the form of a program command which can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the equivalents of the claims, as well as the claims.

Claims

Implemented at least temporarily by the computer:
An arithmetic unit for correcting cardiovascular circulatory function parameters collected from the subject based on the body information of the subject; And
A processor for classifying the infectious disease using the corrected circulation function parameter from a database storing reference data including the contrast information of the healthy group and the unaffected group for each cardiovascular circulatory function parameter;
Lt; / RTI >
The operation unit,

- V5 is the corrected cardiac output, V1 is the subject's cardiac output, V3 is the subject's key-
The stroke volume of the subject is corrected using the cardiovascular circulation function parameters,

- V6 is the corrected 1 minute cardiac output, V2 is the subject's 1 minute cardiac output, V3 is the subject's key, V4 is the subject's weight-
Wherein the cardiovascular circulation function parameter is used to classify a microcomputer that corrects a subject's 1-minute cardiac output.

The method according to claim 1,
Wherein,
And classifies the infectious disease from the database using the corrected circulatory function parameter and the sas constitution information of the subject.

3. The method of claim 2,
Wherein,
Determining sadicate constitution information of the subject based on identification information for each sasang constitution inputted from a user terminal and classifying the infinite sore using the determined sadformation constitution information.

3. The method of claim 2,
Wherein,
Wherein the diagnosis tool is used to diagnose the sasang constitution of the subject to determine the sasang constitution information and classify the infectious disease using the determined sasang constitution information.

The method according to claim 1,
Wherein,
And finally classifies the infectious disease based on the sasang constitution of the subject among the classified infectious diseases.

The method according to claim 1,
Wherein the cardiovascular circulation function parameter comprises at least one of a subject's stroke volume and a cardiac output.

The method according to claim 6,
Wherein the body information of the subject includes at least one of a height and a weight of the subject,
The operation unit,
Wherein the first cardiac output is corrected by reflecting the key of the subject, and the first cardiac output is corrected by reflecting the height and weight of the subject.

The method according to claim 1,
Wherein,
And trains the reference data using the micro virus of the subject.

The method according to claim 1,
Wherein,
Wherein at least one data mining technique is selected from at least one of classification and regression trees (CART), random forward, MNL, support vector machine (SVM), and neural network (NN).

CLAIMS 1. A method for performing a virion classification procedure performed non-uniformly by a computer, the method comprising:
The computer correcting cardiovascular circulation function parameters collected from the subject based on the subject's body information; And
Classifying the infectious disease by using the corrected circulating function parameter from a database storing reference data including the contrast information of the healthy group and the infected group by the cardiovascular circulation function parameter
Lt; / RTI >
Wherein the correcting comprises:

- V6 is the corrected 1 minute cardiac output, V2 is the subject's 1 minute cardiac output, V3 is the subject's key, V4 is the subject's weight-
Wherein the one-minute cardiac output of the subject is corrected using the cardiovascular circulation function parameters.

11. The method of claim 10,
Wherein classifying the infectious disease comprises:
Classifying the infectious disease from the database using the corrected circulatory function parameter and the sasial constitution information of the subject;
&Lt; / RTI >

12. The method of claim 11,
Wherein classifying the infectious disease comprises:
Determining the sasang constitution information of the subject based on identification information of each sasang constitution inputted from the user terminal; And
Wherein the computer classifies the infectious disease using the determined s < RTI ID = 0.0 > s < / RTI &
&Lt; / RTI >

12. The method of claim 11,
Wherein classifying the infectious disease comprises:
Diagnosing the sasang constitution of the subject using the diagnostic tool to determine the sasang constitution information; And
Wherein the computer classifies the infectious disease using the determined s < RTI ID = 0.0 > s < / RTI &
&Lt; / RTI >

11. The method of claim 10,
Wherein classifying the infectious disease comprises:
The computer finally classifying the infectious disease based on the sasang constitution of the subject among the classified infectious diseases
&Lt; / RTI >

CLAIMS WHAT IS CLAIMED IS: 1. A microblogging classification program stored on a recording medium, said program being executed in a computing system,
An instruction set for correcting cardiovascular circulatory function parameters collected from the subject based on the subject's body information; And
An instruction set for classifying the infectious disease by using the corrected circulation function parameter from a database storing reference data including contrast information of a healthy group and a non-infectious group for each cardiovascular function parameter;
Lt; / RTI >
Wherein the correcting instruction set includes:

- V6 is the corrected 1 minute cardiac output, V2 is the subject's 1 minute cardiac output, V3 is the subject's key, V4 is the subject's weight-
Is used to correct the 1-minute cardiac output of the subject in the cardiovascular circulation function parameters.