KR101653502B1 - Computing apparatus and method for providing classifying of mibyoug - Google Patents
Computing apparatus and method for providing classifying of mibyoug Download PDFInfo
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- KR101653502B1 KR101653502B1 KR1020150125510A KR20150125510A KR101653502B1 KR 101653502 B1 KR101653502 B1 KR 101653502B1 KR 1020150125510 A KR1020150125510 A KR 1020150125510A KR 20150125510 A KR20150125510 A KR 20150125510A KR 101653502 B1 KR101653502 B1 KR 101653502B1
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Abstract
Description
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.
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
The
For this purpose, the disease-
For example, the disease-
For example, the
Meanwhile, the disease-
The disease-
Meanwhile, the
In addition, the disease-
Specifically, the disease-
2 is a view for explaining a disease-
The
In one embodiment, the
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
For example, the
More specifically, the
[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
&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
The
The
Next, the
As another example, the
On the other hand, the
As a specific example, the subject A can register as a member on a web page related to the disease-
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-
The disease-
At this time, when the disease-
FIG. 3 is a
The
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 (15)
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.
Wherein,
And classifies the infectious disease from the database using the corrected circulatory function parameter and the sas constitution information of the subject.
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.
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.
Wherein,
And finally classifies the infectious disease based on the sasang constitution of the subject among the classified infectious diseases.
Wherein the cardiovascular circulation function parameter comprises at least one of a subject's stroke volume and a cardiac output.
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.
Wherein,
And trains the reference data using the micro virus of the subject.
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).
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:
- 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 one-minute cardiac output of the subject is corrected using the cardiovascular circulation function parameters.
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;
≪ / RTI >
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 &
≪ / RTI >
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 &
≪ / RTI >
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
≪ / RTI >
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:
- 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-
Is used to correct the 1-minute cardiac output of the subject in the cardiovascular circulation function parameters.
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JP2011519704A (en) * | 2008-05-12 | 2011-07-14 | カーディオ・アート・テクノロジーズ・リミテッド | Method and system for monitoring health status |
KR20130024535A (en) * | 2011-08-31 | 2013-03-08 | 한국 한의학 연구원 | Apparatus and method for determining health state using pulse wave |
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