• Title/Summary/Keyword: diagnosis system of oriental medicine

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A Proposal for Standardization of Tongue Diagnosis Based on Diagnostic Criteria of Tongue Coating Thickness (설진의 표준화를 위한 제언 : 설태 후박의 진단기준을 중심으로)

  • Son, Ji-Hee;Kim, Jin-Sung;Park, Jae-Woo;Ryu, Bong-Ha
    • The Journal of Internal Korean Medicine
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    • v.33 no.1
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    • pp.1-13
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    • 2012
  • Background : In oriental medicine, the status of the tongue is an important indicator to diagnose the condition of one's health, such as physiological and the clinicopathological changes of internal organs. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is greatly affected by examination circumstances, patient's posture, and doctor's diagnosis criteria. Objectives : This study was designed to assure the necessity for standardization of tongue diagnosis based on diagnostic criteria of tongue coating thickness (TCT). Methods : Thirty tongue photographs were acquired and analyzed by digital tongue diagnosis system (DTDS) which measured the percentage of TCT on the tongue surface. Fifteen oriental medical doctors evaluated TCT in 30 photographs. Afterward, the 15 assessors were trained for diagnostic criteria of TCT and evaluated the photographs again. The intraclass correlation coefficient (ICC) was used to obtain the agreement rate among the 15 assessors and the agreement rate between assessors' TCT scores and DTDS values. Results : The agreement rate among the 15 assessors after training was higher than before training. The agreement rate between assessors' TCT scores and DTDS values after training was also higher than before training. Furthermore, the difference of the agreement rate between before and after training was significant (p<0.05). Conclusions : The standardization of diagnostic criteria of TCT increased the agreement rate among the assessors and the agreement rate between assessors' TCT scores and DTDS values. Therefore, the standardization of diagnostic criteria is expected to contribute to the objectification and quantification of the tongue diagnosis system.

Reasoning and Learning Methods for Diagnosis in Oriental Medicine (한의 진단 추론과 진단 학습 방법)

  • Kim, Sang-Kyun;Kim, Jin-Hyun;Jang, Hyun-Chul;Kim, An-Na;Yea, Sang-Jun;Kim, Chul;Song, Mi-Young
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.5
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    • pp.942-949
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    • 2009
  • We in this paper propose the method for diagnosis patients through the reasoning based on the diagnosis ontology in oriental medicine. In prior studies, it is simply diagnosed with the information of main symptoms, optional symptoms, and tongue / pulse. In addition, ontology itself has subjective opinions of oriental medical doctors for patients in form of axioms. There is a problem in latter case that it is difficult for other oriental medical doctors to change knowledge within the ontology. In order to solve these problems, we have constructed the diagnosis ontology and the reasoning algorithm as followings: First, in order to raise the diagnosis accuracy, we constructed the diagnosis ontology with pattern identifications, main symptoms, optional symptoms, and tongue / pulse. We also utilize the diagnosis points described in the pathology textbook, which has been studied in all of domestic oriental medical colleges. This information is represented as OWL instances in ontology, not OWL axioms so that it can be easily updated. Second, we suggest the algorithms for diagnosis reasoning and learning method based on the ontology. We have implemented the reasoning and learning system according to the diagnosis algorithm. In future study, we will construct the diagnosis ontology with all of pattern identifications and symptoms within the pathology textbook.

Considerations on an Oriental Medical Doctor like Indentation System (한의사 맥진 가압력 재현에 대한 고찰)

  • Lee, Jeon;Woo, Young-Jae;Jeon, Young-Ju;Lee, Yu-Jung;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.14 no.3
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    • pp.113-119
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    • 2008
  • In pulse diagnosis, the indentation pressure is one of the most important factors as well as the change of pulse shape and the distribution of pressure via time. But, on the oriental medical doctor's indentation pressure control, the understandings of the neurophysiological meanings and mechanisms have been lacked. So, in this paper, we considered on these issues and then proposed a proper system which can imitate the OMD's indentation pressure control mechanisms. As a result, both tactile information and kinesthetic information were found to be essential to the indentation pressure control so that a system, which can measure both the physical indent pressure and the displacement of an indentation arm, has been proposed. With this proposed system, while the indentation was being controlled through the moving step number of the step motor, the physical indentation pres sure and displacement of the indentation arm were measured. From these measured data, the relationships between the moving step number and both physical indentation pressure and displacement were revealed to have linear characteristics in early phase and to have nonlinear characteristics in latter phase. Additionally, three types of graph were generated whose X axis means the moving step number, the physical indentation pressure and the displacement respectively and Y axis means the pulse pressure. By comparing these graphs, we come to conclude that different concepts on indentation pressure control cause different diagnostic results on floating/sinking degrees for the same subject. Consequently, an indentation system for the pulse diagnosis should be able to provide both the tactile information and kinesthetic information, that is, the physical indentation pressure and the displacement of the indentation arm. In future, the proposed system should be optimized to the pulse diagnosis environment and how to combine the both information for more reliable diagnosis should be studied.

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Study on Accuracy of DSOM Diagnosis about Uterus Myoma Patients (자궁근종 치료환자를 대상으로 한 DSOM 진단정확도에 대한 연구)

  • Um, Yun-Kyung;Kim, Jong-Won;Ji, Gyu-Yong;Lee, Yong-Tae;Kim, Gyu-Gon;Lee, In-Seon
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.3
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    • pp.740-747
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    • 2006
  • This study was undertaken to clinically inspect the accuracy of DSOM-diagnosis System of Oriental Medicine, which were used for the object diagnosis of oriental medicine in the dept. of oriental OB&GY, oriental medical hospital of Dong-Eui University- about uterus myoma patients. We analyzed the prescription and consequence of diagnosis about 16 patients -who had uterus myoma, were treated more than one month, were improved in myoma size, dysmenorrhea, menorrhagia- in the oriental medical hospital of Dong-Eui University from January to December 2004. The calculation consequence of disease mechanism was as follows. The stagnation of Ki(氣滯), liver(肝), heart.(心) was 10 patients 71.4%, some deficiency(虛證), wet syndrome(濕), cold syndrome(寒) was 9 patients 64.3%, blood stasis(血奈) was 8 patients 57.1%. The agreement of consequence about DSOM and diagnosis was 13 patients, 92.9%.

A Study for 8 Constitution Medicine Diagnosis Expert System Development (8체질의학을 위한 진단 전문가 시스템 개발 및 고찰)

  • Shin, Yong-Sup;Park, Young-Bae;Park, Young-Jae;Kim, Min-Yong;Oh, Hwan-Sup
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.12 no.1
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    • pp.142-184
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    • 2008
  • Background: There was seldom study about method that diagnose 8 Constitution beside method of pulse diagnosis in 8 Constitution Medicine. Objectives: This study is to make out 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning). Methods: First, at case base construction process we constructed case base for CBR embodiment because gathering 925 cases all to patient who constitution is verified, and second, at study model establishment process superior expert system development by purpose CBR of reasoning process dividing fundamental type CBR that spend basis data value and expert type I II III CBR that reflect weight in basis data value according to advice expert opinion, and third, system embodiment process explained about way to give process and weight that diagnose constitution through Nearest Neighbor Method sampling process of CBR techniques, and fourth, at system estimation process we selected superior CBR model because comparing and estimate the diagnosis rate of expert system with fundamental type system (GECBR) model and expert type I II III CBR system (AVCBR, AACBR, AGCBR) model that reflect expert opinion in fundamental type system. GECBR and AGCBR chose on superior study model. Through such 4 study process, we developed 8 constitution diagnosis expert system lastly. Results: 1. When we select GECBR that is fundamental type by reasoning system, diagnosis rate 78.91% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 90.4%, Cholecystonia 63.0%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 71.2%, Colonotonia 74.4%, Renotonia 37.5%, Vesicotonia 67.1% expect. 2. When we select AGCBR that is expert type III by reasoning system, diagnosis rate 77.51% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 93.4%, Cholecystonia 58.5%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 73.1%, Colonotonia 64.4%, Renotonia 41.7%, Vesicotonia 72.2% expect. Conclusion: Based on this study, 8 constitution diagnosis expert system may give help to diagnose 8 constitution, and it is going to utilize as objective estimation tool of 8 constitution diagnosis, and further study for 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning) is needed to supplement this study.

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Study on the Practical 3D Facial Diagnosis using Kinect Sensors (키넥트 센서를 이용한 실용적인 3차원 안면 진단기 연구)

  • Jang, Jun-Su;Do, Jun-Hyeong;Kim, Jang-Woong;Nam, Jiho
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.29 no.3
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    • pp.218-222
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    • 2015
  • Facial diagnosis based on quantitative facial features has been studied in many Korean medicine fields, especially in Sasang constitutional medicine. By the rapid growing of 3D measuring technology, generic and cheap 3D sensors, such as Microsoft Kinect, is popular in many research fields. In this study, the possibility of using Kinect in facial diagnosis is examined. We introduce the development of facial feature extraction system and verify its accuracy and repeatability of measurement. Furthermore, we compare Sasang constitution diagnosis results between DSLR-based system and the developed Kinect-based system. A Sasang constitution diagnosis algorithm applied in the experiment was previously developed by a huge database containing 2D facial images acquired by DSLR cameras. Interrater reliability analysis result shows almost perfect agreement (Kappa = 0.818) between the two systems. This means that Kinect can be utilized to the diagnosis algorithm, even though it was originally derived from 2D facial image data. We conclude that Kinect can be successfully applicable to practical facial diagnosis.

Development and Evaluation of Repeatability of the Integrated Constitutional Diagnosis System (통합 체질진단 시스템 개발 및 반복성 평가)

  • Jeon, Young-Ju;Kim, Jang-Woong;Kim, Jae-Uk;Bae, Jang-Han;Kim, Jong-Yeol;Kim, Keun-Ho
    • Journal of Sasang Constitutional Medicine
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    • v.24 no.3
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    • pp.34-41
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    • 2012
  • Objectives In this study, we developed a mock-up of the system for Sasang Constitutional (SC) diagnosis. This system consists of 5 devices which are the face analyzer, the voice analyzer, the skin analyzer, the pulse analyzer, and the computer-based questionnaire. Our goal is to evaluate the repeatability of the system. Methods Each device is capable of classifying SC types. The classification probability of the integrated system for the SC types was obtained by summing the probability from each device. For evaluating the repeatability of the system, we collected data for 5 subjects, and repeated the measurement three times for each individual. The average and standard deviation were used for calculating the Coefficient of Variation. Results The results showed that the repeatability of the classification probability of the integrated system is about 8%, which implies the system is repeatable. Conclusions To increase usability of this system, it is desirable for the system to offer information on health condition of the user. The integrated constitutional diagnosis system will be upgraded to complement the convenience and to develop the diagnostic algorithm for the user's health condition.

Computational Methods for Traditional Korean Medicine : A survey (한의 정보의 계산적 방법 조사)

  • Kim, Sang-Kyun;Jang, Hyun-Chul;Kim, Jin-Hyun;Kim, Chul;Yea, Sang-Jun;Song, Mi-Young
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.25 no.5
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    • pp.894-899
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    • 2011
  • Traditional Korean Medicine (TKM) has been actively researched through various approaches, including computational methods. This paper aims at providing an overview of domestic studies using the computational techniques in TKM field. A literature search was conducted in Korean publications using OASIS system, and major studies of data mining in TKM were identified. A review was presented in six diagnosis fields, including sasang constitution diagnosis, eight constitution diagnosis, tongue diagnosis, pattern diagnosis for stroke, diagnosis based on ontology, diagnosis for cause of disease. They collect clinical data themselves for experiments and primarily applied a algorithm of decision tree, SVM, neural network, case-based reasoning, ontology reasoning, discriminant analysis. In the future, there needs to identify which algorithm is suitable to diagnosis or other fields of TKM.

The research on agreement statistics analysis between factors of diagnosis (사상체질 진단요소들 간의 일치도 분석연구)

  • Jang, Eun-Su;Kim, Ho-Seok;Lee, Si-Woo;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.12 no.2 s.17
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    • pp.103-113
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    • 2006
  • Objectives we intended to know how much did it relate with the results between the instruments of diagnosis by using methods of three factors - QSCCII, PSSC(Phonetic System for Sasang Constitution)-2004, and body measurement which are usually used in diagnosing the Sasang Constitution in clinics Methods We diagnosed Sasang constitution through QSCCII, PSSC(Phonetic System for Sasang Constitution)-2004, Body measurement as a dignosis factors and we used Kappa coefficient to estimate simularity between diagnosis factors, and SPSS 12.0K to analyze data Results and conchusions 1. The orders of agreement statistics are different in the currency of Sasang Constitution diagnosis, Soeum-in was highest and Taeum-in lowest in the the fricency of Sasang Conctitution Diagnosis in the QSCCII, Soeum-in was highest Soyang-in lowest in the PSSC and Taeum-in highest, Soyang-in lowest in the body measurement so, we analogized incorrection in Sasang Constitution Diagnosis 2. Among 443 subjects, 156 (35.3%) had same dignosis in three Sasang Constitution factors. It means agreement statistics among factors of diagnosis are very low, so it is absolutely nessessary to research connection among those, especially Soyang-in part 3. Totally, it is not robust to apply these factors on Sasang Constitution diagnosis, especially agreement statistics between two kinds of Sasang Constitution diagnosis as $0.358{\sim}0.380$. However, we can have a possibility the more we use Sasang Constitution dignosis factors, the higher the agreement statistics is, through the ascending of agreement statistics as $0.526{\sim}0.592$, among three kinds of Sasang Constitution diagnosis To evaluate accuracy of Sasang Constitution diagnosis, it is nessessary to collect data from the subjects who are dignosed through the evidences such as herb medicine, disease and normal symption observation, etc. Using these data, we have to evaluate correction of seperated Sasang Constitution diagnosis methods and to connect those.

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Basic Research for the Recognition Algorithm of Tongue Coatings for Implementing a Digital Automatic Diagnosis System (디지털 자동 설진 시스템 구축을 위한 설태 인식 알고리즘 기초 연구)

  • Kim, Keun-Ho;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.1
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    • pp.97-103
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    • 2009
  • The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.