• The Journal of the Society of Korean Medicine Diagnostics
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• v.22 no.1
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• pp.1-10
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• 2018

Objectives The purpose of this study is to compare the representative differential diagnosis methods of blood stasis pattern used in Korea, China and Japan, and then to characterize each diagnostic method. Methods Through the journal databases, we have selected representative tools that were developed for differential diagnosis of blood stasis pattern in Korea, China and Japan. In order to characterize the selected check-lists or questionnaires, we investigated the number of items, contents, score calculation method, internal consistency, and accuracy of each selected tool. Results A total of four diagnostic tools were finally selected; quantitative diagnosis scale of blood stasis syndrome (QDSBSS), diagnostic criteria for blood stasis (DCBS), blood stasis questionnaire (BSQ), and blood stasis syndrome questionnaire (BSSQ). The key points in the differential diagnosis for blood stasis were different for each of the diagnostic tool. The key point was oral mucosa (including tongue) status in the QDSBSS. Meanwhile it was abdominal pain/resistance in the DCBS, and general pain in the BSQ. Accuracy of the QDSBSS, the BSQ and the BSSQ were powerful but all of them was not generalized. Conclusions Therefore, it is desirable to select and apply a plurality of appropriate tools according to the characteristics of the blood stasis patients.

• Journal of Biomedical Engineering Research
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• v.24 no.4
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• pp.247-257
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• 2003

This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

• Journal of Biomedical Engineering Research
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• v.40 no.3
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• pp.97-104
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• 2019

To examine different types of influenza diagnostic test kits automatically, automated rapid influenza diagnostic test method based on image recognition is proposed in this paper. First, the proposed methods classify a variety of the rapid influenza diagnostic test kit based on support vector machine that analyzes the kits' feature point. Then, to improve the accuracy of test, the proposed methods match the histogram of both the target image of influenza kit and the input image of influenza kit for minimizing the effect of environment factors, such as lighting and exposure variations. And, to minimize the effect from composition of the hand-helds devices, the proposed methods extract the feature point and match point-by-point between target image of influenza kit and input image of influenza kit. Experimental results of 124 experimental group show that the proposed methods significantly have effectiveness, which shows 90% accuracy in moderate antigen, for the preliminary examination of influenza, and provides the opportunity for taking action against influenza.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.91-104
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• 2021

The purpose of this study is to develop the diagnostic indices system that can be applied to the evaluation of rural village level, because the indicators developed in many existing studies were mostly consisted of statistical data in higher level than rural villages as well as those were difficult to apply to rural village level empirically. In order to develop the empirical diagnostic indices system, which has 52 indices with 7 categories, this study not only classified the kind of rural village facility and the regional development project of government, but also surveyed the specialist opinion with Delphi method. Especially, this study standardized the all diagnostic indices with positive value to remove the indices with negative values. Finally, the results that the study applied the empirical diagnostic indices to the 15 sample villages of Jinan-gun and Cheongyang-gun showed that there was the applicability of the indices system in the village level.

• Journal of Korean Medical classics
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• v.29 no.3
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• pp.113-132
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• 2016

Objectives : In this study, the Abdominal Diagnostic Method of Kitao Shunpo(北尾春圃) about Movement Qi between kidneys in Sanghauidam(桑韓醫談) and Jeonggisinron(精氣神論) are investigated for the purpose of understanding the definite technique of the method and the position in the context of abdominal diagnosis in Japan. Methods : The materials related to the abdominal diagnosis to Movement Qi between kidneys were selected from Sanghauidam and Jeonggisinron written by Kitao Shunpo, and analyzed to know the characteristics of the method. Results : Kitao Shunpo suggested the theoretical background of the Abdominal Diagnostic Method that Original Qi(元氣) is made from Original Essence(元精) when a person is born, and mentality(神) and body essence(精), qi(氣) and blood(血) are formed from those. Movement Qi between kidneys(腎間動氣), that is to say innate Original Qi can be diagnosed in abdominal region by the method in Japanese Medicine. Kitao Shunpo decided deficiency and excess of Original Qi and prognosis in clinical treatment by the method, and suggested the standard pulse condition of the Movement Qi between kidneys. Conclusions : After the theory about Movement Qi between kidneys appeared in Nanjing(難經), many doctors have not made attention to diagnose that for a long time, until Kitao Shunpo with other Japanese doctors established the theoretical background of the Abdominal Diagnostic Method, and applied the theory to clinical treatment.

• Journal of Acupuncture Research
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• v.18 no.4
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• pp.161-177
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• 2001

Objective : We have studied the part, definition, diagnostic generaliztion and pathological viewpoint of Qi mouth and Renying by refering literatures Methods : I refered to records from anciant to modern. The results are followings : 1. Qi mouth and Renying is ancient diagnostic method and the origin of diagnostic method through the pulsation of radial artery. And Qi mouth is recognized as the right and left Qi mouth and Renying is located on pulsation points of both common carotid arteries. 2. The yin of five viscera, nutritional blood and viscous liquid are diagnosed by Qi mouth which is inclued lung meridian. And the yang of six organs, guarding Qi and the rise and fall of stomach energy are diagnosed by Renying which is inclued stomach meridian. 3. It is possible that the position, process and transformational condition of disease are decided by comparing and examining Qi mouth and Renying.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.6 no.1
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• pp.40-51
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• 2006

Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.187-191
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• 2000

In the analysis of repeated measurements, multivariate regression models that account for the correlations among the observations from the same subject are widely used. Like the usual univariate regression models, these multivariate regression models also need some model diagnostic procedures. In this paper, we propose a simple graphical method to detect outliers and to investigate the goodness of model fit in repeated measures data. The graphical method is based on the quantile-quantile(Q-Q) plots of the $X^2$ distribution and the standard normal distribution. We also propose diagnostic measures to detect influential observations. The proposed method is illustrated using two examples.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.267-270
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• 2021

In order to diagnose a vehicle, it is achieved by collecting diagnostic data within the ECU or between ECUs and managing the diagnostic data by utilizing various communication methods through an electronic device composed of an ECU(Electronic Control Unit), which is an automotive electronic device. As communication methods, LIN, CAN, FlexRay are mainly used. Recently, wired/wireless communication is being used based on Ethernet. In order to perform vehicle diagnosis, it is necessary to know the diagnosis code generated by the ECU and to collect diagnosis data using diagnosis communication. In addition, diagnostic data can be managed from the ECU only when the application software required for vehicle diagnosis is configured. If many automobile manufacturers are manufacturing ECUs based on the AUTOSAR standard, which is an automotive electronic standard, the software structure is also configured to be applied according to the standard. In this paper, we understand the vehicle diagnosis communication method of the AUTUSAR standard, study the configuration and processing method of diagnosis data, and study the contents of software components, diagnosis communication, and diagnosis event processing.

• Imaging Science in Dentistry
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• v.52 no.2
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• pp.181-186
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• 2022

Purpose: This study aimed to investigate inter-observer reliability among observers with different levels of proficiency and the diagnostic imaging reliability of cone-beam computed tomography (CBCT) images of the retromolar canal. Materials and Methods: CBCT images of 307 patients were assessed for the presence of retromolar canals(RMCs) by 3 observers independently. Diagnoses were made twice by each observer at intervals of more than 3 weeks. Interobserver reliability was assessed using the kappa coefficient. One observer had no experience in diagnosis using CBCT images. Therefore, a specialist in diagnostic imaging explained the CBCT images for interpretation and practiced diagnostic imaging together with this observer, while the other observer interpreted the images independently. Thereafter, the observers re-evaluated the images. Results: The interobserver kappa coefficients (including bilateral RMCs) calculated at the first reading were low, ranging from 0.21 to 0.61. Their values ranged from 0.95 (right side) to 1.00 (left side) after one-on-one practice with a diagnostic imaging specialist, while the values ranged from 0.65 (right side) to 0.66 (left side) without one-on-one practice. Conclusion: Diagnostic accuracy was improved through diagnostic imaging practice. To improve the anatomical interpretation of images, it is important to practice diagnostic imaging with a specialist in diagnostic imaging. One-on-one instruction about diagnostic imaging was an effective method of training.