• Journal of Sasang Constitutional Medicine
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• v.23 no.1
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• pp.24-32
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• 2011

1. Objectives: This research was proposed to reinterpret "Soeumin Bumron(少陰人 泛論)"through development of Soeumin exterior disease in Sasang Constitutional Medicine(SCM). 2. Methods: We chronically compared the conceptions, symptoms, mechanisms and treatments of Soeumin exterior disease from "Donguisusebowon-GabObon(東醫壽世保元甲午本)"(DGO) to " "Donguisusebowon-ShinChukbon(東醫壽世保元辛丑本)"(DSC) 3. Results and Conclusions: (1) The classification standard of Soeumin exterior disease was different in DGO and DSC. (2) Soeumin exterior disease classified Taeyang Disease(太陽病), Yangmyoung Disease(陽明病) in DGO and Ulkwang-syndrome(鬱狂證), Mangyang-syndrome(亡陽證) in DSC. (3) Based on the changes of understanding about Soeumin exterior disease from DGO to DSC, we attempted to reinterpret "Soeumin Bumron(少陰人 泛論)" in view of DSC. In view of DSC, the classification standard of Soeumin exterior disease focused on Warm Yang Qi(陽煖之氣), Healthy energy(保命之主) of Soeumin.

• Journal of Acupuncture Research
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• v.33 no.1
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• pp.69-77
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• 2016

Objectives : The objective of this study is to review external approaches using acupuncture and related treatments of hyperpigmentation disorders and their classification in traditional medicine. Methods and Results : Hyperpigmentation was recorded for the first time in Treatise on the Pathogenesis and Manifestations of All Diseases published in 610 A.D. This suggests that the symptom has already been recognized as an independent disease in East Asia for more than 1,400 years. Over the course of several centuries, there has been a significant evolution in the traditional treatments for hyperpigmentation. There are many different types of therapy, including body acupuncture, intradermal acupuncture, ear acupuncture, ear acupressure, blood-letting treatment, pharmacopuncture, plum-blossom needle therapy, burning acupuncture therapy, moxibustion, and guasha. In addition, the traditional classification of hyperpigmentation has been changing shape. However, no attempts have been made to establish the academic linkage between the modern classification of hyperpigmentation disorders and the traditional one, on account of different concepts and names of the ailment. This study was designed in an attempt to identify the linkage of the categorization of the Korean Standard Classification of Disease (KCD) and the traditional classification. Conclusions : Through this literature review, we found that there has been a significant evolution in the treatment of hyperpigmentation disorders in East Asia. Traditional medical treatment for skin disease, including hyperpigmentation, is expected to be further developed with the advancement of science and technology.

• The Korean Journal of Cytopathology
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• v.5 no.2
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• pp.106-112
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• 1994

Fine needle aspiration biopsy has been proved as a safe, accurate and cost-effective diagnostic modality in palpable breast lesions. Cytologically, fibrocystic disease can be classified into 3 categories as nonproliferative breast disease, proliferative breast disease without atypia, and proliferative breast disease with atypia. This terminology for fine needle aspirates is compatible with that of diagnostic histopathology. Cytologic differentiation of nonproliferative disease from proliferative breast disease is important, since the risk of cancer development in cases of atypical hyperplasia is 4-5 times higher than that of general population. Twenty five fine needle aspirates of fibrocystic disease confirmed by subsequent histopathology were re-evaluated and classified into 3 categories depending on their architectural and nuclear features. In addition, these aspirates were scored according to the cytologic grading system, devised by Masood et al. and based on six cytologic criteria. Concordance rates between cytomorpholgic diagnosis and cytologic diagnosis using the cytologic criteria grading system and histologic diagnosis were 88% and 92%, respectively.

• The Journal of the Society of Stroke on Korean Medicine
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• v.13 no.1
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• pp.52-62
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• 2012

Object : The aim of this study was to examine the differences of symptom improvement between different diagnosis classification groups in acute cerebral infarction patients. Methods : We studied inpatients within a month after the onset of cerebral infarction who were admitted at Kyunghee University Oriental Medical Center from May 2011 to October 2012. We compared the improvement of Motricity Index and Scandinavian Stroke Scale score between Fire-heat group(n=20), Yin deficiency group(n=31), Dampness-phlegm group(n=30), and Qi deficiency group(n=13). Results : Yin deficiency group patients with cerebral infarction showed the most improvement in MI and SSS scores, and patients in Fire-heat group showed the poorest improvement in MI and SSS scores. There was a significant difference between the two groups, but there were no significant differences between all four diagnosis classification groups. Conclusions : This study provides evidence that diagnosis classification could be considered as an important factor in predicting the prognosis of acute cerebral infarction.

• Journal of Biosystems Engineering
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• v.40 no.4
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• pp.417-427
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• 2015

Purpose: This study investigated different band selection methods to classify spectrally similar data - obtained from aerial images of healthy citrus canopies and citrus greening disease (Huanglongbing or HLB) infected canopies - using small differences without unmixing endmember components and therefore without the need for an endmember library. However, large number of hyperspectral bands has high redundancy which had to be reduced through band selection. The objective, therefore, was to first select the best set of bands and then detect citrus Huanglongbing infected canopies using these bands in aerial hyperspectral images. Methods: The forward feature selection algorithm (FFSA) was chosen for band selection. The selected bands were used for identifying HLB infected pixels using various classifiers such as K nearest neighbor (KNN), support vector machine (SVM), naïve Bayesian classifier (NBC), and generalized local discriminant bases (LDB). All bands were also utilized to compare results. Results: It was determined that a few well-chosen bands yielded much better results than when all bands were chosen, and brought the classification results on par with standard hyperspectral classification techniques such as spectral angle mapper (SAM) and mixture tuned matched filtering (MTMF). Median detection accuracies ranged from 66-80%, which showed great potential toward rapid detection of the disease. Conclusions: Among the methods investigated, a support vector machine classifier combined with the forward feature selection algorithm yielded the best results.

• Journal of Forest and Environmental Science
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• v.32 no.4
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• pp.384-391
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• 2016

In this study, regions infected by pine wilt disease were extracted by using object-based classification method (OB-infected region), and the characteristics of special distribution about OB-infected region were figured out. Scale 24, Shape 0.1, Color 0.9, Compactness 0.5, and Smoothness 0.5 was selected as the objected-based, optimal weighted value of OB-infected region classification. The total accuracy of classification was high with 99% and Kappa coefficient was also high with 0.97. The area of OB-infected region was approximately 90 ha, 16% of the total area. The OB-infected region in Age class V and VI was intensively distributed with 97% of the total. Also, The OB-infected region in Middle and Large DBH class was intensively distributed with 99% of the total. In terms of the topographic characteristics of OB-infected region, the damages occurred approximately 86% below the altitude of 200 m, and occurred 91% with a slope less than 10 degree. The damage occurred a lot in low hilly mountain and undulating slope. In addition, the accessibility to road and residential area from OB-infected region was less than 300 m in large part. Overall, it was figured out that artificial effect is stronger than natural effect with regard to the spread of pine wilt disease.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.667-675
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• 2021

The treatments for symptoms of Alzheimer's disease are being provided and for the early diagnosis several researches are undergoing. In this regard, by using T1-weighted images several classification techniques had been proposed to distinguish among AD, MCI, and Healthy Control (HC) patients. In this paper, we also used some traditional Machine Learning (ML) approaches in order to diagnose the AD. This paper consists of an improvised feature selection method which is used to reduce the model complexity which accounted an issue while utilizing the ML approaches. In our presented work, combination of subcortical and cortical features of 308 subjects of ADNI dataset has been used to diagnose AD using structural magnetic resonance (sMRI) images. Three classification experiments were performed: binary classification. i.e., AD vs eMCI, AD vs lMCI, and AD vs HC. Proposed Feature Selection method consist of a combination of Principal Component Analysis and Recursive Feature Elimination method that has been used to reduce the dimension size and selection of best features simultaneously. Experiment on the dataset demonstrated that SVM is best suited for the AD vs lMCI, AD vs HC, and AD vs eMCI classification with the accuracy of 95.83%, 97.83%, and 97.87% respectively.

• Journal of Multimedia Information System
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• v.8 no.4
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• pp.233-242
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• 2021

Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

• Journal of Sasang Constitutional Medicine
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• v.11 no.1
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• pp.119-135
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• 1999

The object of this study is 196 patients who had been treated in the Oriental Medical Hospital at Dong Eui Medical Center during 33 months from January 1996,3 to June 1998,11. We proceeded the judgment of Sasang Constitution by 'Questionnaire of Sasang Constitution Classification(I)' and 'Questionnaire of Sasang Constitution Classification II(QSCCII)'. The following conclusion were made in comparison with Sasang Constitution and Questionnaire about disease and style of symptoms. 1. The subject of "increase of the weight of a body(gain weight), sweatier, the body swelled out, a lame pain, more like fat food, more like salty food", has significant differences in sasang constitution classification. The frequency of Taeeum group is more than that of Soeum group and Soyang group. 2. The subject of "the complextion is bas, uncomfortable feeling in the throat, insomnia, loss of appetite, apt to be fatigued easily, gastralgia what is not connected with food, diarrhea, headache, menorrhalgia, less like fat food, more like fresh food", has significant differences in sasang constitution classification. The frequency of Soeum group is more than that of Taeeum group and Soyang group. 3. It has not significant differences, but the frequency of Soyang group is more than that of Taeeum group and Soeum group in the subject of "the cough in the disease of the respiratory organs, hypomotility of the joint in the disease of the musculo-skeletal systems, menoxenia like menorrhagia and menostaxia and itching sensation of genitals in the disease of the gynecological organs, itching or boil in the dermatological disease", and fewer in the cardio-vascular disease, urinary disease and hematic disease. The frequency of Soeum group is more than that of Taeeum group and Soyang group in the subject of "the general disease of the digestive organs, uncomfortable feeling or pain of the throat in the disease of the respiratory organs, the general hematic disease, numbness or pain of the musculo-skeletal disease, psychical disease in the psychoneurotical disease, menorrhalgia, a lump of the breasts, leukorrhea in the gynecological disease, eruption or urticaria in the dermatological disease, the general visual and auditory disease". The frequency of Taeeum group is more than that of Soyang group and Soeum group in the subject of "a hoarseness in the disease of the respiratory organs, A lame pain of the musculo-skeletal disease, neurotical disease in the psychoneurotical disease, eruption or urticaria in the dermatological disease", and fewer in the the gynecological disease.

• Journal of Sasang Constitutional Medicine
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• v.23 no.4
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• pp.429-444
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• 2011

1. Objective This study is aimed to present the effective classification of Soeumin symptomatology and the standardized signs for classification which can be applied for KCD, ICD and the insurance codification system. 2. Methods 1) Differentiate Soeumin symptomatology based on exterior-interior patterns, favorable-unfavorable patterns, and mild-severe-dangerous-urgent patterns. 2) Investigate the standard signs and symptoms to claasify Soeumin symptomatology based on exterior-interior patterns, favorable-unfavorable patterns, and mild-severe-dangerous-urgent patterns. 3. Results and Conclusions 1) The diagnosis criteria for Soeumin exterior-interior disease is based upon signs & symptoms of cold/heat, condition of stool, state of digestive system(such as digestion and appetite)among others. 2) The diagnosis criteria for Soeumin favorable-unfavorable disease is generally based upon whether the vital force of the spleen is damaged or not. More specifically, for the exterior disease, whether or not sweating is present. For the interior disease, whether or not dry mouth, body ache(a main symptom of the exterior state), and anxiousness are present. 3) For the Soeumin Wool-gwang disease, the diagnosis criteria of mild-severe disease is whether or not chills is present and the degree of body fever. 4) For Soeumin Mang-yang disease, the diagnosis criteria of dangerous-urgent disease is whether or not chills is, the degree of sweating and urine condition. 5) For the Soeumin Greater-Yin disease, Abdominal-pain bowel irritability pattern and Epigastric discomfort pattern are early state signs, Jaundice pattern is mild-state sign, edema & Greater-Yang disease Yin-toxin pattern are terminal state signs. 6) For the Soeumin interior disease, Abdominal-pain bowel irritability pattern and Epigastric discomfort pattern are of the dangerous state pattern, Jang-gual and Exuberant-Yin-repelling-Yang pattern are of the urgent state patterns.