• 한국자기공명학회논문지
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• 제16권2호
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• pp.91-102
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• 2012

Metabolomics is the systematic identification and quantification of all metabolites in an organism or biological sample. NMR has been used as a major application tool in plant metabolomics such as quality control, chemotaxonomy, and analysis of genetically modified plants. Herbal medicines are the important therapeutics and are used to manage common diseases such as cold, inflammation, pain, heart diseases, liver cirrhosis, diabetes and central nerve system diseases. Herb plants include various kinds of species such as geranium, mint, and thyme and so on and contain different kinds of metabolites. We performed NMR-based metabolomics study on the seven different species of herb plants using $^1H$ NMR experiments and OPLS-DA to understand the correlation between the classification of herb plants and their metabolite contents. This study showed clear metabolic discrimination among various herb plants. This metabolmics study found several diagnostic NMR signals which are able to be used as bio-markers for identification of the specific herb plants among various species. Clear metabolic discrimination of herb plants suggests three chemotaxonomic groups of herb species.

• Journal of Periodontal and Implant Science
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• 제53권1호
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• pp.38-53
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• 2023

Purpose: The current Classification of Periodontal and Peri-Implant Diseases and Conditions, published and disseminated in 2018, involves some difficulties and causes diagnostic conflicts due to its criteria, especially for inexperienced clinicians. The aim of this study was to design a decision system based on machine learning algorithms by using clinical measurements and radiographic images in order to determine and facilitate the staging and grading of periodontitis. Methods: In the first part of this study, machine learning models were created using the Python programming language based on clinical data from 144 individuals who presented to the Department of Periodontology, Faculty of Dentistry, Süleyman Demirel University. In the second part, panoramic radiographic images were processed and classification was carried out with deep learning algorithms. Results: Using clinical data, the accuracy of staging with the tree algorithm reached 97.2%, while the random forest and k-nearest neighbor algorithms reached 98.6% accuracy. The best staging accuracy for processing panoramic radiographic images was provided by a hybrid network model algorithm combining the proposed ResNet50 architecture and the support vector machine algorithm. For this, the images were preprocessed, and high success was obtained, with a classification accuracy of 88.2% for staging. However, in general, it was observed that the radiographic images provided a low level of success, in terms of accuracy, for modeling the grading of periodontitis. Conclusions: The machine learning-based decision system presented herein can facilitate periodontal diagnoses despite its current limitations. Further studies are planned to optimize the algorithm and improve the results.

• 스마트미디어저널
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• 제12권7호
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• pp.9-17
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• 2023

작물의 병충해는 다양한 작물의 성장에 영향을 미치기 때문에 초기에 병충해를 식별하는 것이 매우 중요하다. 이미 많은 머신러닝(ML) 모델이 작물 병충해의 검사와 분류에 사용되었지만, 머신러닝의 부분 집합인 딥러닝(DL)이 발전을 이루면서 이 연구 분야에서 많은 진보가 있었다. 본 연구에서는 YOLOX 검출기와 MobileNet 분류기를 사용하여 비정상 작물의 병충해 검사 및 정상 작물에 대해서는 성숙도 분류를 진행하였다. 이 방법을 통해 다양한 작물 병충해 특징을 효과적으로 추출할 수 있으며, 실험을 위해 딸기, 고추, 토마토와 관련된 다양한 해상도의 이미지 데이터 셋을 준비하여 작물 병충해 분류에 사용하였다. 실험 결과에 따르면 복잡한 배경 조건을 가진 영상에서 평균 테스트 정확도가 84%, 성숙도 분류 정확도가 83.91% 임을 확인할 수 있었다. 이 모델은 자연 상태에서 3가지 작물에 대한 6가지 질병 검출 및 각 작물의 성숙도 분류를 효과적으로 진행할 수 있었다.

• 동의생리병리학회지
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• 제27권3호
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• pp.289-298
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• 2013

The purposes of this article are understanding the meaning of yin deficiency interpreted with a perspective of Traditional Korean Medicine and a modern perspective a study and assigning modern diseases to yin deficiency pattern types. Clinical papers were searched in China National Knowledge Infrastructure(CNKI) from 1995 to 2013. Results are as follows. First, yin deficiency written in the "Neijing" has been understood in many ways. It is translated such as deficiency of yin qi, inner qi, essence, cubit pulse, yin meridians qi, viscera yin and kidney. Second, yin deficiency pattern are related with disorders of the endocrine system, immunity, energy metabolism, blood circulation, cytokine, microelements, lipid metabolism and capability of getting rid of oxygen free radicals. Third, from pattern types, diverse diseases classified in types involving the heat from yin deficiency, which reflects pathologic conditions of deficiency heat which is distinct characteristics of yin deficiency pattern. Various diseases classified in types related with liver or kidney are reported, which reflects two viscera are more related with yin deficiency than other viscera. Fourth, levels of pattern types surveyed are more specific than Korean Standard Classification of Diseases(KCD) and specific enough to be applied clinically. This article surveyed the categories of modern diseases yin deficiency pattern types is assigned to but the detailed relation between them will be necessary to be studied in the future.

• 동의생리병리학회지
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• 제27권5호
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• pp.487-496
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• 2013

This article is a study on to which categories of modern diseases qi deficiency pattern types are assigned by reference to modern clinical papers to analyze and understand modern diseases with the perspective of Korean Medicine. Clinical papers were searched in China Academic Journals(CAJ) of China National Knowledge Infrastructure(CNKI) from 1994 to 2013. Conclusions are as follows. First, qi deficiency pattern types are roughly classified as qi deficiency pattern, qi-yin dual deficiency pattern and qi deficiency pattern related with viscera and bowels. Second, there are many patterns combined with static blood, qi stagnation, phlegm, dampness, heat, toxin, water or fluid deficiency and the level of pattern designation is more specific than pattern types in Korean Standard Classification of Diseases(KCD), which makes the pattern types more useful to clinical application. Third, static blood due to qi deficiency is the most frequent combined pattern and diseases related with blood circulation such as angina, atherosclerosis, hyperlipidemia and chronic obstructive pulmonary disease(COPD) were reported on that pattern. The detailed relation between modern diseases and pattern types can be an another topic.

• 대한한의정보학회지
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• 제18권1호
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• pp.64-77
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• 2012

Donguibogam, Korea's cultural heritage and traditional Oriental medicine book listed in the World Heritage three years ago, is indeed great in its importance and value. Korea's posterity has sought treatment methods through the medical book and their researches on that book have continued. However, it is rare to make the concrete analysis on the medicines for prescriptions recorded in the book. In this study, we reviewed "Ears" in the Section "Bodily Appearance" among the five chapters of Donguibogam, and analyzed the 55 types of prescriptions for ear diseases, the medical characteristics, tastes, prime classification of medical herbs, and acupunctural effects, and the dosage forms depending on prescriptions. For insect-entering ear diseases and 20 kinds of a single-medicine prescription also, the treatments are presented in the book, but we presented the texts only and excluded them in the analysis. We also excluded overlapping prescriptions and adding and reducing prescriptions of the 55 prescriptions, and thus classified the left 42 proscriptions by dosage form. As a result: 1. With respect to medical characteristics, the medicine with warm characteristics reached 9 types(40.9%), the highest rate, followed by the medicine with cold characteristics 8 types (36.4%). 2. Concerning medical tastes, the medicine with bitter taste included 12 types (54.5%), the medicine with sour taste 10 types (45.5%), and the medicine with sweet taste 7 types (31.8%). It was unusual that of the 22 medicines used for multipurpose, no medicine with the taste was found. 3. For the acupunctural effects, the medicine with acupuncture effects for spleen medirian reached 12 types in total (54.5%). On the contrary, the medicine with the effects for pericardium meridian reached only one (4.5%) among the total of 22 medicines. 4. In the dosage form of 42 prescriptions, powder medicine was 15 types (35.7%), and decoction medicine was 14 (33.3%). Powder, dedoction, and pill medicines accounted for 90.4% of the total medicine type. It was found that in particular, for ear diseases powder medicine was used more frequently than decoction medicine.

• 동의생리병리학회지
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• 제27권4호
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• pp.343-349
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• 2013

This article is a study on to which categories of modern diseases blood deficiency pattern types are assigned by reference to modern clinical papers. Clinical papers were searched in China National Knowledge Infrastructure(CNKI) from 1994 to 2013. Results are as follows. First, diverse diseases classified in qi-blood depletion pattern and pattern of blood deficiency and wind-dryness are reported and pattern types designated by the name of viscera are the minority. Second, among pattern types in Korean Standard Classification of Diseases(KCD), diseases classified in heart blood deficiency pattern, liver blood deficiency pattern and heart-liver blood deficiency pattern are a few. Third, the level of designation by the combined patterns such as qi deficiency, fluid deficiency, yin deficiency, kidney deficiency, essence deficiency, wind-cold, cold-dampness, dampness-heat, liver hyperactivity, liver depression and static blood is more specific than KCD, which makes pattern types more useful to clinical application. The detailed relation between modern diseases and pattern types can be an another topic.

• 한국안전학회지
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• 제34권3호
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• pp.42-49
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• 2019

This study statistically analyzed the laboratory accidents by investigating 806 laboratory accident survey reports which were officially submitted to government from 2013 to June 2017. After comparing domestic and foreign accident classification criteria, the laboratory accidents were classified using KCD7(Korean Standard Classification of Diseases) and OIICS(Occupational Injury and Illness Classification System) criteria. For the type and part of injury, KCD7 classification criteria was adopted. And, for the cause and occurrence type of accidents, OIICS was adopted to analyze the laboratory accidents. Most of injuries happened to the wrist and hand caused by sharp materials or chemical materials. The analysis of accident cause showed that accidents resulted in medical practice and accidents from handtools and chemical materials such as acid and alkali frequently occurred. The major occurrence types of laboratory accidents was body exposure to the chemical materials such as hydrochloric acid and sulfuric acid. In addition, the accidents resulted in destroy of grasped object or falling object were frequently reported.

• 대한의용생체공학회:의공학회지
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• 제5권2호
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• pp.121-126
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• 1984

A new approach to texture classification for quantitative ultrasound liver diagnosis using run difference matrix was developed. The run difference matrix comprised the gray level difference along with a distances. From this run difference matrix, we defined several vectors and parameters such as DOD, DGD, DAD vector, SHP, SMO, SMG, LDE, LDEL etc.Each parameter values calculated in fatty, cirrhotic, normal and chronic hepatitic liver images were plotted in a plane and we found that RDM method was more sensitive to small structural changes than the conventional run length method and showed improved classification ability between the diseases.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2815-2817
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• 2002

Classification method of cancers using cDNA microarrays data was developed using genetic algorithms and neural networks. For gene selection, 2308 genes were ranked using genetic algorithms, and selected by frequency number of selection from 1000 of genetic iterative runs. To calculate fitness values, artificial neural networks are used as classifier. The small, round blue cell tumors (SRBCTs) which is difficult to distinguish via pathological single test was used as test diseases for classification, and the test results showed the 96% of exact classification capability for 25 test samples.