• Molecules and Cells
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• 제28권3호
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• pp.195-200
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• 2009

Protein tyrosine kinases (PTKs) play a central role in the modulation of a wide variety of cellular events such as differentiation, proliferation and metabolism, and their unregulated activation can lead to various diseases including cancer and diabetes. PTKs represent a diverse family of proteins including both receptor tyrosine kinases (RTKs) and non-receptor tyrosine kinases (NRTKs). Due to the diversity and important cellular roles of PTKs, accurate classification methods are required to better understand and differentiate different PTKs. In addition, PTKs have become important targets for drugs, providing a further need to develop novel methods to accurately classify this set of important biological molecules. Here, we introduce a novel statistical model for the classification of PTKs that is based on their structural features. The approach allows for both the recognition of PTKs and the classification of RTKs into their subfamilies. This novel approach had an overall accuracy of 98.5% for the identification of PTKs, and 99.3% for the classification of RTKs.

• 방송공학회논문지
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• 제27권6호
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• pp.923-935
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• 2022

본 논문에서는 스마트팜 시스템에서 재배 중인 식물 잎의 질병을 검출하고, 질병 유형을 분류하는 방법을 제안한다. 영상으로부터식물 잎의 컬러 정보와 질병 유형의 형태 정보를 다층 퍼셉트론(MLP) 모델을 이용하여 학습한다. 1단계에서는 입력된 영상의 컬러분포를 분석하여 질병 존재 여부를 판단한다. 1단계의 질병 존재 가능성이 높은 영상에 대하여 2단계에서는 Mean shift clustering을 이용하여 작은 영역으로 분할하고, 각 분할된 영역 단위로 컬러 정보를 추출하여 제안한 Color Network에 의하여 질병 여부를 판별한다. 컬러 분할된 영역이 Color Network에 의하여 질병으로 판별되면, 3단계에서는 그 영역의 형태 정보를 추출하여 제안한 Shape Network를 이용하여 질병의 유형을 분류한다. 사과나무 잎과 서양 양상추(Iceberg)에서 발생하는 두 가지 대분류 유형의 질병에 대하여, 제안한 기법은 작은 영역 단위로는 92.3%의 잎 질병 검출률을 보였으며, 보통 2개 이상의 질병 영역이 존재하는 한 장의 영상 단위로는 99.3% 이상의 검출률을 보였다. 본 논문에서 제안한 방법은 스마트팜 환경에서 잎 식물의 질병 여부를 조기에 발견할 수 있으며, 대상 식물에 따른 추가 학습 없이 다양한 식물과 질병 유형으로 확대 적용이 가능하다.

• 한국안전학회지
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• 제26권5호
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• pp.110-117
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• 2011

The paper tries to understand the other side of characteristics on occupational injuries and diseases in forestry. Occupational injuries and diseases in forestry seems to be greatly influenced by the environmental characteristics of the mountain district and individual's ability of workers. A traditional method on the analysis of occupational injuries and diseases data may show that the main cause of occupational injuries and diseases is the material factors significantly. To identify the other side of occupational injuries and diseases in forestry, the occupational injuries and diseases data of 3,091 workers in forestry was analyzed. The data in forestry, 2009 shows certain characteristics among the recent occupational injuries and diseases data. The first step is to classify the data according to standard of classification of original cause materials. Material factors are 72.3% and human factors (included managerial factors) and environmental factors are 27.0%. The next step is to reclassify the first step data by using the concept of influence factors which caused and influenced occupational injuries and diseases. The result is that material factors are 2.4%, human factors(included managerial factors) and environmental factors are 97.0%. Also, an aging degree of workers in forestry is higher than other categories of business. It is true that an aging degree of injured or diseased workers in forestry is higher than that of other categories of business. However, relevance with increase of occupational injuries and diseases could not be explained. An injury and disease rate in forestry is remarkably increased recently than other categories of business. One of the reason why an injury and disease rate increased remarkably in 2009 could be considered as the increase of the number of workers and related budget. Therefore, this study proposes important measures or means to prevent occupational injuries and diseases in forestry.

• Journal of Korean Neurosurgical Society
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• 제67권3호
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• pp.308-314
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• 2024

Vein of Galen aneurysmal malformation is one of important pediatric arteriovenous shunt diseases, especially among neonates and infants. Here, early history of the disease identification, basic pathoanatomy with a focus on the embryonic median prosencephalic vein, classification and differential diagnoses, and recent genetic studies are reviewed.

• 대한한방내과학회지
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• 제42권4호
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• pp.510-531
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• 2021

Objectives: The purpose of this study was to review the status of numeric rating scale (NRS) usage and suggest the potential for use in multicenter retrospective studies of various diseases. Methods: Articles published from 2011 to 2021 that used the keywords "NRS", "Multi-center", and "RCT" were identified in foreign databases, including EMBASE, PubMed, CENTRAL. The articles were analyzed according to their use of "NRS" by symptoms and by disease group using the major classifications of the Korean Standard Classification of Diseases (KCD-7). Results: Classification by symptom in a total of 288 articles illustrates that the NRS was not only commonly used in pain evaluation but also for non-pain symptoms. In usage with non-pain symptoms, chief complaint of patients was the most common at 79%, and other factors included treatment satisfaction, evaluation of daily life, and sleep quality. In disease classification according to the KCD-7, the NRS was commonly used in connection with musculoskeletal and connective tissue diseases but was also utilized in various other disease groups. Conclusions: This study confirms usage of the NRS in multi-center RCTs, as the NRS was widely used in all types of diseases and symptoms. Considering the result and the advantages of the NRS, it is recommended for use as a daily evaluation tool for the collection of common data in multicenter retrospective studies.

• 대한의용생체공학회:의공학회지
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• 제44권3호
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• pp.167-175
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• 2023

Chest PA is the basic examination of radiographic imaging. Moreover, Chest PA's demands are constantly increasing because of the Increase in respiratory diseases. However, it is not meeting the demand due to problems such as a shortage of radiological technologist, sexual shame caused by patient contact, and the spread of infectious diseases. There have been many cases of using artificial intelligence to solve this problem. Therefore, the purpose of this research is to build an artificial intelligence dataset of Chest PA and to find a posture evaluation method. To construct the posture dataset, the posture image is acquired during actual and simulated examination and classified correct and incorrect posture of the patient. And to evaluate the artificial intelligence posture method, a posture estimation algorithm is used to preprocess the dataset and an artificial intelligence classification algorithm is applied. As a result, Chest PA posture dataset is validated with in over 95% accuracy in all artificial intelligence classification and the accuracy is improved through the Top-Down posture estimation algorithm AlphaPose and the classification InceptionV3 algorithm. Based on this, it will be possible to build a non-face-to-face automatic Chest PA examination system using artificial intelligence.

• Childhood Kidney Diseases
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• 제16권1호
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• pp.21-31
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• 2012

초점성 분절성 사구체 경화증(focal segmental glomerulosclerosis; FSGS)은 경화증을 주 병변으로 하는 질환으로서 일차성 사구체 질환의 하나이면서 진행된 사구체 질환의 형태적 변화를 기술하는 단어로도 사용되고 있다. 사구체에는 경화증, 유리질 형성, 거품세포의 출현, 발세포의 공포화, 광륜형성 등이 보이고, 간질의 섬유화와 염증세포의 침윤, 세뇨관의 위축, 혈관의 비후 및 내막 섬유화 등을 특징으로 한다. 면역형광검사에서 부분적으로 IgM과 C3 등의 침착을 보이지만 면역관련 질환은 아니다. 전자현미경 검사에서는 발세포의 손상 현상으로 세포질 내의 공포화와 족돌기가 상실되는 것이 중요 소견이다. 2004년 표준화 된 FSGS의 분류는 과거의 형태학적 변형들을 모아서 임상과의 상관관계를 지웠다. 그 결과 tip형이 가장 예후가 좋으며, collapsing형이 가장 나쁜 것으로 알려졌다. 그러나 이 분류가 증례에 따라서는 적용하기가 애매한 경우가 많고, collapsing형을 FSGS에 분류하는 것에 대한 반론 등이 제기되고 있다. 한편, 임상적으로는 FSGS를 원인에 따라 분류하여 거꾸로 형태학적 공통점을 찾으려는 노력을 하고 있다. 사구체의 수가 적어서 일어나는 과여과로 인한 FSGS는 perihilar형이 많고 유전적 질환에 의한 것은 diffuse mesangial sclerosis가 특징인 것으로 주장되고 있다. FSGS는 이와 같이 아직도 밝혀져야 할 것이 많은 질환이며, 계속적인 연구가 이루어져야 할 필요가 있다.

• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.449-453
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• 2014

Chronic diseases including hypertension and its complications are major sources causing the national medical expenditures to increase. We aim to predict the risk of hypertension complications for hypertension patients, using the sample national healthcare database established by Korean National Health Insurance Corporation. We apply classification techniques, such as logistic regression, linear discriminant analysis, and classification and regression tree to predict the hypertension complication onset event for each patient. The performance of these three methods is compared in terms of accuracy, sensitivity and specificity. The result shows that these methods seem to perform similarly although the logistic regression performs marginally better than the others.

• Korean Journal of Acupuncture
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• 제31권3호
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• pp.108-116
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• 2014

Objectives : The purpose of this study is to identify changes of texts by investigating similarities and differences of the third chapter of limb diseases section between Beijiqianjinyaofang(BJQJYF) and Sunzhenrenqianjinfang(SZRQJF). Methods : I reviewed the third chapter of limb diseases section both of BJQJYF and SZRQJF and analysed the changes of texts. Results : 1. Hand, shoulder and low back pains mentioned in the second chapter of glossopathy from SZRQJF were moved to the third chapter of limb diseases in BJQJYF. 2. Inappropriate indications were changed reasonably. 3. Contents related with treatment were revised, by addition or deletion of contents. 4. There were some contents which were worth clinically in SZRQJF. 5. The rule of choosing acupoints for hand, arm, leg, knee and limb disease was selection of local points, and for shoulder and low back disease was selection of distant points. Conclusions : Classification and contents of the third chapter of limb diseases were re-organized systematically through proofreading by medical printing authority. However, some contents deleted from SZRQJF were worth clinically, and more studies are necessary to identify the reason why the indication and selection of acupoints were changed by proofreading.

• 한국산업보건학회지
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• 제30권4호
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• pp.353-363
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• 2020

Objectives: Occupational diseases that occur due to or aggravated by work have commonly been recognized in the manufacturing industry, but there are now more incidences happening in the service industry due to changes in the industrial structure. Health workers are exposed to direct factors and various other causes of occupational disease at work, such as physical, chemical, biological, and psyco-social factors. This study aims to identify work-related diseases affecting health workers that are recognized as occupational diseases. Methods: The research is based on the data of workers whose diseases were accepted as work-related by the Industrial Accidents Compensation Insurance, and filed by the Korean Occupational Safety and Health Agency. Amongst the approved claims during 2011 to 2015, we focused on healthcare workers and health-related workers of the Korean Standard Classification of Occupations. Descriptive statistics were performed. Results: The number of health workers(HWs) with approved work-related disease was 1,707 over 5 years. The number of healthcare workers(HCWs) excluding caregivers was 370 (21.7%) and of health-related workers (HRWs) it was 736 (43.1%). Out of HWs who were approved for their illnesses, females were 80% of HCWs and 88% of HRWs. The most common occupational disease in HWs was musculoskeletal diseases, while that of nurses was infectious disease. Conclusions: HWs are exposed to various risks from their profession and are affected by occupational diseases. It is necessary to focus on this issue and provide preventive measures.