• 대한한의학원전학회지
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• 제23권5호
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• pp.35-50
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• 2010

By grouping freshly the virtue terms used in herbal medicine, we are apt to establish the position coordinates of concepts and raise the level of the herbal virtue research in future. As the terms related to the herbal virtue used in herbal medicine are used with the virtue terms mingled with the chief treatable disease terms, it's hard to use the herbal virtue data only. And though the virtues terms imply many data like medical act data or medical operation data, we can't use them fully. We sort the terms related to the herbal virtue into the virtue terms and the chief treatable disease terms and acquire many data like medical act data or medical operation data and group the data by same attribute. At this time in the process of classification we establish sort standards inductively, put relations between the attributes in order, out of this result we grasp the actual conditions of the virtue terms used now, and show useful data for herbal virtue research in future. We got the chief treatable disease terms from the ones related to the herbal virtue, acquired a lot of data from the virtue terms and grouped the data by the same attribute. We established a proper standard inductively in the process of classification, put the relations between the attributes in order, grasped the actual conditions of the virtue terms in use at the moment out of the result of the classification and presented the applicable data for the herbal virtue research in future.

• Gut and Liver
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• 제12권6호
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• pp.674-681
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• 2018

Background/Aims: The cumulative surgery rate and postoperative relapse of intestinal Behçet's disease (BD) have been reported to be high. This study aimed to establish a scoring system based on follow-up endoscopic findings that can predict intestinal BD recurrence after surgery. Methods: Fifty-four patients with intestinal BD who underwent surgery due to bowel complications and underwent follow-up colonoscopy were retrospectively investigated. Their clinical data, including colonoscopic findings, were retrieved. Classification and regression tree analysis was used to develop an appropriate endoscopic classification model that can explain the postsurgical recurrence of intestinal BD most accurately based on the following classification: e0, no lesions; e1, solitary ulcer <20 mm in size; e2, solitary ulcer ${\geq}20mm$ in size; and e3, multiple ulcers regardless of size. Results: Clinical relapse occurred in 37 patients (68.5%). Among 38 patients with colonoscopic recurrence, only 29 patients had clinically relapsed. Multivariate analysis identified higher disease activity index for intestinal BD at colonoscopy (hazard ratio [HR], 1.013; 95% confidence interval [CI], 1.005 to 1.021; p=0.002) and colonoscopic recurrence (HR, 2.829; 95% CI, 1.223 to 6.545; p=0.015) as independent risk factors for clinical relapse of intestinal BD. Endoscopic findings were classified into four groups, and multivariate analysis showed that the endoscopic score was an independent risk factor of clinical relapse (p=0.012). The risk of clinical relapse was higher in the e3 group compared to the e0 group (HR, 6.284; 95% CI, 2.036 to 19.391; p=0.001). Conclusions: This new endoscopic scoring system could predict clinical relapse in patients after surgical resection of intestinal BD.

• 융합신호처리학회논문지
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• 제21권2호
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• pp.73-78
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• 2020

근골격 질환은 착석 자세로 업무 및 학업을 장시간 진행하거나 잘못된 자세 습관으로 발생하는 경우가 많다. 일상생활에서 근골격 질환을 예방하기 위해서는 실시간 착석자세 모니터링을 통해 잘못된 자세를 바른 자세로 유도하는 것이 가장 중요하다. 본 논문에서는 의자에 밀착된 착석 정보를 무 구속적으로 검출하기 위하여 다채널 압력센서 기반의 자세 측정 시스템과 사용자의 착석 자세 분류를 위한 CNN 모델을 제안한다. 제안된 CNN 모델은 착석 자세 정보를 기반으로 압력분포에 따른 사용자의 5가지 자세 분석이 가능하다. 필드테스트를 통한 자세 분류 신경망의 성능평가를 위하여 10명의 피실험자를 대상으로 분류결과에 대한 정확도, 재현율, 정밀도 및 조화 평균을 확인하였다. 실험 결과, 99.84%의 accuracy, 99.6%의 recall, 99.6%의 precision, 99.6%의 F1을 확인하였다.

• 한국정보통신학회논문지
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• 제26권7호
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• pp.956-962
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• 2022

미만성 갑상샘 질환은 그 진단 기준이 모호하고 숙련자의 주관적인 진단에 따라 오류가 많이 발생한다. 초음파 영상에 영상처리기술을 적용하고 정량적 데이터를 추출하여 컴퓨터 보조 진단 시스템에 적용하게 되면 보다 정확하고 정략적인 진단이 가능하다. 본 논문에서는 갑상샘 질환 환자를 정상, 경도, 중등도로 분류된 초음파 영상에 GLCM 알고리즘을 적용하여 19개의 파라미터를 추출하였다. 이들 파라미터를 이용하여 인공신경망을 적용하여 미만성 갑상샘 초음파 영상을 분류하여 최종 96.9%의 분류율을 얻었다. 본 연구의 결과를 이용하여 갑상샘 질환의 진단에 있어 육안 판독에 따른 오류를 감소시키고, 미만성 갑상샘 질환 진단의 2차적인 수단으로 활용 가능할 것으로 기대된다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.305-307
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• 2021

Alzheimer's Disease (AD) is a cognitive disorder characterized by memory impairment that can be assessed at early stages based on administering clinical tests. However, the AD pathophysiological mechanism is still poorly understood due to the difficulty of distinguishing different levels of AD severity, even using a variety of brain modalities. Therefore, in this study, we present a hybrid EEG-fNIRS modalities to compensate for each other's weaknesses with the help of Machine Learning (ML) techniques for classifying four subject groups, including healthy controls (HC) and three distinguishable groups of AD levels. A concurrent EEF-fNIRS setup was used to record the data from 41 subjects during Oddball and 1-back tasks. We employed both a traditional neural network (NN) and a CNN-LSTM hybrid model for fNIRS and EEG, respectively. The final prediction was then obtained by using majority voting of those models. Classification results indicated that the hybrid EEG-fNIRS feature set achieved a higher accuracy (71.4%) by combining their complementary properties, compared to using EEG (67.9%) or fNIRS alone (68.9%). These findings demonstrate the potential of an EEG-fNIRS hybridization technique coupled with ML-based approaches for further AD studies.

• 한국산림과학회지
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• 제95권3호
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• pp.240-249
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• 2006

최근, 소나무재선충(Bursaphelenchus xylophilus)에 의한 소나무림의 피해에 대한 사회적 심각성이 크게 대두되고 있다. 소나무 재선충에 의한 산림피해는 피해지 내에서는 매개충인 솔수염하늘소의 자연적인 영역확장에 의해 확산되는 반면, 전국적으로는 감염목의 인위적 반출 및 이동에 의해 확산이 진행되고 있다. 본 연구에서는 부산 대변항의 재선충 피해지내에서 항공사진 및 현지조사에 의해 피해목의 공간적인 위치를 파악하였고, 공간통계학적인 방법을 통하여 피해목의 공간분포유형, 피해발생과 지형인자간의 관계를 분석하였다. 또한, 지형공간자료를 통계학적 Tree 모형에 적용한 CART(Classification and Regression Trees)모형을 이용하여 재선충 피해의 자연적인 확산 예측 지도를 작성하였다. 본 연구를 통해 공간통계학적인 분석과 CART모형이 소나무재선충 피해의 공간분포 및 자연적 확산유형을 파악하는데 유용한 도구로 활용될 수 있음을 확인할 수 있었다.

• 사상체질의학회지
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• 제21권1호
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• pp.28-34
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• 2009

1. Objective This study aims to establish the concept and classification of the Gochangl(鼓脹) pathology introduced in the Sasang Constitutional Medicine literature. 2. Methods Different editions of Donguisusebowon, including the Gabo version and the Sinchuk version, were compared for differences and similarities in the concept, symptomology, pathology, and therapeutics concerning the Soyangin Gochang disease. 3. Results and Conclusion (1) In the Gabo edition, Gochang(鼓脹) is introduced to Eumheohwadongwiyeolyukran(陰虛火動胃熱肉爛) disease category of the Interior-Based Symptomatic Pattern in the "Soyangin Interior Large Intestine Disease" section and is introduced to the conditions progressed from edema included in the Exterior-Based Symptomatic Pattern in the "Articles added to the Soyangin Bladder and Large Intestine Disease" section. (2) In the Sinchuk edition, Gochang(鼓脹) is introduced ro the conditions progressed from Jungso(中消) of the Interior-Based Symptomatic Pattern in the "Soyangin Interior-heat-disease by the fever in the stomach" section and "Articles added to the Soyangin" section. (3) It is reasonable to think that Soyangin's Gochang is considered to Interior-Based Symptomatic Pattern because the Sinchuk edition is developed from the Gabo edition and Gochang is introduced to Jungso(中消) category after the distinction between Gochang and edema in the Sinchuk edition.

• 대한인간공학회지
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• 제29권4호
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• pp.505-511
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• 2010

The purpose of this study was to show the occurrences of musculoskeletal disease in aging society and basic information on developments of a systematic prevention program and proposed management measures needed to prevent the disease. The Korea Occupational Safety & Health Agency has analyzed cases of industrial accidents that cause musculoskeletal disease, from 1998 to 2007. They found 30,439 people suffering from the disease during those ten years. This information is from the Ministry of Labor's industrial accident analysis and the industrial accident survey from the Korea Occupational Safety & Health Agency. The data was analyzed by age and industrial classification. In Korea, according to the studies on aging society, the occurrence of musculoskeletal disease in elderly employee's have increased, so prevention programs are needed. Psychological, mental and cognitive programs are needed, as well as other prevention programs to ensure health in old age. In this study, we were able to see the state of musculoskeletal disease in aging society and the countermeasures to prevent the disease, such as a universal design, guarantees, and recuperation services. Later, we found that studying the various elderly patients would be of great help to us.

• 한국치위생학회지
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• 제21권5호
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• pp.611-620
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• 2021

Objectives: This study investigated health behavior and nutritional status according to the presence or absence of periodontal disease using data from the Sixth National Health Nutrition Survey. Methods: Data from the 2013-2015 National Health Nutrition Survey were analyzed by frequency analysis, chi-square test, and Pearson's correlation analysis using SPSS 21.0. Results: Periodontal disease was more frequent in the group of patients who perceived that their subjective health status was "very bad" or were underweight according to the BMI classification. In men, periodontal disease occurred more frequently in those who were taking calcium (p<0.05), and periodontal disease occurred more frequently in the age group of 20-39, regardless of sex (p<0.05). In women, periodontal disease was less frequent in the group taking vitamin A. In both men and women, the presence of periodontal disease correlated with high fasting blood sugar and glycated hemoglobin levels. Conclusions: A customized program should be developed for each patient to identify factors that affect the relationship among periodontal disease, nutrient intake, and blood parameters. Such information will help improve the oral health of the population.

• 지적과 국토정보
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• 제50권1호
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• pp.201-214
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• 2020

본 연구는 UAV 영상의 식생지수를 활용한 소나무재선충병 피해목 조기 탐지를 그 목적으로 하며, NDVI를 비롯한 대표적인 식생지수들을 선정하고 각각의 분류 정확도 비교분석을 통해 최적의 식생지수를 분석해보았다. 현장답사를 통하여 193개체의 소나무재선충병 피해목 위치데이터를 구축하고 동시에 다중분광 UAV 영상을 이용하여 4가지 식생지수 분석을 수행하였다. 무감독분류(K-Means)를 통하여 피해목을 분류하였고, 오차행렬(Confusion Matrix)를 이용하여 식생지수별 분류정확도를 비교·분석하였다. 연구의 결과를 요약하면 다음과 같다. 첫째 분류의 전체정확도는 NDVI (88.04%, Kappa계수 0.76) > GNDVI (86.01%, Kappa계수 0.72) > NDRE (77.35%, Kappa계수 0.55) > SAVI (76.84%, Kappa계수 0.54)순으로 분석되어 NDVI가 가장 높은 정확도를 보였으며, GNDVI가 거의 비슷한 수준의 분류정확도를 보였다. 둘째, NDVI 및 GNDVI 식생지수를 이용한 K-Means 무감독 분류방법으로 피해목의 판별이 어느 정도 가능한 것으로 판단된다. 특히 위 기법은 연산이 집약적이고 사용자의 개입이 적고 분석과정이 상대적으로 간단하여 피해목의 조기 탐지에 도움을 줄 수 있을 것으로 판단된다. 향후 시계열영상의 활용 또는 딥러닝기법의 추가 응용으로 분류정확도를 높일 수 있을 것으로 기대한다.