• 한국환경과학회지
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• 제25권1호
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• pp.127-134
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• 2016

This study is conducted to get current state of data collection and utilization of the trees damaged by pine wilt disease, and to efficiently collect and utilize of the trees damaged by the pine wilt disease and abandoned fumigation-treated trees at forecasts. The method to control pine wilt disease damaged area is mostly fumigation treatment system, and there is no collection and utilization of damaged trees because of absence of efficient collection system, lack of collection cost, and absence of policy, etc. A survey is conducted that asked about the satisfaction degree for the trees damaged by pine wilt disease collection and use divided into 6 topics. It was positively recognized that the need and problem of the trees damaged by pine wilt disease, and results and satisfaction of forestry mechanization while it was mostly negatively recognized that the policy satisfaction for prevention and collection, satisfaction of collection and use, collection and forestry mechanization, and satisfaction of foundation equipment for forestry mechanization, etc. As a result of path analysis, it is necessary to promote a high-tech forestry mechanization to improve satisfaction level of results and satisfaction of forestry mechanization for the trees damaged by pine wilt disease collection and utilization, it is also need to make an effort in various ways for improve satisfaction level of satisfaction of collection and utilization.

• Journal of Preventive Medicine and Public Health
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• 제41권4호
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• pp.219-224
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• 2008

Due to heightened concerns regarding possible bioterrorist attacks, the Korea Center for Disease Control and Prevention introduced syndromic surveillance systems, which have been run by emergency departments in hospitals throughout Korea since 2002. These systems are designed to identify illness clusters before diagnoses are confirmed and reported to public health agencies, to mobilize a rapid response, and thereby to reduce morbidity and mortality. The Korea Center for Disease Control and Prevention performed drop-in syndromic surveillance successfully during the World Cup Football Games in 2002, the Universiad games in 2004, and the Asian Pacific Economic Cooperation meeting in 2005. In addition, sustainable syndromic surveillance system involving the collaborative efforts of 125 sentinel hospitals has been in operation nationwide since 2002. Because active data collection can bias decisions a physician makes, there is a need to generate an automatic and passive data collection system. Therefore, the Korea Center for Disease Control and Prevention plans to establish computerized automatic data collection systems in the near future. These systems will be used not only fur the early detection of bioterrorism but also for more effective public health responses to disease.

• International Journal of Oral Biology
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• 제46권1호
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• pp.1-6
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• 2021

Since the outbreak of coronavirus disease 2019 (COVID-2019), the infection has spread worldwide due to the highly contagious nature of severe acute syndrome coronavirus (SARS-CoV-2). To manage SARS-CoV-2, the development of diagnostic assays that can quickly and accurately identify the disease in patients is necessary. Currently, nucleic acid-based testing and serology-based testing are two widely used approaches. Of these, nucleic acid-based testing with quantitative reverse transcription-PCR (RT-qPCR) using nasopharyngeal (NP) and/or oropharyngeal (OP) swabs is considered to be the gold standard. Recently, the use of saliva samples has been considered as an alternative method of sample collection. Compared to the NP and OP swab methods, saliva specimens have several advantages. Saliva specimens are easier to collect. Self-collection of saliva specimens can reduce the risk of infection to healthcare providers and reduce sample collection time and cost. Until recently, the sensitivity and accuracy of the data obtained using saliva specimens for SARS-CoV-2 detection was controversial. However, recent clinical research has found that sensitive and reliable data can be obtained from saliva specimens using RT-qPCR, with approximately 81% to 95% correspondence with the data obtained from NP and OP swabs. These data suggest that self-collected saliva is an alternative option for the diagnosis of COVID-19.

• Journal of Periodontal and Implant Science
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• 제53권5호
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• pp.336-346
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• 2023

Purpose: The Korea Oral Biobank Network (KOBN) was established in 2021 as a branch of the Korea Biobank Network under the Korea Centers for Disease Control and Prevention to provide infrastructure for the collection, management, storage, and utilization of human bioresources from the oral cavity and associated clinical data for basic research and clinical studies. Methods: To address the need for the unification of the biobanking process, the KOBN organized the concept review for all the processes. Results: The KOBN established standard operating procedures for the collection, processing, and storage of oral samples. Conclusions: The importance of collecting high-quality bioresources to generate accurate and reproducible research results has always been emphasized. A standardized procedure is a basic prerequisite for implementing comprehensive quality management of biological resources and accurate data production.

• 한국통신학회논문지
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• 제38C권12호
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• pp.1095-1105
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• 2013

본 논문에서는 헬스 케어 시스템에서 효율적으로 질병을 관리할 수 있는 RDMS(Rough Set Theory based Disease Monitoring System)을 제안한다. RDMS는 DCM(Data Collection Module), RDRGM(RST based Disease Rule Generation Module), HMM(Healthcare Monitoring Module)로 구성된다. DCM은 바이오센서로부터 환자의 생체 정보를 수집하고, 데이터 처리 절차에 따라 RDMS DB에 저장한다. RDRGM은 RST의 코어와 속성의 지지율을 이용하여 질병 규칙을 생성한다. HMM은 DCM에 의해 수집된 환자 정보를 이용하여 환자의 질병에 대한 위험지수뿐만 아니라 질병에 대한 합병증에 관한 위험지수까지 분석함으로써 환자의 질병을 예측하고, 환자의 위험지수에 따라 환자, 주치의 등에 시각화된 환자의 정보를 전달한다. 또한, RDRGM에 의해 생성된 규칙들에 따라 환자의 의료정보, 현재의 환자건강상태, 환자 가족력 등을 비교분석하여 환자의 질병을 예측하고, 예측결과에 따라 환자 맞춤형 의료 서비스와 의료 정보를 신속하고 신뢰성 있게 제공할 수 있다.

• 성인간호학회지
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• 제23권4호
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• pp.309-320
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• 2011

Purpose: The purpose of the study was to examine the related factors of quality of life (QOL) among patients with Chronic Obstructive Pulmonary Disease (COPD). Methods: Patients diagnosed with COPD (N=230) were recruited from four hospitals in Kyeong-Nam province, from March 2 to November 30, 2010. The data collection instruments were the Short Form 36, perceived dyspnea measure by Modified Medical Research Council, COPD and Asthma Sleep Impact Scale, COPD Self-efficacy Scale, and Center for Epidemiologic Studies Depression Scale were used. Following the completion of the data collection instruments Pulmonary function was tested. Data were analyzed with descriptive statistics, Pearson correlation and simultaneous multiple regression using SPSS/WIN. Results: The mean QOL of this study was 68.24. Using a multivariate approach, the significant correlates of QOL were depression (${\beta}$=-.37), dyspnea (${\beta}$=-.28), self-efficacy (${\beta}$=.20), and a sufficient degree of household income (${\beta}$=.16). These variables explained 49% of variance in QOL. Conclusion: The study suggests that psychological aspects are an important factor in explaining QOL of the patients. Screening and minimizing depression could be effective strategies in enhancing QOL of patients with COPD and further investigation to reduce depression could warrant the improvement of QOL in patients with COPD.

• 한국컴퓨터정보학회논문지
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• 제29권5호
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• pp.93-100
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• 2024

4차 산업혁명의 도래와 함께 인공지능, 빅데이터, 사물인터넷, 클라우드 컴퓨팅 등의 첨단 정보 기술이 다양한 산업 분야에서 혁신을 이끌고 있다. 이 기술들은 방대한 양의 데이터를 생성하고 있으며, 많은 기업들이 이를 활용하고 있다. 그러나 개인 데이터 수집 시 발생할 수 있는 프라이버시 침해 위험으로 인해 사용자들은 민감한 정보 제공을 망설이고 있다. 특히 의료 분야에서는 환자의 병명과 같은 민감한 정보 수집이 큰 도전이 되고 있으며, 프라이버시 문제가 데이터 수집과 분석의 장애가 되고 있다. 본 연구는 프라이버시 보호를 유지하면서도 통계적 정보를 효과적으로 추출할 수 있는 의료 데이터 수집 및 분석 기법을 제안한다. 제안 기법은 기존의 단순한 데이터 수집을 넘어서, 프라이버시를 보장하면서 수집된 데이터에서 통계적 정보를 효과적으로 추출하는 방법을 포함한다. 실제 데이터를 이용한 성능 평가에서는 제안된 기법이 기존 방법보다 더 효과적으로 프라이버시를 보존하며 통계적 정보를 도출할 수 있음을 입증한다.

• 대한핵의학회지
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• 제29권4호
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• pp.478-483
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• 1995

We compared the influences of reconstruction methods using $180^{\circ}$ or $360^{\circ}$ data upon contrasts and discriminating capability and diagnostic accuracy in $^{99m}Tc-MIBI$ stress/rest myocardial SPECT. We reviewed SPECT images reconstructed only with $180^{\circ}$ projection data or with $360^{\circ}$ data in 18 patients and in 11 normal subjects. To compare counts of surface structures and deep structures, we measured ape# posterior wall ratios in 11 normal subjects. To compare the contrasts of images, we measured apex/ventricle ratios. To compare contrasts between normal and diseased myocardial segments, we measured count ratios of defect and normal segments in 4 patients who had single coronary artery diseases. To compare diagnostic accuracy, we scored SPECT images made with $180^{\circ}$ and $360^{\circ}$ data segmentally. Sensitivity and specificity for the diagnosis of coronary artery disease and for the revelation of diseased arteries with both $180^{\circ}$ and $360^{\circ}$ SPECT images. If involved coronary arteries had more narrowing than 50% In coronary angiogram, we considered them as diseased arteries Apex/posterior wall ratios were not different significantly in normal subjects. Apex/ ventricle ratios in normal subjects were different significantly between $180^{\circ}$ and $360^{\circ}$ SPECT images. Defect/normal ratios were different significantly between $180^{\circ}$ and $360^{\circ}$ SPECT images in single vessel disease patients. The overall diagnostic accurracy was the same between $180^{\circ}$ and $360^{\circ}$ data collection. Sensitivity was 94% and specificity was 91% for both types of data collection in this sample population. Sensitivity and specificity of each coronary artery territory were not significantly different between the images made with $180^{\circ}$ and $360^{\circ}$ data. The images made with $180^{\circ}$ data had better contrast between ventricle and myocardium and between hypoperfused and normal myocardium, though no difference was found between the ratios of the myocardial counts of surface and deep structures. However, diagnostic sensitivities of diseased artery territories were not different significantly and so were overall diagnostic accuracy between both methods of making images with $180^{\circ}$ and $360^{\circ}$ data.

• The Plant Pathology Journal
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• 제38권4호
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• pp.395-402
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• 2022

To predict rice blast, many machine learning methods have been proposed. As the quality and quantity of input data are essential for machine learning techniques, this study develops three artificial neural network (ANN)-based rice blast prediction models by combining two ANN models, the feed-forward neural network (FFNN) and long short-term memory, with diverse input datasets, and compares their performance. The Blast_Weathe long short-term memory r_FFNN model had the highest recall score (66.3%) for rice blast prediction. This model requires two types of input data: blast occurrence data for the last 3 years and weather data (daily maximum temperature, relative humidity, and precipitation) between January and July of the prediction year. This study showed that the performance of an ANN-based disease prediction model was improved by applying suitable machine learning techniques together with the optimization of hyperparameter tuning involving input data. Moreover, we highlight the importance of the systematic collection of long-term disease data.

• 성인간호학회지
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• 제19권1호
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• pp.12-23
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• 2007

Purpose: The purpose of the present study was to explore the meaning of quality of life in patients with chronic cardiovascular disease. Methods: A grounded theory method guided data collection and analysis. A total of 16 adult outpatients with chronic cardiovascular disease was participated. Data were collected through individual in-depth interviews. All interviews were audio taped and transcribed verbatim. Coding was used to establish different concepts and categories. A theoretical sampling technique was used to obtain diverse data from many relevant categories. Results: Seven categories were extracted, and they divided into constructing and intervening factors of quality of life. Constructing factors were uncertainty, recovery in the sense of control and maintaining social life. Intervening factors were symptom experiences, social support, taking care of themselves, and reflecting life. 'Keeping restrictive conditions under control' was emerged as a core category. The meaning of quality of life in patients with cardiovascular was explained according to the levels of keeping restrictive conditions under control. Conclusion: The result of this study may contribute for health professionals to understand the quality of life in patients with cardiovascular disease.