• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.51-63
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• 2008

It is important to develop standard metadata to give more plentiful information about the forest cover type map and to promote distribution by National Geographic Information Clearinghouse. In this study metadata for the forest cover type map was designed based on TTAS.IS-19115 and it consisted of 10 packages and 50 elements. Also metadata editor was developed to implement metadata with standard schema and metadata viewer to service more user friendly interface. This work was about the first standard metadata for forest GIS data. So it would be a useful reference to develop metadata for other digital map concerning forest.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.299-300
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• 2014

생명과학분야에서는 생명현상을 이해하기 위해 신호 전달 네트워크에 대한 연구가 진행되고 있다. 하지만 신호전달 네트워크와 임상 정보를 결합하여 질병관점에서 신호 전달 네트워크를 통합하고 결합하는 관점의 연구가 부족하다. 따라서 본 논문에서는 빅데이터 기술을 활용하여 임상 및 신호전달 정보를 연계 분석할 수 있는 시스템을 구축하고자 빅데이터 분석을 위한 임상 및 바이오 정보 통합 데이터베이스를 설계한다. 설계한 임상 및 바이오 정보 통합 데이터베이스는 빅데이터 분석 기술을 적용한 확장 분석 기법 및 통합 분석 시스템 개발에 활용할 수 있다.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.4
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• pp.244-252
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• 2023

The timeliness and accuracy of test results are crucial factors for clinicians to decide and promptly administer effective and targeted antimicrobial therapy, especially in life-threatening infections or when vital organs and functions, such as sight, are at risk. Further research is needed to refine and optimize matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based assays to obtain accurate and reliable results in the shortest time possible. MALDI-TOF MS-based bacterial identification focuses primarily on techniques for isolating and purifying pathogens from clinical samples, the expansion of spectral libraries, and the upgrading of software. As technology advances, many MALDI-based microbial identification databases and systems have been licensed and put into clinical use. Nevertheless, it is still necessary to develop MALDI-TOF MS-based antimicrobial-resistance analysis for comprehensive clinical microbiology characterization. The important applications of MALDI-TOF MS in clinical research include specific application categories, common analytes, main methods, limitations, and solutions. In order to utilize clinical microbiology laboratories, it is essential to secure expertise through education and training of clinical laboratory scientists, and database construction and experience must be maximized. In the future, MALDI-TOF mass spectrometry is expected to be applied in various fields through the use of more powerful databases.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.156-166
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• 2020

This study was intended to investigate differences in the recognition of the importance and performance of clinical nutrition management by using IPA. For the study, 100 clinical nutritionists working at medical institutions were analyzed. In all 17 categories of nutritional management, significant differences were observed in awareness of performance and importance. The categories with the greatest difference in importance and performance awareness were the nutritionist's participation in clinical nutrition education and related job development activities(1.38), and the lowest categories were the provision of therapeutic meals(0.69). Since IPA analysis results showed that participation in clinical nutrition education and related task development were both low in importance and performance, it should be improved first. A way to improve is for nutritionists to receive internal and external education. Above all things, for effective treatment, policies to include clinical nutritionist in the category of medical personnel, and cooperation between the medical sector and nutrition service management are necessary.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.353-361
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• 2024

Simulation education is a method that allows learners to learn repeatedly in realistic simulated situations. It solves the limitations of clinical practice that lacks direct nursing performance and is useful for acquiring and developing the knowledge, nursing skills, communication skills, learning self-efficacy, and clinical reasoning required for nursing students. The purpose of this study was identify the effects of High fidelity simulation-based education on communication ability, learning self-efficacy and clinical reasoning of nursing students. The subjects were 84 nursing students who were enrolled in the senior who had received simulation training using dysphagia patient care scenario. Data were analyzed using SPSS/WIN 22.0. As a result, There was a statistically significant difference in the communication ability, learning self-efficacy, clinical reasoning. And the mean score of simulation effectiveness is 2.64 points (a perfect score of three). Therefore, In order to improve the communication ability, learning self-efficacy and clinical reasoning of nursing students, it is necessary to develop and apply realistic scenarios that reflect various clinical situations.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.281-289
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• 2013

As the number of clinical trials conducted in Korea increases, the need of the Electronic Data Capture (EDC) system for effective clinical data management is also increased. Recently, the Korea Food and Drug Association published 'Guideline for the Electronic Clinical Trial Data Management and Processing' and it would be the foundation for establishing regulation of electronic clinical data management. In this research, we conducted the survey regarding adoption rate of EDC system in clinical trials in hospitals, Contract Research Organizations (CRO), and pharmaceutical companies. And the perceived importance and the ease of application for the Guideline were investigated. The adoption rates of EDC system was 77.6% but it mostly applied to less than five trials. Also EDC system was mostly used in phase I and phase II trials and the utilization rate of CRO was the highest. The perceived importance for the Guideline was high among all three organizations but, in case of the perceived ease of its application, CRO was the highest. Also, the perceived importance of the clinical data standard was high and the standard for data collection was mostly required. However, the comprehension for the global standard of the electronic data was relatively low, so that education is required. This result would be the foundation to increase the electronic clinical trials and develop proper regulation and principles for clinical data standards in Korea.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.4
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• pp.249-255
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• 2022

Alzheimer's disease (AD) represents a major public health concern and has been identified as a research priority. Clinical research evidence supports that the core cerebrospinal fluid (CSF) biomarkers for AD, including amyloid-β (Aβ42), total tau (T-tau), and phosphorylated tau (P-tau), reflect key elements of AD pathophysiology. Nevertheless, advances in the clinical identification of new indicators will be critical not only for the discovery of sensitive, specific, and reliable biomarkers of preclinical AD pathology, but also for the development of tests that facilitate the early detection and differential diagnosis of dementia and disease progression monitoring. The early detection of AD in its presymptomatic stages would represent a great opportunity for earlier therapeutic intervention. The chance of successful treatment would be increased since interventions would be performed before extensive synaptic damage and neuronal loss would have occurred. In this study, the importance of developing an early diagnostic method using cognitive decline biomarkers that can discriminate between normal, mild cognitive impairment (MCI), and AD preclinical stages has been emphasized.

• 대한치과교정학회:학술대회논문집
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• 2004.11a
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• pp.37.1-37.1
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• 2004

• 대한치과교정학회:학술대회논문집
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• 2002.11a
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• pp.28.1-28.1
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• 2002

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.13-22
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• 2021

The clinical decision support system uses accumulated medical data to apply an AI model learned by machine learning to patient diagnosis and treatment prediction. However, the existing black box-based AI application does not provide a valid reason for the result predicted by the system, so there is a limitation in that it lacks explanation. To compensate for these problems, this paper proposes a system model that applies XAI that can be explained in the development stage of the clinical decision support system. The proposed model can supplement the limitations of the black box by additionally applying a specific XAI technology that can be explained to the existing AI model. To show the application of the proposed model, we present an example of XAI application using LIME and SHAP. Through testing, it is possible to explain how data affects the prediction results of the model from various perspectives. The proposed model has the advantage of increasing the user's trust by presenting a specific reason to the user. In addition, it is expected that the active use of XAI will overcome the limitations of the existing clinical decision support system and enable better diagnosis and decision support.