• Tuberculosis and Respiratory Diseases
• /
• v.41 no.3
• /
• pp.205-214
• /
• 1994

만성 폐쇄성 폐질환(COPD)은 하부 기도 즉 말초기도의 지속적인 미만성 폐쇄로 인하여 불가역성 기류폐쇄를 나타내는 질환을 말하며, 임상적으로 만성 기관지염과 폐기종으로 분류할 수 있으나, 이들은 기능적으로나 병리적으로 서로 중첩되어 임상적으로 명확하게 구별할 수 없기 때문에 만성적, 비특이적으로 진행하는 기류폐쇄의 포괄적인 용어로 COPD를 사용한다. COPD의 특징적인 병리변화는 소기도 즉 막성 세기관지염과 호흡세기관지염이며, 호흡세기관지염을 동반하는 폐기종의 중증도가 기류폐쇄의 정도를 결정하는 중요한 인자로 작용한다.

• Journal of the Korean Society for information Management
• /
• v.21 no.3
• /
• pp.141-160
• /
• 2004

Recent reseach in the field of medical information systems has paid much attention to an ontology based medical terminology system to support clinical study and effective information search. This study aims to conduct research for further application or construction of ontology systems in Korea. This research reviews the theory of concept modeling and ontology. and analyses 4 cases of conceptual modeling of medical tenrminologies by ontology, The findings ot this study display these specific characteristics in medscal ontologies: (UHe standardization of terrrinology on MeSH. (2) The conceptualization of tenninology on UMLS. (l) ane. (2) are showed as untormal ontologies. (3) The theory of ontology integration in ON9, (4) The reference model of medical knowledge with formalization in GALEN. (3) and (4) are showed as formal ontologies. The application and construction of ontology should be differentiated according to the level of the proposed system, and then this analysis will provide useful information for the researcher and developer of the system.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.681-693
• /
• 2022

The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

• The Journal of Korean Medicine
• /
• v.17 no.1 s.31
• /
• pp.302-328
• /
• 1996

I . Objective and significance of the study To design a data acquisition chart, which facilitates data collection and analysis. The chart is also useful for solving problems that arise from personal variations in clinical symptoms and filling the knowledge base of an expert system. II. Content and scope 1. Collect the diagnosis knowledge of cerebrovacular diseases from doctors and analyze it. 2. Design a data acquisition chart. 3. Compare ODS and doctors with respect to their diagnosis results 4. Select patients who are determined to suffer from cerebrovascular diseases using CT(computed tomographic) scan, collect clinical data from them. III. Results and Application The chart be used for data collection and analysis in different medical hospitals, The results of data analysis facilitates collecting clinical data about other diseases and implementing the knowledge base. Also, the collected data serves as a tool for medical education, and cooperative diagnosis of oriental and western medical doctors.

• The Journal of the Korean dental association
• /
• v.22 no.4 s.179
• /
• pp.281-284
• /
• 1984

요즈음 문헌은 물론 구강병리학 Textbook에게까지 새로운 질환의 용어가 기제되고 있는 것 중에서 Odontogenic Carcinoma라는 이름 아래 악골에서 발생하는 암종에 대하여 기술하고 있어 이는 특히 우리 치과의사의 입장에서 기초나 임상에서 그 발생기전이나 치료면에 이르기까지 유의해야 할 문제라고 생각된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.05c
• /
• pp.1551-1554
• /
• 2003

최근 다양한 의료정보 시스템이 개발되어, 그 사용이 급증하고 있다. 이 들 각각의 의료정보 시스템에서 발생, 축적된 의료정보는 분산 이질의 형태를 가지며, 또한 같은 의미를 갖는 의료정보가 각기 다른 구조와 용어로 기술되어 축적되는 것이 일반적이다. 이와 같이 개별적으로 개발, 활용되어 온 의료정보를 웹 상에서 통합하여, 단일화 된 의료정보 검색 기능을 제공하기 위해서는 이들 의료정보의 의미적 연관성을 고려한 정보의 통합, 검색 기술의 개발이 필수적이다. 본 논문에서는 의미적 의료정보의 통합을 위한 UMLS와 LOINC 데이터베이스 기반의 연관 값 지식베이스의 설계 및 개발 방식을 제안한다. 웹 상에 존재하는 각종 분산 이질 형태의 의료정보는 XML을 공통 데이터 구조로 하여 통합되며, 정보 통합의 과정에서 연관 값 지식베이스를 참조하여 의미적 관련도가 높은 의료정보(구조 정보와 내용 정보)는 상호 연결되어, 진정한 의미의 정보 통합을 구현하게 된다. 지식베이스는 용어별로 식별자, 요소명, 연관값, 복수형, 동의어, 한글 이름 등의 필드틀 가지며, 현재 상담, 처방, 보험, 의료용어, 증상, 임상결과 등 적용분야 별로 작성된 연관 값 지식베이스가 구현되어 있다.

• 한국어정보학회:학술대회논문집
• /
• 2016.10a
• /
• pp.51-55
• /
• 2016

본 논문에서는 임상 의사 결정 지원을 위한 UMLS와 위키피디아를 이용하여 지식 정보를 추출하고 질병중심 문서 클러스터와 단어 의미 표현을 이용하여 질의 확장 및 문서를 재순위화하는 방법을 제안한다. 질의로는 해당 환자가 겪고 있는 증상들이 주어진다. UMLS와 위키피디아를 사용하여 병명과 병과 관련된 증상, 검사 방법, 치료 방법 정보를 추출하고 의학 인과 관계를 구축한다. 또한, 위키피디아에 나타나는 의학 용어들에 대하여 단어의 효율적인 의미 추정 기법을 이용하여 질병 어휘의 의미 표현 벡터를 구축하고 임상 인과 관계를 이용하여 질병 중심 문서 클러스터를 구축한다. 추출한 의학 정보를 이용하여 질의와 관련된 병명을 추출한다. 이후 질의와 관련된 병명과 단어 의미 표현을 이용하여 확장 질의를 선택한다. 또한, 질병 중심 문서 클러스터를 이용하여 문서 재순위화를 진행한다. 제안 방법의 유효성을 검증하기 위해 TREC Clinical Decision Support(CDS) 2014, 2015 테스트 컬렉션에 대해 비교 평가한다.

• Korean Journal of Clinical Laboratory Science
• /
• v.49 no.4
• /
• pp.477-488
• /
• 2017

This study presents a discussion on the biomedical laboratory science (formally clinical laboratory science or medical laboratory science) with the identity of biomedical laboratory science, as well as the academic classification system for systematic approach. The field of biomedical laboratory science is not registered in the academic research area classification system of the National Research Foundation of Korea. Since the inception of the first department of biomedical laboratory science in 1963, about 52 departments were since established. Despite the scientific identity, biomedical laboratory science have not been acknowledged professionally in most institutions. Observing the academic research area classification, the physical therapy, occupational therapy, and dental hygiene science are systematically classified and approved the identities by the authorities. This study is freshly academic area classification system of the biomedical laboratory science. The contents of this study are summarized as follows. The medical laboratory technologist's discipline is considered within the medical and science category, clinical pathology in class, and biomedical laboratory science in division. Sections of biomedical laboratory science include hematology, transfusionology, immunology, biochemistry, microbiology, parasitology, science, molecular biology, histology, cytology, cardiopulmonary physiology, and neurophysiology.

• Journal of Digital Convergence
• /
• v.18 no.9
• /
• pp.433-440
• /
• 2020

The purpose of this study is to analyze the research trend by conducting a systematic review of domestic research on clinical fieldwork in occupational therapy. From 2000 to 2019, papers registered in the Google Scholar, RISS, KISS, and National Library of Korea databases were searched. The search term was "Occupational Therapy" AND "Clinical Fieldwork", and a total of 8 studies were finally selected. As a result of analyzing the research trend, the most frequently used data collection method were surveys 6 studies(75.0%), and the most frequent subject were occupational therapy students was 6 studies(75.0%). The most frequent main theme was satisfaction of clinical fieldwork 4 studies(50.0%). In the future, it was confirmed that quantitative and qualitative growth of clinical research related to occupational therapy in Korea is needed.

• Journal of the Semiconductor & Display Technology
• /
• v.13 no.1
• /
• pp.97-99
• /
• 2014

Since 2010, issues for data sharing and data exchanging in hospital information systems have been emerged. In order to solve the issues, standards should be applied to develop the systems and there should be no ambiguities between terminologies in the systems. In this paper, the terminology mapping system for narrative clinical records was implemented. The term mapping precision was 83.4%. This system could help to upgrade the text based clinical system and it would be expected to support for high quality clinical services.