• 제목/요약/키워드: clinical information resources

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인용정보와 연구자 홈페이지를 이용한 디지털 도서관 장서개발 방안 연구 (Developing Digital Library Collection Using Citation and Homepage Information)

  • 이지연
    • 정보관리학회지
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    • 제24권1호
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    • pp.301-319
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    • 2007
  • 오늘날 정보환경은 정보이용자로 하여금 도서관 장서뿐만 아니라 다양한 디지털 정보자원으로의 접근을 가능하게 하였다. 변화하는 환경에서 이용률이 증가하는 디지털 정보자원으로 웹사이트, 각종 데이터, 홈페이지 등을 들 수 있다. 이 연구는 ISI Web of Knowledge의 Essential Science Indicators에서 제공하는 인용정보를 이용하여 임상의학 분야의 피인용 횟수가 높은 저자들과 이 저자들의 논문을 인용한 저자들의 홈페이지에 수록된 연구 성과물을 추출한 후, 의학대학 디지털 도서관 및 학술포털과 비교 분석하였다. 10,000여명의 저자 중 연구 성과물 정보를 제시하는 146명의 홈페이지 연구정보를 분석하였는데, 홈페이지에서만 제공하는 연구정보는 학술지 논문, 단행본, 학술대회 발표논문, 강의노트를 포함하였다. 이 중 학술지 논문은 약 15%, 단행본은 약 32% 학술대회 발표논문은 약 48%, 강의노트는 100% 모두 홈페이지를 통해서만 접근할 수 있는 연구 성과물로 분석되었다. 실제로 의학대학도서관과 학술포털에서 제공하는 연구정보가 대부분 일치했던 점을 고려할 때, 저명한 연구자들의 홈페이지를 통한 연구정보의 확충이 디지털 도서관 장서개발의 양적, 질적 향상을 위한 방안이 될 수 있다.

허혈성 뇌졸중의 진단, 치료 및 예후 예측에 대한 기계 학습의 응용: 서술적 고찰 (Machine learning application in ischemic stroke diagnosis, management, and outcome prediction: a narrative review)

  • 은미연;전은태;정진만
    • Journal of Medicine and Life Science
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    • 제20권4호
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    • pp.141-157
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    • 2023
  • Stroke is a leading cause of disability and death. The condition requires prompt diagnosis and treatment. The quality of care provided to patients with stroke can vary depending on the availability of medical resources, which in turn, can affect prognosis. Recently, there has been growing interest in using machine learning (ML) to support stroke diagnosis and treatment decisions based on large medical data sets. Current ML applications in stroke care can be divided into two categories: analysis of neuroimaging data and clinical information-based predictive models. Using ML to analyze neuroimaging data can increase the efficiency and accuracy of diagnoses. Commercial software that uses ML algorithms is already being used in the medical field. Additionally, the accuracy of predictive ML models is improving with the integration of radiomics and clinical data. is expected to be important for improving the quality of care for patients with stroke.

Automated Audiometry: A Review of the Implementation and Evaluation Methods

  • Shojaeemend, Hassan;Ayatollahi, Haleh
    • Healthcare Informatics Research
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    • 제24권4호
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    • pp.263-275
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    • 2018
  • Objectives: Automated audiometry provides an opportunity to do audiometry when there is no direct access to a clinical audiologist. This approach will help to use hearing services and resources efficiently. The purpose of this study was to review studies related to automated audiometry by focusing on the implementation of an audiometer, the use of transducers and evaluation methods. Methods: This review study was conducted in 2017. The papers related to the design and implementation of automated audiometry were searched in the following databases: Science Direct, Web of Science, PubMed, and Scopus. The time frame for the papers was between January 1, 2010 and August 31, 2017. Initially, 143 papers were found, and after screening, the number of papers was reduced to 16. Results: The findings showed that the implementation methods were categorized into the use of software (7 papers), hardware (3 papers) and smartphones/tablets (6 papers). The used transducers were a variety of earphones and bone vibrators. Different evaluation methods were used to evaluate the accuracy and the reliability of the diagnoses. However, in most studies, no significant difference was found between automated and traditional audiometry. Conclusions: It seems that automated audiometry produces the same results compared with traditional audiometry. However, the main advantages of this method; namely, saving costs and increased accessibility to hearing services, can lead to a faster diagnosis of hearing impairment, especially in poor areas.

소비자의 의약품안전성 인식정도 및 관련정보 획득경로 (Public Perception and Routes of Acquiring Information on Drug Safety)

  • 지은희;김수경;오정미;이숙향
    • 한국임상약학회지
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    • 제21권4호
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    • pp.311-318
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    • 2011
  • Misinformation and inappropriate use of medication has become one of the most pressing concerns in drug safety. The purpose of this study was to survey public perception on drug safety as well as the channels most relied upon providing such information. The survey was performed for patients or their families visiting pharmacies in a local city in Korea. Analysis was performed from 367 respondents to the survey. The contents of this survey revealed that consumers were aware of the fact that medications should not be taken at any higher dosage or more often than directed by their prescriptions. The survey revealed a general awareness that symptoms might not be relieved immediately by their medications. However, the perception that there could be adverse drug reaction (ADR) at therapeutic dose was low except among the young or highly educated members. Respondents recognized that skin rashes were the most whereas drowsiness was the least common ADR symptom. There was a high awareness of drug-food or drug-drug interactions except in the case of certain nutraceuticals. Doctors and pharmacists were ranked as the most reliable resources to the consumer for providing drug related information. However, public relations or education programs were in need since there were still not negligible numbers of consumers depending on personal experience rather than health professionals.

와파린 복용 환자를 위한 메신저 기반 챗봇 개발 (Development of Warfarin Talk: A Messenger Chatbot for Patients Taking Warfarin)

  • 이한솔;김유리;신은정;장홍원;조윤희;조윤숙;김정훈;이주연
    • 한국임상약학회지
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    • 제30권4호
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    • pp.243-249
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    • 2020
  • Background: Despite the increased use of direct-acting oral anticoagulants, warfarin is still recommended as first-line therapy in patients with mechanical valves or moderate to severe mitral stenosis. Anticoagulation management services (AMSs) are warranted for patients receiving warfarin therapy due to the complexity of warfarin dosing and large interpatient variability. To overcome limited health care resources, we developed a messenger app-based chatbot that provides information to patients taking warfarin. Methods: We developed "WafarinTalk" as an add-on to the open-source messenger app KakaoTalk. We developed the prototype chatbot after building a database containing seven categories: 1) dosage and indications, 2) drug-drug interactions, 3) drug-food interactions, 4) drug-diet supplement interactions, 5) monitoring, 6) adverse events, and 7) precautions. We then surveyed 30 pharmacists and 10 patients on chatbot reliability and on participant satisfaction. Results: We found that 80% of the pharmacists agreed on the consistency of chatbot responses and 44% agreed on the appropriateness of chatbot. Furthermore, 47% of pharmacists said that they were willing to recommend the chatbot to patients. Of the seven categories, information on drug-food interaction was the most useful; 90% of patients said they were satisfied with the chatbot and 100% of patients said they were willing to use it when they were unable to see a pharmacist. We updated the prototype chatbot with feedback from the survey. Conclusion: This study showed that warfarin-related information could be provided to patients through a messenger application-based chatbot.

Natural language processing techniques for bioinformatics

  • Tsujii, Jun-ichi
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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    • pp.3-3
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    • 2003
  • With biomedical literature expanding so rapidly, there is an urgent need to discover and organize knowledge extracted from texts. Although factual databases contain crucial information the overwhelming amount of new knowledge remains in textual form (e.g. MEDLINE). In addition, new terms are constantly coined as the relationships linking new genes, drugs, proteins etc. As the size of biomedical literature is expanding, more systems are applying a variety of methods to automate the process of knowledge acquisition and management. In my talk, I focus on the project, GENIA, of our group at the University of Tokyo, the objective of which is to construct an information extraction system of protein - protein interaction from abstracts of MEDLINE. The talk includes (1) Techniques we use fDr named entity recognition (1-a) SOHMM (Self-organized HMM) (1-b) Maximum Entropy Model (1-c) Lexicon-based Recognizer (2) Treatment of term variants and acronym finders (3) Event extraction using a full parser (4) Linguistic resources for text mining (GENIA corpus) (4-a) Semantic Tags (4-b) Structural Annotations (4-c) Co-reference tags (4-d) GENIA ontology I will also talk about possible extension of our work that links the findings of molecular biology with clinical findings, and claim that textual based or conceptual based biology would be a viable alternative to system biology that tends to emphasize the role of simulation models in bioinformatics.

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우리나라 전문간호사제도 개선방안에 관한 연구 (A Study on the Establishment of Clinical Nurse Specialist)

  • 변영순;김영임;송미숙
    • 지역사회간호학회지
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    • 제5권2호
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    • pp.130-146
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    • 1994
  • Our medical care system is trying to diversify in order to meet the client's needs, and to adjust to a medical environment which is changing very rapidly. Because current nursing theory and practice focus on holistic care, health care management, education, and research, contrary to the traditional emphasis on only assisting a physician, more autonomy and specialization for the implementation of nursing are required. Considering these trends and actual needs, the category of clinical nurse specialist should be established as soon as possible. In order to develop strategies for implementing this new professional specialty, the authors conducted a field survey and literature review of the current system in Korea. As a result, various obstacles and constraints were discovered as follows : 1) There are few accredited educational programs for the training of CNS's. 2) Several hospitals already have staff designated as clinical nurse specialist (CNS) even though the term CNS is not yet standardized or adopted in nationwide. 3) The role of the CNS is not clearly understood by the medical societies, or even nursing societies. A nurse who works in specific nursing areas such as central supply, kidney dialysis, intensive care, coronary care, etc. for a long time, considers herself /himself a CNS. Based upon the above findings, the following alternatives are recommended. 1) The role of the CNS should be defined according to specified functions and authority : professional autonomy ; counselling and educating patients and their familes, nurses, and even other medical personnel ; research on improvement of nursing ; and management of the nursing environment including medical resources, information, and cases. 2) the qualification of CNS should be attained only by a nurse who has an RN license and clinical experience of more than 3 years in a specific nursing field: passes a qualifying examination; and contributes to the professional development of peers, colleagues, and others. A master's degree should only be optional, because of the insufficient of graduate programs which are well designed for the CNS. 3) The CNS should initially be a head nurse rather than line staff in order to deal with as wide an experience base as possible. 4) The nursing specialty could be divided into two areas such as a clinical field and a community field. The clinical field could then be categorized by the Styles' classification such as diseases and pathogenics, systems, ages, acuity, skills/techniques, and function/role ; the community field could be classified according to work site.

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국내 의과대학 교수의 암정보 활용 현황과 요구도 (The Current Status of Utilization and Demand on Cancer Information in the Faculties of Medical School in Korea)

  • 임민경;박숙경;양정희;이영성
    • Journal of Preventive Medicine and Public Health
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    • 제36권1호
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    • pp.39-46
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    • 2003
  • Objectives : To investigate the availability and demand for overall cancer-related information, and to establish a basic plan for the construction of a cancer database and information system based on the research results from Korea. Methods : Postal and telephone surveys were carried out, between August 2001 and November 2001, of 323 affiliated faculty professors from medical universities and colleges in Korea. The data were analyzed with descriptive statistical methods, with regard to the present status and demand for health and cancer-related information. Results : Most (over 80%) subjects studied utilized the health-related information provided on Internet website from foreign countries, such as Medline, but similar comprehensive information system lacked in Korea. The construction of a cancer-related database of domestic research results was revealed to be in a great demand. Information on registration and statistics (52.8%), study results (48.5%) and study resources (37.4%) were the major ingredients required in the database. In constructing a database of the cancer-related research results, a full-text service, continuous updating of data, and the development of standardized user-friendly searching tool were regarded as the necessary components. The formulation of an information sharing system, regarding cancer-related clinical trials, was investigated as being quite feasible. Conclusion : This study demonstrated the great importance of cancer information systems, and much demand for an available cancer-related database based on Korean research results.

Review of Neospora caninum and neosporosis in animals

  • Dubey, John-P.
    • Parasites, Hosts and Diseases
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    • 제41권1호
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    • pp.1-16
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    • 2003
  • Neospora caninum is a coccidian parasite of animals. It is a major pathogen for cattle and dogs and it occasionally causes clinical infections in horses, goats, sheep, and deer. Domestic dogs are the only known definitive hosts for N. caninum. It is one of the most efficiently transmitted parasite of cattle and up to 90% of cattle in some herds are infected. Transplacental transmission is considered the major route of transmission of N. caninum in cattle. Neospora caninum is a major cause of abortion in cattle in many countries. To elicit protective immunity against abortion in cows that already harbor a latent infection is a major problem. This paper reviews information on biology, diagnosis, epidemiology and control of neosporosis in animals.

사례기반추론을 이용한 대용량 데이터의 실시간 처리 방법론 : 고혈압 고위험군 관리를 위한 자기학습 시스템 프레임워크 (Data Mining Approach for Real-Time Processing of Large Data Using Case-Based Reasoning : High-Risk Group Detection Data Warehouse for Patients with High Blood Pressure)

  • 박성혁;양근우
    • 한국IT서비스학회지
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    • 제10권1호
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    • pp.135-149
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    • 2011
  • In this paper, we propose the high-risk group detection model for patients with high blood pressure using case-based reasoning. The proposed model can be applied for public health maintenance organizations to effectively manage knowledge related to high blood pressure and efficiently allocate limited health care resources. Especially, the focus is on the development of the model that can handle constraints such as managing large volume of data, enabling the automatic learning to adapt to external environmental changes and operating the system on a real-time basis. Using real data collected from local public health centers, the optimal high-risk group detection model was derived incorporating optimal parameter sets. The results of the performance test for the model using test data show that the prediction accuracy of the proposed model is two times better than the natural risk of high blood pressure.