• 제목/요약/키워드: medical knowledge-based systems

검색결과 107건 처리시간 0.027초

불면증의 생리학적 모델 (Human Physiological Models of Insomnia)

  • 심현보;유범희
    • 수면정신생리
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    • 제16권1호
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    • pp.5-9
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    • 2009
  • Relatively little is known about the neurobiology of insomnia, despite its wide prevalence and broad medical impact. Although much is still to be learned about the pathophysiology of the disorder, identification, systematic assessment, and appropriate treatment are clearly beneficial to patients. Recent research, using quantitative EEG, polysomnography (PSG), multiple sleep latency test (MSLT) and neuroimaging techniques, suggests that some broad areas can be identified as possible pathophysiological models. Sleep-wake homeostat model hypothesizes a failure in homeostatic regulation of sleep, an attenuated increase in sleep drive with time awake, and/or defective sensing of sleep need. Circadian clock model hypothesizes a dysfunctional circadian clock, resulting in changes in the timing of sleep-wake propensity that are incompatible with normal sleep. Intrinsic sleep-wake state mechanism model suggests that abnormal function of insomnia comprises the systems responsible for expression of the sleep states themselves. Extrinsic over-ride mechanism (stress-response) model suggests that insomnia reflects the consequences of overactivity of one of the systems considered "extrinsic" to normal sleep-wake control. Many current therapies for insomnia are based on these physiological models. Several attempts have been made to create a physiological model that would explain this disorder and could be used as a foundation for treatment. However, it appeared that no model can fully explain and clarify all aspects of insomnia. Future research should be necessary to expand our knowledge on the biological dimensions of insomnia.

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소화기 질환을 위한 인터넷 기반 전문가 시스템 (The Internet based Expert System for Gastroenteritis)

  • 하상호;유일대;천인국;박상흠;김선주
    • 한국멀티미디어학회논문지
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    • 제6권6호
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    • pp.1079-1087
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    • 2003
  • 국외에서는 수많은 종류의 의료 전문가 시스템이 개발되어 의사의 진단 및 처방에 효과적으로 활용되고 있으나, 국내에서 인터넷 기반의 의료 전문가 시스템의 개발 사례는 매우 미흡한 편이다. 본 논문에서는 인터넷을 통해서 손쉽게 사용 가능한 의료 진단 전문가 시스템 을 개발한다. 이 시스템은 Java 기술과 Java와 연동 가능한 전문가 시스템 셀 Jess를 사용하여 개발된다. 따라서 개발된 시스템은 특정 컴퓨팅 플랫폼에 독립 되 어 사용 가능하다는 특징 을 갖는다. 또한, 시스템의 지식 베이스를 구성하는 사실들과 규칙들을 통합하지 않고 구분하여 구성함으로써 지식베이스의 수정과 확장이 용이하다는 특징을 갖는다.

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온톨로지에 기반한 간호진단 지식모델의 설계 (Design of Knowledge Model of Nursing Diagnosis based on Ontology)

  • 이인근;김화선;이성희
    • 한국지능시스템학회논문지
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    • 제22권4호
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    • pp.468-475
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    • 2012
  • 간호사는 NANDA, NIC, NOC과 같은 간호과정의 표준 가이드라인에 따라 간호 실무를 수행하고, 간호과정에 대한 정보를 전자의무기록 시스템에 기록하고 있다. 특히, NANDA는 간호진단 분류체계로써 간호진단의 추상적인 개념을 나타내고 있어, 상세한 간호진단 내용의 표현에 어려움이 있다. 그로 인해, 국내 병원에서는 자체적으로 간호진단 목록을 정의하여 사용하고 있으나, 이들은 표준이 적용되지 않아 간호기록의 전산화가 어려운 문제점이 있다. 따라서 본 논문에서는 NANDA와 SNOMED-CT와 같은 표준 용어체계를 참조하여 간호진단 개념을 표현하기 위한 온톨로지로 구축 방법론을 제시한다. 제안한 방법은 각 병원 및 분야에서 주로 사용하는 간호진단 목록을 체계적으로 구축함으로써 의료정보 시스템 간의 상호운용이 가능하고 지식의 확장이 용이하도록 한다. 제안한 방법에 따라 경북대학교병원의 여성건강 간호기록 진술문을 분석하고, 간호진단 정보의 추출 및 정련을 통해 112개의 간호진단 용어를 생성하였다. 그리고 이 용어를 이용하여 여성건강 간호진단 온톨로지를 구축하였고, 전문가 평가 및 실험을 통해 개발한 온토롤지의 타당도와 실용성을 확인하였다.

Cloud-based Healthcare data management Framework

  • Sha M, Mohemmed;Rahamathulla, Mohamudha Parveen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권3호
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    • pp.1014-1025
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    • 2020
  • Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

처방명 연계를 위한 유니코드 한자 기반의 한글-한자 매핑정보 구축에 관한 연구 (A study on Mapping the Unicode based Hangul-Hanja for prescription names in Korean Medicine)

  • 전병욱;김안나;김지영;오용택;김철;송미영;장현철
    • 한국한의학연구원논문집
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    • 제18권3호
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    • pp.133-139
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    • 2012
  • Objective : UMLS is 'Ontology' which establishes the database for medical terminology by gathering various medical vocabularies representing same fundamental concepts. Method : Although Chinese character are represented in the Chinese part of Korean Unicode system in a computer, writing of Chinese characters is vary depending on Chinese input systems and Chinese writers' levels of knowledge. As the result of this, representation of Chinese writing in a computer will be considerably different from an old Chinese document. Therefore, a meaningful relationship between digital Chinese terminology and translated Korean is necessary in order to build Ontology for Chinese medical terms from Oriental medical prescription in a computer system. Result : This research will present 1:1 mapping information among the Chinese characters used in the Oriental medical prescription with analysis of 'same character different sound' and 'same meaning different shape' in Chinese part of Unicode systems. Conclusions : Furthermore, the research will provide top-down menu of relationship between Chinese term and Korean term in medical prescription with assumption of that the Oriental medical prescription has its own unique meaning.

Computing Semantic Similarity between ECG-Information Concepts Based on an Entropy-Weighted Concept Lattice

  • Wang, Kai;Yang, Shu
    • Journal of Information Processing Systems
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    • 제16권1호
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    • pp.184-200
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    • 2020
  • Similarity searching is a basic issue in information processing because of the large size of formal contexts and their complicated derivation operators. Recently, some researchers have focused on knowledge reduction methods by using granular computing. In this process, suitable information granules are vital to characterizing the quantities of attributes and objects. To address this problem, a novel approach to obtain an entropy-weighted concept lattice with inclusion degree and similarity distance (ECLisd) has been proposed. The approach aims to compute the combined weights by merging the inclusion degree and entropy degree between two concepts. In addition, another method is utilized to measure the hierarchical distance by considering the different degrees of importance of each attribute. Finally, the rationality of the ECLisd is validated via a comparative analysis.

Using Implementation Science to Advance Cancer Prevention in India

  • Krishnan, Suneeta;Sivaram, Sudha;Anderson, Benjamin O.;Basu, Partha;Belinson, Jerome L;Bhatla, Neerja;D' Cruz, Anil;Dhillon, Preet K.;Gupta, Prakash C.;Joshi, Niranjan;Jhulka, PK;Kailash, Uma;Kapambwe, Sharon;Katoch, Vishwa Mohan;Kaur, Prabhdeep;Kaur, Tanvir;Mathur, Prashant;Prakash, Anshu;Sankaranarayanan, R;Selvam, Jerard M;Seth, Tulika;Shah, Keerti V;Shastri, Surendra;Siddiqi, Maqsood;Srivastava, Anurag;Trimble, Edward;Rajaraman, Preetha;Mehrotra, Ravi
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권9호
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    • pp.3639-3644
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    • 2015
  • Oral, cervical and breast cancers, which are either preventable and/or amenable to early detection and treatment, are the leading causes of cancer-related morbidity and mortality in India. In this paper, we describe implementation science research priorities to catalyze the prevention and control of these cancers in India. Research priorities were organized using a framework based on the implementation science literature and the World Health Organization's definition of health systems. They addressed both community-level as well as health systems-level issues. Community-level or "pull" priorities included the need to identify effective strategies to raise public awareness and understanding of cancer prevention, monitor knowledge levels, and address fear and stigma. Health systems-level or "push" and "infrastructure" priorities included dissemination of evidence-based practices, testing of point-of-care technologies for screening and diagnosis, identification of appropriate service delivery and financing models, and assessment of strategies to enhance the health workforce. Given the extent of available evidence, it is critical that cancer prevention and treatment efforts in India are accelerated. Implementation science research can generate critical insights and evidence to inform this acceleration.

한방전문간호사 교육과정 개발 연구 (A Study for a Curriculum for the Oriental Clinical Nurse Specialist Program)

  • 이향련;김귀분;조결자;신혜숙;김광주;왕명자;김숙영;김정아;김현실
    • 대한간호학회지
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    • 제30권6호
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    • pp.1467-1478
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    • 2000
  • The purpose of this study was to develop a curriculum for the oriental clinical nurse specialist program based on the understanding of Korean human beings so as to develop nursing as a profession and promote the client's health. The design of this study was based on literature review and nominal group study. The research was managed by East-West Nursing Research Institute of nursing science college at Kyung Hee University. The research team was composed of 17 professors of nursing departments of oriental medical colleges. We obtained opinions from Oriental Nurses Association, Oriental Nursing Research Association, and professors in oriental medical college. We reviewed articles, curriculums of other clinical nurse specialist programs, medical laws and the curriculum development plan for the oriental clinical nurse specialist program from Korean Nurses Association. We discussed a curriculum thoroughly in numerous meetings. We developed a following curriculum: 1. Educational philosophy was founded on the oriental human view which was based on Chun-In union theory. It was founded on the oriental health view which recognized health being in harmony with nature and the balance of body function with the harmony of Yin-Yang in the five elements. In addition, it was founded on oriental nursing view to promote these health states. 2. Educational goals were to train oriental clinical nurse specialists, oriental nursing educators and oriental nursing researchers who developed knowledge of oriental nursing theory, nursing practice and created a leadership. 3. Curriculum consisted of 48 credits, of which 36 credits are based on lectures and laboratory classes and 12 credits are based on clinical practice. 36 credits consisted of 5 general subject credits and 31 core subject credits. General subjects consisted of nursing theory, nursing research, law and ethics. Students who had earned master's degrees are not required to take the general subjects. Core subjects consisted of 11 subjects such as advanced physical examination and laboratory, oriental nursing theory, original text of oriental nursing, oriental medical nursing, oriental pediatric nursing, oriental gynecologic nursing, oriental gerontologic nursing, oriental pharmacology, oriental constitutional nursing, advanced nursing of channels and acupuncture points and laboratory and oriental rehabilitation nursing and laboratory. In addition, clinical practice in a hospital ward, out patient department, herb prepation room, department of physical therapy and health promotion center in oriental medical hospitals for 12 weeks. To admit this program, students should complete prerequisites of introduction to oriental nursing and nursing of channels and acupuncture points. 4. Course contents of each subjects were developed to include the course's goal and objectives and specific items. 5. Evaluation involved lecture, laboratory and in field practice. We applied various evaluation systems and methods that were based on both knowledge and skills of the students to ensure full credibility and validity.

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Data Mining for Knowledge Management in a Health Insurance Domain

  • Chae, Young-Moon;Ho, Seung-Hee;Cho, Kyoung-Won;Lee, Dong-Ha;Ji, Sun-Ha
    • 지능정보연구
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    • 제6권1호
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    • pp.73-82
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    • 2000
  • This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

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온톨로지를 이용한 의학용어의 개념 모델링 사례 분석 연구 (A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology)

  • 이현실
    • 정보관리학회지
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    • 제21권3호
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    • pp.141-160
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    • 2004
  • 최근 의학정보 분야에서는 임상의 지식관리와 의학정보 검색의 효율화를 위한 수단으로 온톨로지의 개념 모델링을 이용한 의학용어 시스템에 관심이 모아지고 있다. 본 연구는 우리나라의 의학정보 분야에 이러한 시스템의 응용이나 새로운 시스템 개발애 기초적인 자료제공을 목적으로 , 정보 모델링과 온톨로지의 이론에 대해 고찰하였고, 외국의 의학정보 분양에서 온톨로지를 이용한 용어 시스템이 개발된 4가지 대표적인 사례를 분석하여 비교하였다. 연구결과 비형식적인 수준의 온톨로지로 파악된 MeSH의 의학용어 표준화와 UMLS의 용어 개념화, 형식적인 수준의 온톨로지인 ON9의 의학 온톨로지 통합의 이론화, 그리고 GALEN의 의학지식의 의미 모델과 형식화로 핵심적 특징을 요약할 수 있었다. 온톨로지의 응용은 목적하는 시스템에 따른 수준적 차별화가 이루어져야 하 것이고, 본 연구의 분석 결과가 참고 될 수 있을 것이다.