• 제목/요약/키워드: Genetic knowledge

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국내 종양유전상담 간호사를 위한 단기 교육프로그램 개발 (The First Korean Cancer Genetic Counseling Program for Nurses)

  • 최경숙;구웬앤더슨;전명희
    • 한국간호교육학회지
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    • 제12권1호
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    • pp.104-114
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    • 2006
  • Genetic knowledge for oncology nurses is important in Korea because oncologists are incorporating genetic counseling and genetic testing into their practice. The purpose of this paper is to describe our method of developing the first academic cancer genetic risk assessment and counseling course for Korean nurses. A one-week (non-credit) cancer genetics counseling program was constructed for master's level Korean oncology nurses. The course emphasized basic genetic concepts and principles the genetics of cancer; hereditary cancer syndromes; family history assessments; pedigree construction; risk calculation; surveillance recommendations and treatment options ethical, legal, social, and psychological issues inherent in genetic testing. The goals of this program are to: 1) provide a comprehensive knowledge base for nurses who are currently expanding their scope of practice into the genetic counseling role 2) introduce this knowledge to nurses who want to use it in their practice; and 3) provide cancer genetic knowledge and resources to Korean nursing faculty who plan to incorporate this knowledge into existing master's courses. This academically-based course is recognized as valuable by nurses, nursing faculty, and physicians. With this new knowledge nurses can begin toexpand their role in delivering comprehensive cancer care services.

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간호대학생이 인지하는 유전학에 대한 지식과 태도 및 유전간호 역량 (Undergraduate Nursing Students' Perceived Knowledge and Attitudes Toward Genetics and Nursing Competencies for Genetics)

  • 최현경
    • Journal of Korean Biological Nursing Science
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    • 제16권2호
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    • pp.69-79
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    • 2014
  • Purpose: The purpose of this descriptive, cross-sectional study was to examine Korean undergraduate nursing students' perceived knowledge and attitudes toward genetics. Nursing competencies for genetics among nursing students were also assessed. Methods: Two hundred eighty-six Korean junior and senior undergraduate nursing students who went through their clinical practicum completed a packet of self-report questionnaires exploring opinions about the integration of genetics into the nursing curriculum, as well as their perceived knowledge, attitudes, and nursing competencies toward genetics. Collected data were analyzed using descriptive statistics, t-test, one-way ANOVA. Results: Overall, Korean undergraduate nursing students reported limited genetic knowledge, but most of them were comfortable with drawing pedigree. In general, nursing students were competent in providing genetic nursing. Their genetic nursing competencies were significantly different depending on the level of general understanding of genetics. There was no significant difference between juniors and seniors regarding knowledge, attitudes, and competencies toward genetics. More than 60% of nursing students reported the need for genetic nursing, and the majority considered lectures to be the most effective method to learn genetic knowledge. Conclusion: It is imperative to integrate genetics into nursing curriculum in order to improve nursing students' genetic nursing competencies as well as genetic knowledge.

유전적 프로그래밍과 SOM을 결합한 개선된 선박 설계용 데이터 마이닝 시스템 개발 (Development of Data Mining System for Ship Design using Combined Genetic Programming with Self Organizing Map)

  • 이경호;박종훈;한영수;최시영
    • 한국CDE학회논문집
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    • 제14권6호
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    • pp.382-389
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    • 2009
  • Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.

The Nurses′ Knowledge and Perception of Their Role in Genetics

  • Kim, Mi-Young
    • 대한간호학회지
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    • 제33권8호
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    • pp.1083-1092
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    • 2003
  • Purpose. The purpose of the study was to assess the level of nurses' genetic knowledge and the perception of nurses' role in genetics. The ultimate goal of this paper is to educate practicing nurses so that they can counsel individuals and families with genetic problems, on the basis of better understanding of genetic diseases. Methods. A total of 969 clinical nurses in 11 general hospitals completed a self-administered questionnaire including basic genetic knowledge and perception of their role. The instruments were made by the author with the help of some experts on genetics. T-test, ANOVA, and Pearson Correlation were used to analyze the data. Results. The results of this study indicated that nurses revealed a vast knowledge deficit in genetics and the need for genetic content in nursing curriculum. The results also showed that nurses' sources of information about genetics largely came from the mass media. The nurses also expressed great interest in educating and counseling patients. Overall, the survey found a positive correlation between the nurses' level of knowledge and their degree of interest in genetics. Conclusion. In conclusion, education and training of clinical nurses in genetics is critical in integrating genetics with nursing science. Therefore, the development of educational programs for nursing knowledge and counseling as well as basic curriculums in genetic nursing at universities are essential in the near future.

국내 간호사의 유전성 유방암에 대한 지식정도 조사연구 (The Knowledge of Hereditary Breast Cancer in Korean Nurses)

  • 최경숙;소향숙;태영숙;은영;서순림;이우숙;정혜선;김연희;주명순;이유미;정지영;김광호;전명희
    • 한국간호교육학회지
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    • 제12권2호
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    • pp.272-279
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    • 2006
  • Background: After Genome project, cancer genetic information is being rapidly changing. Everyday nurses are incorporating current cancer genetic knowledge and genetic testing into their practice. So their cancer genetic knowledge is important for ensuring quality of cancer patient care and education. Purpose: This study is performed for describing the Korean nurses' current knowledge level about the hereditary breast cancer. Method: This national wide survey used 15-item questionnaire which is modified from the Breast Cancer Genetic Counseling Knowledge Questionnaire originally developed by Erblich et al.(2005). Three hundred and nine nurses were recruited for this survey from April 1, 2006 to September 30, 2006. Result: Nurses' knowledge level about the hereditary breast cancer was not high. Clinical nurses with master degree, working large hospital located in Seoul had higher knowledge about hereditary breast cancer. Education related to cancer genetics was significantly impact on the level of nurses' knowledge. Conclusion: Cancer genetic educational program for Korean nurses is strongly needed for delivering cancer care services sensitive to ever-changing cancer genetic information.

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The Hybrid Knowledge Integration Using the Fuzzy Genetic Algorithm

  • Kim, Myoung-Jong;Ingoo Han;Lee, Kun-Chang
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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    • pp.145-154
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    • 1999
  • An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes the hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

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The Hybrid Knowledge Integration Using the Fuzzy Genetic Algorithm

  • Kim, Myoung-Jong;Ingoo Han;Lee, Kun-Chang
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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    • pp.145-154
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    • 1999
  • An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes th hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

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조선기술지식 활용을 위한 유전적 프로그래밍 기반의 데이터 마이닝 도구개발 (Development of Data Mining Tool for the Utilization of Shipbuilding Knowledge based on Genetic Programming)

  • 이경호;오준;박종현;박종훈
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.185-191
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    • 2006
  • As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledges and data. But, they don't have data minning tool to utilize accumulated data. This paper treats development of data minning tools for the utilization of shipbuilding knowledge based on genetic programming (GP).

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Evolution of the Behavioral Knowledge for a Virtual Robot

  • Hwang Su-Chul;Cho Kyung-Dal
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권4호
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    • pp.302-309
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    • 2005
  • We have studied a model and application that evolves the behavioral knowledge of a virtual robot. The knowledge is represented in classification rules and a neural network, and is learned by a genetic algorithm. The model consists of a virtual robot with behavior knowledge, an environment that it moves in, and an evolution performer that includes a genetic algorithm. We have also applied our model to an environment where the robots gather food into a nest. When comparing our model with the conventional method on various test cases, our model showed superior overall learning.

장액성 난소암 환자의 유전성 난소암에 대한 지식 및 불안정도 (Knowledge and Anxiety Related to Hereditary Ovarian Cancer in Serous Ovarian Cancer Patients)

  • 이상희;이향규;임명철;김수
    • 여성건강간호학회지
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    • 제25권4호
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    • pp.365-378
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    • 2019
  • Purpose: The awareness of hereditary breast and ovarian cancer (HBOC) and BRCA testing is increasing in Korea. Compared to the sizable research on HBOC knowledge among breast cancer women, studies in the ovarian cancer population are limited. This paper aimed to investigate the level of knowledge of hereditary ovarian cancer and anxiety in women diagnosed with serous ovarian cancer in Korea and determine differences in the knowledge and anxiety according to whether genetic testing was undertaken and whether BRCA1 or BRCA2 mutations were present. Methods: Using a descriptive research design, a cross-sectional survey was conducted on 100 women diagnosed with serous ovarian cancer at N hospital in Gyeonggi-do, Korea, from July to November 2018. The collected data were analyzed by descriptive statistics, independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient using the SPSS 21.0 program. Results: The hereditary ovarian cancer-related knowledge score was mid-level (mean score 8.90±3.29 out of a total of 17), as was the state anxiety level was mid-level (mean score 47.96±3.26 out of possible score range of 20-80). Genetic knowledge of hereditary ovarian cancer was associated with age, education, occupation, genetic counseling, and BRCA mutations. There were no statistically significant factors related to anxiety and there were no statistically significant correlations between knowledge level and anxiety. Conclusion: More comprehensive education on gene-related cancer is needed for ovarian cancer patients, especially for items with low knowledge scores. A genetic counseling protocol should be developed to allow more patients to alleviate their anxiety through genetic counseling.