• Asian Oncology Nursing
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• v.10 no.2
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• pp.240-246
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• 2010

Purpose: Advancing genetic knowledge for oncology nurses is especially important in Korea because physicians have launched to incorporate genetic risk assessment and genetic testing into their practice. The purpose of this paper was to identify the effect of the first academic cancer genetic risk assessment and counseling course for Korean nurses. Methods: Thirty-five nurses were recruited and educated from June 8 to 14, 2006 in Seoul, Korea. Two measurement tools were used: 'knowledge about the hereditary breast and ovarian cancer (HBOC)' and 'knowledge about the cancer genetics'. Results: Students' score of knowledge about HBOC at pre-education was $12.22{\pm}2.23$ and after education, it increased to $13.62{\pm}1.76$. This change was statistically significant (t=-3.253, p=.003). The score of knowledge about cancer genetics at pre-education was $11.31{\pm}3.44$, and after education it has increased to $16.17{\pm}1.94$. It also was statistically significant (t=-6.92, p=.000). Conclusion: This program was effective to be a starting point for establishing genetic educational planning for the oncology nurses in Korea. This academically-based course is recognized as valuable by oncology nurses. With this new knowledge, nurses can begin to expand their role in delivering comprehensive cancer care services in Korea.

• Asia Marketing Journal
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• v.26 no.2
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• pp.129-144
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• 2024

This research is on how people's trust in human-like AI-based service will influence customer engagement (CE). This study will discuss the relationship between trust and CE and explore how people's trust in AI affects CE when they lack knowledge of the company/brand. Items from the philosophical study of trust were extracted to build a scale suitable for trust in AI. The scale's reliability was ensured, and six components of trust in AI were merged into three dimensions: trust based on Quality Assurance, Risk-taking, and Corporate Social Responsibility. Trust based on quality assurance and risk-taking is verified to positively impact customer engagement, and the feelings about AI-based service fully mediate between all three dimensions of trust in AI and CE. The new trust scale for human-like AI-based services on social media sheds light on further research. The relationship between trust in AI and CE provides a theoretical basis for subsequent research.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.5995-5998
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• 2012

Background: Colorectal cancer is one of most common cancers in women and men and one of the major causes of death due to neoplasia. Colonoscopy is considered as the most accurate diagnostic procedure to detect colorectal cancer at the earlier stages. Objectives: The current study aimed to evaluate the effects of an education program using the Theory of Planned Behavior on promoting behavioral intention among first degree relatives of colorectal cancer patients. Materials and Methods: A quasi-experimental study conducted to evaluate the effectiveness of an educational program to promote attitudinal factors associated with early detection of colorectal cancer in 99 first degree relatives of colorectal cancer patients aged more than 20 years in Yazd city, Iran. A researcher made questionnaire forwhich validity and reliability were confirmed by expert point of view and pilot testing was employed for data collection. Questionnaires were filled in before and after educational intervention. The registered data were transferred to SPSS 19 and analyzed by paired T-test, Man-Whitney and Wilcaxon. Results: Mean scores of knowledge, attitude, perceived behavioral control and intention regarding colorectal cancer increased after education significantly (P<0.05). Conclusions: Application of the Theory of Planned Behavior has positive influence on promoting intention behavior. It is therefore recommended to apply educational programs to promote behavioral intention.

• The Korean Journal of Emergency Medical Services
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• v.9 no.2
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• pp.183-206
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• 2005

Nowadays, the whole world is putting in the knowledge information society by the internet which is connecting the global network. The internet enable us to see the life of the other people in real time. Most of health care professional obtain and update their new knowledge and skills through continuing education. EMTs who works five or ten shifts per day are not easy to attend continuing education session usually offered during their off-times. One of solutions to this problem would be to develop a education program which does not limit time and place. There has been increasing interest in the use of computers in medical education, but all designated facilities and teachers have no sufficient preparations for the education and training of EMT. There has been less attention to the rationale for the use and selection of applications. This article discusses an approach to the selection of medical informatics applications for the undergraduate medical curriculum. The aim of this study is to develop and evaluate a web-based continuing education program, to help EMT improve their knowledge of transfusion therapy and medical law, and to enhance their ability to contribute to the quality of patient care. The program generally was well received by EMTs. The program is a useful adjunct to the existing continuing education program. It also could be used in EMT student education and other health sciences.

• International Journal of Knowledge Content Development & Technology
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• v.5 no.1
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• pp.49-68
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• 2015

Given a query (a health question), retrieval of relevant frequently asked questions (FAQs) is essential as the FAQs provide both reliable and readable information to healthcare consumers. The retrieval requires the estimation of the semantic similarity between the query and each FAQ. The similarity estimation is challenging as semantic structures of Chinese healthcare FAQs are quite different from those of the FAQs in other domains. In this paper, we propose a conceptual model for Chinese healthcare FAQs, and based on the conceptual model, present a technique ECA that estimates conceptual similarities between FAQs. Empirical evaluation shows that ECA can help various kinds of retrievers to rank relevant FAQs significantly higher. We also make ECA online to provide services for FAQ retrievers.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.59-62
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• 2018

XML을 대상으로 하는 연구가 최근 5~6년 사이에 꾸준한 증가를 보이며 이루어지고 있지만 대다수의 연구들은 XML을 구성하고 있는 엘리먼트 자체에 대한 통계적인 모델을 기반으로 이루어졌다. 이는 XML의 고유 속성인 트리 구조에서의 텍스트, 문장, 문장 구성 성분이 가지고 있는 의미(semantics)가 명시적으로 분석, 표현되어 사용되기 보다는 통계적인 방법으로만 데이터의 발생을 계산하여 사용자가 요구한 질의에 대한 결과, 즉 해당하는 정보 및 지식을 제공하는 형식이다. 지능형 지식서비스 제공을 위한 환경에 부합하기 위한 정보 추출은, 텍스트 및 문장의 구성 요소를 분석하여 문서의 내용을 단순한 단어 집합보다는 풍부한 의미를 내포하는 형식으로 표현함으로써 보다 정교한 지식과 정보의 추출이 수행될 수 있도록 하여야 한다. 본 연구는 범람하는 XML 데이터로부터 사용자 요구의 의미까지 파악하여 정확하고 다양한 지식을 추출할 수 있는 방법을 연구하고자 한다. 레코드 구조가 아닌 트리 구조 데이터로부터 의미 추출이 가능한 효율적인 마이닝 기법을 진일보시킴으로써 다양한 사용자 중심의 서비스 제공을 최종 목적으로 한다.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.547-552
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• 2010

지식서비스에서는 최근 자사의 지식정보에 대해 대표적인 지식 구축 채널로 발전중인 블로그(Blog)와의 연계를 추구하기 위해 트랙백(Trackback) 서비스 제공하고 있으며 이를 통해 자사를 넘어 다양한 블로그 서비스를 통해 지식 정보를 제공하고 있는 블로그 사이트들 과의 지식 체인(Knowledge Chain)을 형성하고 있다. 본 논문에서는 지식 체인 서비스를 제공하고 있는 다음 커뮤니케이션사의 지식 서비스에 대한 트랙백 주소 확보를 위한 구조 및 환경에 대해 분석 제공하고 있으며, 앞서 언급한 지식서비스와 블로그간의 지식 체인 형성시 필수적으로 요구되는 트랙백 주소 확보를 보다 용이하게 할 수 있도록 웹 기반의 비동기적 통신 스크립트 기술인 AJAX를 이용하는 클라이언트 측의 웹 어플리케이션 형태의 "트랙백 주소 추출 시스템"을 제시 구현하고 있다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.209-210
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• 2015

Since CM policies established in 1996, contracts of CM services are continuously increasing over the past years. As constant improvement of positive awareness about public/private owners and CM capabilities of domestic construction companies, a number of efforts were being made to acquire competitiveness of domestic and overseas CM market. However, there has been lack of quantitative and comprehensive research to investigate CM firms. The purpose of this research is to statistically analyze total of 2,983 CM service contracts over the past 16 years published in KISCON (Knowledge Information System of Construction Industry) in order to examine CM owner type.

• Knowledge Management Research
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• v.19 no.4
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• pp.149-170
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• 2018

Healthcare lifelog, a personal record relating to disease treatment and healthcare, plays an important role in healthcare paradigm shifts in which medical and information technology converge. Healthcare services based on various healthcare lifelogs are being launched domestically by both large corporations and small and medium enterprises, however, they are being built on an individual platform that is dependent on each company. Therefore, the terms of lifelog data are different as well as the measurement specifications are not uniform. This study proposes a reference model for minimum common data required for sharing and utilization of healthcare lifelog. Literature study and expert survey derived 3 domain, 17 essential items, and 51 sub-items. The model provides definition, measurement data format, measurement method, and precautions for each detailed measurement item, and provides necessary guidelines for data and service design and construction for healthcare service. This study has its significance as a basic research supporting the activation of ecosystem by ensuring interoperability of data between heterogeneous healthcare devices linked to digital healthcare platform.