• 한국간호교육학회지
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• 제16권2호
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• pp.239-248
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• 2010

Purpose: This study was done to propose the developmental direction of study related to nursing practice education by grasping the trend of study in fundamental and clinical practice. Method: A total of 48 research articles which were published on nursing practice education in Korea from 2002 to 2009 were analyzed with structured analysis forms. Result: Most research was related to clinical practice (n=40). A high percentage of non-experimental research design was related to fundamental practice (75%) and clinical practice (65%). Qualitative research was only used in clinical practice (n=8). Nursing students were predominantly selected as an object of research in fundamental practice (n=6) and clinical practice (n=32). In addition, many of the areas in clinical practice were a general clinical setting without any classification of the specific area. The concepts of research in fundamental practice were related to competency in basic nursing skill and most concepts of research in clinical practice were associated with satisfaction, stress, experience, critical thinking and problem solving ability of the nursing student. Conclusion: There's something to be desired in nursing research related to instructor methods, teaching-learning methods and nursing education programs. Therefore, more specific and continuous research focused on these topics to improve clinical nursing competence of the nursing student is needed.

• 동서간호학연구지
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• 제17권1호
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• pp.66-70
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• 2011

Purpose: The aim of this study was to examine the types of nursing problems in oriental nursing practice. Methods: This study employed a descriptive survey design. Nursing documentation was retrospectively reviewed for patients discharged from an oriental medicine hospital during three months. Nursing diagnoses documented were mapped into the Clinical Care Classification System. Data were summarized using descriptive statistics. Results: Data were collected from 110 patients using nursing documentation. The number of nursing diagnoses documented was 204 with a mean of 1.9 per patient. The frequently occurring nursing diagnoses were 'risk for trauma' (48.0%), 'pain' (13.7%), and 'urinary elimination alteration' (7.8%). According to the Clinical Care Classification system, the safety component (51.5%) was the most common nursing problem in oriental nursing practice. Conclusion: The study finding suggested that major nursing problems in oriental nursing practice were related to patient safety. Therefore, oriental nursing education on patient safety should be emphasized to improve the quality of nursing care in oriental medicine hospitals.

• 한국측량학회지
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• 제5권2호
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• pp.24-33
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• 1987

본 논문은 원격탐사 Data를 이용한 분야에서 보다 효과적인 좌상처리 기법 및 보다 정확한 분류화상을 얻는 것을 목적으로 하고 있다. 이의 실행을 위해 여름 좌상과 겨울 화상을 합성한 토지이용 분류결과와 여름 화상만의 분류결과를 비교분석 하였다. 위의 분석결과로부터 Bitemporal Classification 기법과 $tan^{-1}$변환이 유효함을 알아내었다. 특히 Bitemporal Classification 기법을 적용함으로써 농경지를 논과 밭으로 구별하여 분류하는 것이 보다 가능하였다.

• 간호행정학회지
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• 제9권4호
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• pp.651-661
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• 2003

Purpose: This is the descriptive research project of which purpose is to acquire the practice, research, and educational data by establishing the database after confirming, classifying, and relating the nursing diagnosis, nursing intervention, and nursing outcome of Breast cancer patients by using the Yoo Hyung-sook's(2001) related 3N database model as the tool. Method : The Nursing Data occurring on Breast cancer patients nursing process was mapped to nursing diagnosis of NANDA, nursing interventions of NIC, nursing outcomes of NOC the 3N database linkage database which is related with the nursing process that was developed by using Yoo Hyung-sook's(2001). Result : 1. The nursing diagnosis were totally 505, and 26 articles of the nursing diagnosis were applied among 149 nursing diagnosis classification systems. 2. As for the nursing intervention, 250 articles(5l.4%) of nursing intervention were applied among 486 nursing intervention classification systems. 3. Regarding the nursing outcome, 28 articles(1l.2%l of the nursing outcome were applied among 250 nursing outcome classification systems. Conclusion: The result of this research in which the relating among the nursing diagnosis, nursing intervention, and nursing outcome of Breast cancer patients by using 3N nursing database was established is thought to be applied in the research and practice as well as to be utilized in the lecture or practice of the nursing process.

• Journal of Preventive Medicine and Public Health
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• 제49권2호
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• pp.139-140
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• 2016

• The Korean Journal of Pain
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• 제26권4호
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• pp.407-408
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• 2013

• Journal of Information Science Theory and Practice
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• 제1권1호
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• pp.10-26
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• 2013

Domain transfer is a widely recognized problem for machine learning algorithms because models built upon one data domain generally do not perform well in another data domain. This is especially a challenge for tasks such as opinion classification, which often has to deal with insufficient quantities of labeled data. This study investigates the feasibility of self-training in dealing with the domain transfer problem in opinion classification via leveraging labeled data in non-target data domain(s) and unlabeled data in the target-domain. Specifically, self-training is evaluated for effectiveness in sparse data situations and feasibility for domain adaptation in opinion classification. Three types of Web content are tested: edited news articles, semi-structured movie reviews, and the informal and unstructured content of the blogosphere. Findings of this study suggest that, when there are limited labeled data, self-training is a promising approach for opinion classification, although the contributions vary across data domains. Significant improvement was demonstrated for the most challenging data domain-the blogosphere-when a domain transfer-based self-training strategy was implemented.

• 한국IT서비스학회지
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• 제2권2호
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• pp.87-95
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• 2003

With the increasing proliferation of World Wide Web, electronic mail systems have become very widely used communication tools. Researches on e-mail classification have been very important in that e-mail classification system is a major engine for e-mail response management systems which mine unstructured e-mail messages and automatically categorize them. in this research we develop e-mail classifiers for e-mail Response Management Systems (ERMS) using naive bayesian learning and centroid-based classification. We analyze which method performs better under which conditions, comparing classification accuracies which may depend on the structure, the size of training data set and number of classes, using the different data set of an on-line shopping mall and a credit card company. The developed e-mail classifiers have been successfully implemented in practice. The experimental results show that naive bayesian learning performs better, while centroid-based classification is more robust in terms of classification accuracy.

• Communications for Statistical Applications and Methods
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• 제29권5호
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• pp.603-614
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• 2022

The naive Bayes classifier is one of the most straightforward classification tools and directly estimates the class probability. However, because it relies on the independent assumption of the predictor, which is rarely satisfied in real-world problems, its application is limited in practice. In this article, we propose employing sufficient dimension reduction (SDR) to substantially improve the performance of the naive Bayes classifier, which is often deteriorated when the number of predictors is not restrictively small. This is not surprising as SDR reduces the predictor dimension without sacrificing classification information, and predictors in the reduced space are constructed to be uncorrelated. Therefore, SDR leads the naive Bayes to no longer be naive. We applied the proposed naive Bayes classifier after SDR to build a recommendation system for the eyewear-frames based on customers' face shape, demonstrating its utility in the top-k classification problem.

• 대한임상검사과학회지
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• 제56권1호
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• pp.21-31
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• 2024

본 연구의 목적은 의료기사를 의료인 종별에 포함시키는 것에 대한 기초 자료를 제시하는 것이다. 의료법에서 의료인을 의사, 치과의사, 한의사, 조산사, 간호사로 정의한다. 의료기사는 임상병리사, 방사선사, 물리치료사, 작업치료사, 치과기공사, 치과위생사로 구분한다. 한국은 의료인에 의료기사를 포함하지 않지만 일본과 대만은 의료인으로 규정하고 있다. 국제표준직업분류(ISCO-08), 한국표준직업분류(KSCO-2017), 일본표준직업분류(JSOC-2009), 대만표준직업분류(TSOC-2010), 미국표준직업분류(SOC-2018) 등의 다양한 표준직업분류를 비교하였다. 의료기사 교육체계는 4년제 대학과 3년제 전문대학 프로그램을 포함하는 것으로 설명하였다. 의료행위, 치료, 진료보조 분야에서 의료기사의 역할을 개략적으로 설명했다. 이러한 기초자료는 의료기사의 의료인 종별 포함의 의미에 대한 논의의 필요성과 의료인 종별 포함과 관련하여 의료기사의 전문성의 합법화에 기여할 것이다.