• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2945-2951
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• 2009

By observing and classifying the articles that are centering around the forecasting information which are dealing with the health related articles in the mass media such as the daily press, KBS1 9 O'clock news, and TV broadcast station's health serialization program, this research was to fulfill ultimately to present health predicted execution for the data on the present state of analysis for the general public to acquire the health related information and to practice the presented basic data of the useful health information to the patients and general public by understand the tendency of the health related information that is presented to the general public. The period of the subject for analysis conducted in a year, started in January 1st, 2006 and finished in December 31st 2006. The research sampled about 50% of the subject of analysis by using the computer's random sampling in considering the quantity of work. Look in to the subject of health information, the daily news paper illustrated in the order of the cause of diseases and dangerous factor (15.5%), the medical treatment and techniques, the medication(15.4%), and the health promotion(14.6%), and the TV news presented the subject on the cause of diseases and dangerous factor(27.5%) the most, and the least presented in the order of the mechanics(24.2%), and the administrator(11.3%).

• Journal of KIISE
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• v.44 no.10
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• pp.1026-1033
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• 2017

In this paper a Bayesian modeling and duration-based prediction method is proposed for health clinic time series data using the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). HDP-HMM is a Bayesian extension of HMM which can find the optimal number of health states, a number which is highly uncertain and even difficult to estimate under the context of health dynamics. Test results of HDP-HMM using simulated data and real health clinic data have shown interesting modeling behaviors and promising prediction performance over the span of up to five years. The future of health change is uncertain and its prediction is inherently difficult, but experimental results on health clinic data suggests that practical long-term prediction is possible and can be made useful if we present multiple hypotheses given dynamic contexts as defined by HMM states.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1305-1308
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• 2005

Recently, the basic research which is supported by engineering has been studied in order to develop oriental medicine scientifically. However, the research only has been limited to quantization, visualization and generalization of biological signal. In this paper, we studied about the effects to 12 Kyungmaks of Body based on meridian theory in oriental medicine after Taichi practice. we measured the heating time on the key measuring point of the meridian of the human body's left and right by using heating machine. After taichi practice than other stimulation, experimental results showed that disharmony state of meridian had changed to harmony state more quickly.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2267-2272
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• 2014

Background: Cancer is one of the most common causes of death in Turkey. Nurses are essential providers of preventive care for patients, especially breast, cervical and colorectal cancer screening as part of routine preventive practice. The aim of this study was to assess knowledge of these cancers among nurses in Karabuk State Hospital. Materials and Methods: This cross-sectional and descriptive study was performed from April 1 to July 30, 2013. The study sample consisted of 226 nurses working in Karabuk State Hospital. Results: Mean age of the nurses was $32.07{\pm}8.39$. 62.4% of nurses practiced breast self examination when they remembered it, while 39.8% of them did not take a Pap smear test since they did not think it was necessary. 64.2% of nurses would like to receive information about cancer and screening tests. Majority of them had given true answers to questions on breast, cervical and colorectal cancer. There were significant relationships between cancer knowledge scores and marital status, working experience, and level of education. Conclusions: Nurses possess adequate knowledge about breast cancer but they need more information on cancer risk estimation. Awareness may be raised in nurses by establishing continuing education programs regarding the risk factors, symptoms, protection methods, early diagnosis, and scanning of breast, cervix and colon cancers.

• Journal of the Korean Society for Library and Information Science
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• v.19
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• pp.63-112
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• 1990

The environment of the modern library is changing rapidly with advancements in information technology, massive increse in information, and with the changing needs of users for information in order to keep up with developments in science and technology. The library should also be in a constant state of change in accordance with the changing environment. But the current situation is that library organizations in Korea do not show any change. Here arises the need to diagnose the health of these organization. Organizational innovations can be achieved either by change in the organizational structure or administrative methods or in personal attitudes. In making organizational innovations, however, it is not sufficient only to change the organizational structure or the administrative methods without changing personal attitudes. The purpose of this thesis is to diagnose the health of university library organizations in Korea and to suggest prescriptions based on the results of this diagnosis, by means of organization development theory. In this study, the action research model and the diagnostic model were developed for the health of university library organization in Korea. The action research model consisted of 3 steps: diagnosis, intervention and evaluation. The diagnostic model comprised diagnostic criterion and diagnostic indicators. The health of an organization was selected as the diagnostic criterion. Diagnostic indicators were divided into 3 levels: personal job-satisfaction at the individual level, cohesiveness at the group level, and the organizational climate at the organizational level. Both the interview and the questionaire were used as diagnostic methods. The questionaire form was designed according to the Likert typle 5-point scale. For the investigation, 10 university libraries were selected from the private universities in Seoul, and questionaire sheets were sent to their 156 librarians and responses were received from 116 persons. An interview was carried out with a selected chief of departments of the library concerned. The results of the diagnosis show that the average personal job­satisfaction was 3.57, the group cohesiveness was 3.15 and organizational climate was 2.93, and accordingly the comprehensive health indicator was 3.22. The health of university library organizations in Korea was generally on the decline at all 3 levels. In particular, the organizational climate was in a very weak state. Most problems concern dissatisfaction with personnel policy, communications and non-professionally qualified directors. As the prescriptions, the following was suggested: institutionalization of the staff meeting for resolving problems with communication, appointement of professional directors, performance appraisal, conferring faculty status for librarians, and a suggest system. And for the improvement of the organizational climate, managerial grid training was suggested as one of the educational strategies for organizational development.

• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.626-640
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• 2008

Purpose: The aim of this study was to construct leisure physical activity model of middle-aged women in urban area. Methods: Data were gathered by self-report questionnaire from 211 women aged between 41 and 59 years in urban community. The data were analyzed using the SPSS/WIN 10.0 program and the model was constructed using the LISREL 8.54 program. Results: Variables that have direct effects on leisure physical activity were health state, past leisure physical activity, social support, self-efficacy, and affect. Perceived leisure state and behavioral leisure attitude also influenced leisure physical activity in an indirect way. Perceived leisure state had a direct effect on self-efficacy. Behavioral leisure attitude, past leisure physical activity, and experience of exercise effect had significantly direct effects on affect Conclusion: It will provide basic information for developing strategies of programs to enhance leisure physical activity of middle-aged women in urban area.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.83-94
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• 2013

Purpose: The purpose of the study was to examine the sexual behavior and awareness of sexually transmitted diseases (STD) among the elderly. Methods: Subjects were 599 elderly living in a metropolitan area who completed a structured questionnaire. Data collection was from September 6, 2011 to January 17, 2012. The data were analyzed by using percentage and ${\chi}^2$-test. Results: Approximately 25% of the subjects reported a sexual life. Age, gender, education, family type, presence and health of spouse, health state of the subject, past occupation, dwelling pattern, and economic state made statistically significant difference in sexual behavior. Fifty five percent of the respondents reported no knowledge of STD. Factors such as age, gender, education, presence of spouse, and past occupation were statistically significant in terms of awareness of STD. Conclusion: Age, education, and presence of spouse should be factored in to understand the sexuality of the elderly as well as to develop sexuality counseling programs that provide adequate information for each individual.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.2
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• pp.84-93
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• 2021

Airline schedule is the most basic data for flight operations and has significant importance to an airline's management. It is crucial to know the airline's current schedule status in order to effectively manage the company and to be prepared for abnormal situations. In this study, machine learning techniques were applied to actual schedule data to examine the possibility of whether the airline's fleet state could be artificially learned without prior information. Given that the schedule is in categorical form, One Hot Encoding was applied and t-SNE was used to reduce the dimension of the data and visualize them to gain insights into the airline's overall fleet status. Interesting results were discovered from the experiments where the initial findings are expected to contribute to the fields of airline schedule health monitoring, anomaly detection, and disruption management.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1254-1271
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• 2018

Keyphrase extraction is one of fundamental natural language processing (NLP) tools to improve many text-mining applications such as document summarization and clustering. In this paper, we propose to use two novel techniques on the top of the state-of-the-art keyphrase extraction methods. First is the anti-patterns that aim to recognize non-keyphrase candidates. The state-of-the-art methods often used the rich feature set to identify keyphrases while those rich feature set cover only some of all keyphrases because keyphrases share very few similar patterns and stylistic features while non-keyphrase candidates often share many similar patterns and stylistic features. Second one is to use the dependency graph instead of the word co-occurrence graph that could not connect two words that are syntactically related and placed far from each other in a sentence while the dependency graph can do so. In experiments, we have compared the performances with different settings of the graphs (co-occurrence and dependency), and with the existing method results. Finally, we discovered that the combination method of dependency graph and anti-patterns outperform the state-of-the-art performances.

• Journal of Environmental Health Sciences
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• v.42 no.5
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• pp.302-313
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• 2016

Objectives: This study was conducted to assess environmental health status on a local scale using environmental health-related indicators. It demonstrated the possibility of using a structural equation model, a methodological approach to provide synthesized information. Methods: Eighteen indicators were selected from official statistical data published by local governments. Each environmental health-related indicator was classified according to the PSR (pressure-state-response) model. Aggregation methods were performed using principal component analysis and fuzzy sets. Results: The five principal components were classified through principal component analysis (PCA) and obtained eigenvalues >1.0 from the initial 18 indicators. The aggregated index was obtained by condensing the original information into two broad and simple categories through fuzzy sets. Conclusion: This could be useful in that the aggregation procedure may provide a basis for establishing environmental health policies and a decision-making process. However, the availability and quality of indicators, assessment of aggregation method bias, choice of weighted scores for indicators, and other factors should be examined in future studies.