• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.814-827
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• 1998

In this study we analyzed the insurance claims data to investigate the medical care utilization pattern of tuberculosis patients in private sector. We selected the claims of principal or secondary diagnosis with tuberculosis from claims database of National federation of Medical Insurance, from December 1995 to November 1996. Both spell-based analysis and person-based analysis were carried out. In spell-based analysis, type and location of treatment facilities, distribution of diagnoses, number of outpatient/inpatient treatments were analyzed. Additionally in person-based analysis, number of tuberculosis patients, demographic characteristics, number of treatments per person, frequency and pattern of change in source of care were analyzed. The results were as follows 1. The number of treatments with tuberculosis was 863,641 from 1 December 1995 to 30 November 1996. The number of patients was 313.964. 2. Most of tuberculosis patients in private sector were treated in general hospital (45.8%) and clinics(42.2%) 3. About 77.7% of tuberculosis patients who were treated more than two times did not change the source of care. 18,9% of tuberculosis patients changed source of care only once. Even when we limited tuberculosis patient to those who were treated more than five times and whose treatment period were longer than six months, 94.7% of patients did not change source of care at all, or changed treatment facility only once. 4. The probability of change in source of rare was higher in pulmonary tuberculosis, in twenties, and in rural area respectively than other tuberculosis. In conclusion, healer shopping of tuberculosis patients was not serious as expected. However special attention is needed to pulmonary tuberculosis in twenties and rural area.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.89-104
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• 2007

This research attempts to give a personalized recommendation framework in large-sized music contents environment. Despite of existing studios and commercial contents for recommendation systems, large online shopping malls are still looking for a recommendation system that can serve personalized recommendation and handle large data in real-time. This research utilizes data mining technologies and new pattern matching algorithm. A clustering technique is used to get dynamic user segmentations using user preference to contents categories. Then a sequential pattern mining technique is used to extract contents access patterns in the user segmentations. And the recommendation is given by our recommendation algorithm using user contents preference history and contents access patterns of the segment. In the framework, preprocessing and data transformation and transition are implemented on DBMS. The proposed system is implemented to show that the framework is feasible. In the experiment using real-world large data, personalized recommendation is given in almost real-time and shows acceptable correctness.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.50-63
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• 2017

While transit is inconvenient, it is also inevitable for the efficient public transportation. Reducing the number of transfers as much as possible is most important in providing the convenience of public transportation and facilitating the public transportation. As for the public transportation card data, 61,986 items on weekdays and 69,100 items on weekends were collected. Pattern analysis and traffic influence factors were analyzed using traffic data card. Trip chain results revealed that people have more transit transfers for shopping and leasure than commuting purposes on weekends and that commuting distance and time increase by 10 km and 9.9 minutes, respectively. Besides, results of the structural equation model showed that factor 1(total travel time, total travel distance), factor 2(number of people getting on and off), factor 3(transit time), and factor 4(number of bus connections, number of operations) were found to have significant effects on the number of transfers.

• Journal of the Korean Society of Costume
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• v.64 no.8
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• pp.97-110
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• 2014

Animals, as a part of nature, have much influence on children's emotional development and are one of children's favorite subjects of design. This study analyzes the differences in animal expression methods and types of animals, in relation to gender and item based on a collection of children's clothing and accessories that use animal as their theme. The collection consists of 148 clothing and 75 accessories (total of 223 items), which were collected from on-line shopping sites for children's clothes. Analysis results showed the following observations. Animal expression was categorized into four methods: emblem, illustration, character, and pattern.(The most common method was character, followed by pattern, illustration, and emblem. In relation to gender and clothing item, animal expression methods varied widely:(character was the most popular for) boys' t-shirts and accessories, while girls' bottoms and dresses. As for (animal) types, Mammalia was the most common, followed by birds and insects. Dogs and puppies were popular both genders.(However, differences in preferences existed as) boys liked big and wild animals such as bears, tigers, and foxes, while girls liked small and cute animals such as rabbits, cats, owls, and butterflies. Based on these results, six types of animals (rabbits, elephants, large-beaked bird Toco Toucans, fish, penguins, and bees) were selected as themes for kids' vest designs and, among them, three designs were made.

• Journal of muscle and joint health
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• v.4 no.1
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• pp.26-47
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• 1997

The purpose of this study is to explore the treatment pattern of treatment of patients with arthritis. The grounded theory approach methodology was used in this study. The purposive sampling was conducted. 16 subjects who experienced RA, lived in middle sized city in Korea, and all women The results of this study were as follows : 1. The process of treatment was composed of the stage of symptom experience and the stage of sick role experience. The naming of the symptom was conducted in the stage of symptom experience through, the doctor shopping. The sick role experience was patterned by the choice of the treatment mode. 2. The treatment modes were roughly devided by western medicine and oriental or ethnic medicine. Several factors which affected the choice of the treatment mode were patient's economic state, educational level, religion, the acknowledgement of the cause of illness, duration of illness, lay referral system, the relationship of medical staff, and the acculturation of medical professionalism. The key component of the decision of the treatment was the level of the acculturation of medical professionalism. To enhance the acculturation of medical professionalism, we have to provide the information of cause and the prognosis of the disease to the patients and the variety of communication channel between medical staff and patients, and we should understand the medical culture according to the ages, gender, locations in Korea.

• Smart Media Journal
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• v.6 no.3
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• pp.83-88
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• 2017

The data analysis system using Big-data is worthy to be used in various fields such as politics, traffic, natural disaster, shopping, customer management, medical care, and weather information. Particularly, the analysis of the momentum of an individual using an acceleration signal collected from a wearable device has already been widely used. However, since the data used in such a system stores only the data necessary for measuring the individual activity, it does not provide various analysis results other than the exercise amount of the individual. In this paper, I propose a system that analyzes collective behavior pattern and activity based on the acceleration signal that can be collected from personal smartphones for 24 hours a day and stored in big data. I also propose a system that sends acceleration signals and receives analysis results using standard messaging to use on various smart devices.

• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.945-952
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• 2001

In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

• Fashion & Textile Research Journal
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• v.24 no.3
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• pp.279-288
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• 2022

This study aims to derive the need for middle-aged women to consider using fashion product applications, styling, and personalized styling services. To analyze the fashion styling considerations of middle-aged women, 200 women in their 40s and 50s were surveyed. Middle-aged women usually tend to shop through home shopping, department stores, fashion soho (Small office home office) malls, and open market-type applications, and purchase fashion products more than two or three times a month, spending an average of less than 50,000 won per month. Middle-aged women consider choosing appropriate clothing based on the occasion and place, complementing the flaws of the changed body type as well as taking into account the weather in the styling process, and seek to showcase a sophisticated, luxurious, and youthful image through styling. However, they are confused and face difficulties in fashion styling, with regard to not only overall body shape but also partial body changes, such as increasing waistline, flabby thighs and arms, and decreasing hip volume. In addition, middle-aged women were looking for expert advice on styling to help them look the best. They also wanted to solve the difficulties of making a right choice amid the overflowing information related to fashion. The results of the study contribute to identifying products that meet the needs of middle-aged women and help develop detailed consumer-tailored marketing strategies, thereby improving sales of fashion products.

• Journal of muscle and joint health
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• v.6 no.1
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• pp.22-36
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• 1999

The purpose of the study was to identify disease characteristics and behavior pattern of treatment for patients with Fibromyalgia. This study was carried out between May to Aug. in 1998 through direct interview in Rheumatism clinic at H. University Hospital and subject in this study were 125 outpatients diagnosed with Fibromyalgia. Collected data were analyzed by descriptive statistics and t-test, ANOVA using SPSS Window program. The results of this study are as follows. 1. General Characteristics : All of the persons with Fibromyalgia were female who were mostly in their forties(37.5%). A third of them(38.4%) were graduated from high school. The greatest part of them(54.4%) were christians but little part of them(16.8%) were employed 2. Disease Characteristics : They have struggled with Fibromyalgia for 10 years on an average. About half of them(56.9%) suffered from Fibromyalgia only but the others had another diseases which were in greatest part occupied by Osteoarthritis. The number of tender point which is a feature of Fibromyalgia differed according to measuring criteria. Yunus criteria. however, was proved to be the most proper measuring criteria than any other method as it showed high correlations between symptoms and physical activities. The most serious symptoms that complained the patients among subjective symptoms are pain, sleep disorder, and fatigue in sequence, and activities most hard to do among physical activities are washing by hand, scrubbing by hand, and shopping in sequence. 3. Behavior Pattern of Treatment : The largest part of them(42.4%) had received medical treatment after they were determined to have the disease and most of them were taking medicine as prescribed by physician(88.8%) or other medicines(16.8%), Of them, two thirds stated that the medicine they took were effective. Around a third of them took exercises mostly composed of swimming. The medical institution they visited in the past were orthopedic surgical department, Oriental hospital, physical therapy department in sequence and, in a slight percent(11.4%), psychiatric department. 4. Relations between Disease Characteristics and Behavior pattern of Treatment : It shows that number of tender point and level of symptom are significantly different according to duration of disease and medical intervention. As a results, it can be suggest that persons with Fibromyalgia need to take exercises and medicine continually regardless of medical treatment as it is a chronic disease whose symptoms are hardly mitigated.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.65-74
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• 2021

Since 2020, the GuangXi government of China has focused on the deep integration of tea industry with leisure and cultural tourism, popular science education, health care and elderly care industries. Among the output value targets of the tertiary industry, the GuangXi government plans to achieve 25 billion yuan, and the tea industry is developing rapidly. Through questionnaire survey, field research and interview, this paper studies the differences of demand behavior and selection attributes of tea products among consumers in different years, and finally studies the evolution pattern of service mode of tea industry in GuangXi. The results show that there are obvious differences in life and work style, shopping habits, service design, user experience, social needs and personality needs of each generation consumers in different years. Based on the analysis of demand and behavior habits of tea products, the evolution pattern of service mode of tea industry in GuangXi is studied. Based on the above results, according to the differences of consumers' choice of tea products in different years, the service mode of tea industry in GuangXi is improved The development of tea industry in service design, user experience level is worthy of in-depth attention.