• Childhood Kidney Diseases
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• v.1 no.1
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• pp.17-23
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• 1997

After the first description of IgA nephropathy by Berger in 1968, the prognosis of this disease was considered favourable. However recent studies have revealed that IgA nephropathy result in end stage renal desease in 25-30% by 20 years. Heavy proteinuria, hypertension, histological high class are regarded as poor prognostic factors. In 1996, Yagame et al reported the new histopathologic grading with a strong correlation between the grading, heavy proteinuria, high s-Cr level and renal survival. The aims of this study are to determine whether the pathological grading and other clinical parameters could contribute to predicting the outcome of this disease eventhough pediatric patients. Seventy nine patients (59 males, 20 females) with IgA nephropathy were examined. Patients were 2.08-15.17 years of age ($9.85{\pm}2.83$). The mean follow-up duration were $27{\pm}28$ months. Six of seventy nine patients progressed to chronic renal failure during the follow-up periods. High 24h urinary protein excretion at diagnosis were significantly higher in chronic renal failure patients (p<0.05). Hypertension at diagnosis were the significant associated factors in progression of chronic renal failure (p<0.05). Histological changes of IgA nephropathy in light microscopy were classified into five classes by WHO classification, four grades in Yagame's gradings. Among the seventy nine patients, 24 were as class 1, 30 as class 2, 23 as class 3; 4 as class 4, 0 as class 5 by WHO classification. 23 were classified grade 1, 31 as grade 2, 24 as grade 3, 1 as grade 4 by Yagame's grading. Among six patients who progressed to chronic renal failure, 1 clssified as class 1, 1 as class 2, 3 as class 3, 1 as class 4, 0 as class 5 by WHO Classification. 1 patients were classified as grade 1, 1 as grade 2, 3 as grade 3, 1 as grade 4 by Yagame's grading. (p>0.05) In conclusion, hypertension and heavy proteinuria at initial presentation were significantly associated with progression of chronic renal failure. The classification of WHO & Yagame's grading has no significant association with the progression of chronic renal failure in pediatric patients.

• Journal of Gastric Cancer
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• v.11 no.2
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• pp.94-100
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• 2011

Purpose: The 7th AJCC tumor node metastasis (TNM) staging system modified the classification of the lymph node metastasis widely compared to the 6th edition. To evaluate the prognostic predictability of the new TNM staging system, we analyzed the survival rate of the gastric cancer patients assessed by the 7th staging system. Materials and Methods: Among 2,083 patients who underwent resection for gastric cancer at the department of surgery, Hanyang Medical Center from July 1992 to December 2009, This study retrospectively reviewed 5-year survival rate (5YSR) of 624 patients (TanyN3M0: 464 patients, TanyNanyM1: 160 patients) focusing on the number of metastatic lymph node and distant metastasis. We evaluated the applicability of the new staging system. Results: There were no significant differences in 5YSR between stage IIIC with more than 29 metastatic lymph nodes and stage IV (P=0.053). No significant differences were observed between stage IIIB with more than 28 metastatic lymph nodes and stage IV (P=0.093). Distinct survival differences were present between patients who were categorized as TanyN3M0 with 7 to 32 metastatic lymph nodes and stage IV. But patients with more than 33 metastatic lymph nodes did not show any significant differences compared to stage IV (P=0.055). Among patients with TanyN3M0, statistical significances were seen between patients with 7 to 30 metastatic lymph nodes and those with more than 31 metastatic lymph nodes. Conclusions: In the new staging system, modifications of N classification is mandatory to improve prognostic prediction. Further study involving a greater number of cases is required to demonstrate the most appropriate cutoffs for N classification.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.229-249
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• 2016

This study was conducted to create a digital archive for local cultural contents compiled from the records of westerners who stayed in Korea during the Enlightenment Period of Chosun. The compiled information were gathered from 22 records, and 10 main subjects, 40 sub-subjects and 239 mini-subjects were derived through the subject classification scheme. Item analysis was conducted through 38 metadata and input data types were classified and databased in Excel. Finally, a web-based digital archiving system was developed for searching and providing information through various access points. Suggestions for future research were made to expand archive contents through continuous excavation of westerners' records, to build an integrated information system of Korean digital archives incorporating individual archive systems, to develop standardization of classification schemes and a multidimensional classification system considering facet structure in cultural heritage areas, to keep consistency of contents through standardization of metadata format, and to build ontology using semantic search functions and data mining functions.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.59-73
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• 2021

This study purpose to empirically investigated the effects of Learning Presence perceived by university students at general universities who took Remote Classification in the first semester of 2020 on Learning Outcomes and the mediating effects of Learning Immersion. A total of 293 students were surveyed by conducting an online survey for about a month from Sep. 15, 2020, targeting college students attending general universities in Seoul and Gyeonggi-do. The results of the study are as follows: First, Learning Presence had an effect on Learning Immersion and Learning Outcomes, and Learning Immersion had an effect on Learning Outcomes. Second, Learning Immersion had a mediating effect on the relationship between Learning Presence and Learning Outcomes. This study is meaningful in that it verified the relationship between Learning Presence, Learning Outcomes, and Learning Immersion perceived by college students who took Remote Classification in COVID19 response dimension.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.309-319
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• 2007

Right comprehension of the natural disaster could reduce the damage of human life and property by explaining the cause of the disaster and considering a counterplan to decrease or prevent it. To do this, it should precede to clarify the category of the natural disaster and classification. Also, when the disaster occurs, swift site survey and the establishment of the data by the professionals should be done for clarifying the reason. Our classification of the natural disaster is written on the Law of the Nature Disaster Relief. But, this classification is made for the management of the disaster, so it is required to review the establishment of the technical information by the professionals. Therefore, the Korean type classification is required considered by the professionals who collect and study the information of the natural disaster for the other countries. If the DB of the natural disaster is made, it is able to get various services through the internet virtual space and it will be helpful to prepare the prevent countermeasures against the disaster. In this research, the korean type classification plan of the natural disaster is suggested which is suitable to the professional technology by collecting and analyzing the domestic and the international classification of the natural disaster.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• Journal of Service Research and Studies
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• v.8 no.1
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• pp.89-102
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• 2018

The Industrial Classification is a systematic taxonomy of industrial activities and the Standard Industrial Classification is used in all country by their own a consistent classification method. Therefore, it is employed to analyze current status of industry affairs using statistical investigations in terms industrial activities for making industrial policies and to compare industrial activity among countries. Since the Second Industrial Revolution, the need for the homogenous standard of industrial classification among countries emerged as the economic and industrial exchanges between the countries have became more active. In 1940, Colin Clark who british economist divided the industry into the first (primitive), second (processed), and third (service) industries. Based on this, the United Nations Office for Statistics (UNSD) established International Standard Industry Classification (ISIC) in 1948, which most countries invoke it. ISIC(International Standard Industry Classification) and the standard industry classifications of countries have reached the present after several revisions since the enactment of the Act. In the 2000s, the standard industry classification is amended to reflect the emergence of new industries and changes in industrial structure, mainly featuring the creation and segmentation of sections in the tertiary industry domains. It also shows that primary and secondary sectors are shifting to tertiary industry. In this study, the causes of these common phenomena are systematically identified and the problems present classification systems have been analyzed. Also proposed is the direction of formation of the industrial classification system from a service economy point of view and the conceptual model of the new classification system. In the future, it is necessary to validate the proposed model through this study and to carry out various new classification system studies.

• Korean Journal of Clinical Pharmacy
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• v.17 no.1
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• pp.19-32
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• 2007

Objectives : It is necessary to monitor consumption of drugs in order to enhance promote appropriate use of drugs. Defined Daily Dose(DDD) of World Health Organization(WHO) has been used for evaluating the amount of medicine use. However, DDD of some drugs must be determined for drugs in Korea which are not listed by WHO. Our formulary follows ourself classification and DDD of some drugs must be determined since they exist only in Korea. This study was aimed to determine DDD value using RAND Appropriateness Methods and evaluate the amount of antibiotics use using DDD value. Methods : J01 antibiotics of WHO anatomical therapeutic chemical(ATC) classification were extracted from drug formulary. Antibiotics list without DDD was identified to determine their DDD with comprehensive review of references and recommendation of experts. defined. Review of reference was executed. of Expert panels were comprised of clinical pharmacist and clinical doctors. Modified Delphi Method was applied by survey and consensus meeting. Amount of antibiotic use was calculated by DDD/1000 inhabitants/day in the national level using health insurance claim data. Results : The result of 1 round, DDD values of 28 ingredients were determined from the first round of consensus meeting. With 2nd round meeting, 3 ingredients were deleted and DDD of 17 ingredients were decided. Analysis of antibiotic use in health insurance claim data showed 22.97 DDD/1000 inhabitants/day in 2003 year. Conclusion : This study can contribute to the establishment of DDD assignment and thus quantifying drug uses.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.133-140
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• 2005

The whole network system is paralyzed due to excess event of security server once in a while. If that happens, We have to analyze the cause of events, the time will require when we deal with a matter All the while, ACU(ACCESS CONTROL UNIT) and security server are off, We can not treat about information retrieval of people who come to building with real time. In this paper, we suggested classification algorithm in order to prevent of information explosion.

• The Journal of Information Systems
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• v.6 no.1
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• pp.181-221
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• 1997

In order to provide effective information services in a province, we should first select vendors who enable to meet end-users' needs and develop information services for the sake of end-users. Cases, policies, technological and legislative issues in information services have been researched well. But no research has been done on potential information services in the future and their classification. In this study, based on literature survey, future information services are gathered, described, and classified with respect to the needs of end-users, and finally a framework for the classification of information services is developed. This framework can be used as a criterion to select, with a priority, information services to be provided in province through the information super highway. The framework will contribute to accomplishing the effective use of information resources in the province, and eventually balancing the level of information utilization between provinces.