• Journal of Preventive Medicine and Public Health
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• v.55 no.1
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• pp.19-27
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• 2022

This study estimated the direct and indirect socioeconomic costs of 238 diseases and 22 injuries from a social perspective in Korea from 2007 to 2015. The socioeconomic cost of each disease group was calculated based on the Korean Standard Disease Classification System. Direct costs were estimated using health insurance claims data provided by the National Health Insurance Service. The numbers of outpatients and inpatients with the main diagnostic codes for each disease were selected as a proxy indicator for estimating patients' medical use behavior by disease. The economic burden of disease from 2007 to 2015 showed an approximately 20% increase in total costs. From 2007 to 2015, communicable diseases (including infectious, maternal, pediatric, and nutritional diseases) accounted for 8.9-12.2% of the socioeconomic burden, while non-infectious diseases accounted for 65.7-70.7% and injuries accounted for 19.1-22.8%. The top 5 diseases in terms of the socioeconomic burden were self-harm (which took the top spot for 8 years), followed by cirrhosis of the liver, liver cancer, ischemic heart disease, and upper respiratory infections in 2007. Since 2010, the economic burden of conditions such as low back pain, falls, and acute bronchitis has been included in this ranking. This study expanded the scope of calculating the burden of disease at the national level by calculating the burden of disease in Koreans by gender and disease. These findings can be used as indicators of health equality and as useful data for establishing community-centered (or customized) health promotion policies, projects, and national health policy goals.

• Herbal Formula Science
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• v.30 no.1
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• pp.19-25
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• 2022

Objectives : Huangqintang(⿈芩湯) is a famous herbal prescription in the Traditional Korean Medicine (e.g. Shanghanlun) to treat various chronic disease such as neurological disease and digestive system disease. Its components include Scutellariae Radix(⿈芩), Paeonia lactiflora(芍藥), Glycyrrhizae Radix et Rhizoma(⽢草), Zizyphi Fructus(⼤棗). Methods : In this study, we standardize the name, composition and medical uses of Huangqintang by literature studying and paper searching. Based on the comparison between oriental medicine and modern medicine pharmacology, we linked the medical uses of Huangqintang to Korean Standard Classification of Diseases (KCD). Results and Conclusion : The name of the prescription is unified into "Huangqintang", and its composition ratio between Scutellariae Radix, Paeonia lactiflora, Glycyrrhizae Radix et Rhizoma, and Zizyphi Fructus is 3:2:2:3. Huangqintang is used for enteritis diseases due to its antipyretic and antinflammatory effects. Its medical application was relatied with 'A'code, 'C'code, and 'K'code as indicated by KCD. By standardizing the mixed conceptions of Huangqintang, this review will facilitate the coding of Huangqintang prescription. Therefore, it will make Huangqintang prescription more useful in clinics.

• Journal of Oral Medicine and Pain
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• v.47 no.3
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• pp.109-116
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• 2022

Purpose: This study was conducted to analyze the clinical characteristics and distribution of the tongue-related diagnoses in patients with tongue symptoms. Methods: The subjects were patients who visited Chosun University Dental Hospital with tongue symptoms from January 1, 2021, to December 31, 2021. We analyzed 491 patients (139 males and 352 females) with tongue-related diagnostic code names in the Korean Standard Classification of Disease (KCD) in the Electronic Medical Record (Dentopinformation Technology Co., Seoul, Korea). Results: On analyzing the diagnoses of tongue diseases using the KCD, glossopyrosis (44.8%) and painful tongue (15.2%) showed high rates. Of the 491 patients, 139 (28.3%) were males and 352 (71.7%) were females, and the average age was 58.1 years. As for systemic diseases, there were many patients with diseases of the circulatory system (27.0%) and endocrine, nutritional, and metabolic diseases (13.7%). Tongue symptoms were discomfort in 58 patients, pain in 329 patients, paresthesia in 10 patients, burning sensations in 222 patients, dysgeusia in 25 patients, dryness in 110 patients, fissures in 57 patients, and other symptoms in 72 patients. Areas with tongue symptoms were the anterior area in 102 patients, the lateral area in 140 patients, the posterior area in 12 patients, the dorsal area in 140 patients, the ventral area in 42 patients, and which area in 126 patients overall. Patients with burning mouth syndrome and oral candidiasis had significantly more tongue symptoms. Conclusions: Patients with tongue symptoms exhibited a variety of tongue diseases. Tongue symptoms were more common in women over 50 years of age and were frequently seen in patients with burning mouth syndrome and oral candidiasis.

• Food Science of Animal Resources
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• v.42 no.2
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• pp.313-320
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• 2022

Brazil is considered as a great broiler feet exporter, especially for the Chinese trade. Contact lesions at the tibiotarsal region are responsible for economic losses and there is no model for its classification, thereby this study presents a fast and practical grade system to be used in the poultry industry and proposes these lesion characterizations into three different grades. For this, correlation was made between macroscopic, histological findings and microbiological quantification (Escherichia coli, Staphylococcus spp., Streptococcus spp. and sulphite-reducing clostridia) from contact lesions in the tibiotarsal region of 112 broiler carcasses, divided in four groups (n=28), accordingly to the lesion's intensity. There were no significant differences in microbiological quantification among the groups (p>0.05) except for the grade 3 group, as grade 1 and 2 lesions were in the early stages and histopathological changes such as ulceration were not observed. In grade 3 lesion group, it was observed bacterial cocci grume and ulceration at the articular region and significantly higher microbiological count (p<0.05) for E. coli and Staphylococcus spp. In conclusion, the visual standard proposed in this work, correlated and confirmed by the histopathologic, and microbiologic characterization, allows to precise and fast ascertainment of the contact lesion grade in the tibiotarsal regions of broiler carcasses. Moreover, it should be highlighted that grades 1 and 2 alterations are not caused by an inflammatory process caused by pathogenic agents and should not be considered a public health risk.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.2
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• pp.17-30
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• 2009

This study is to improve the quality of online reference service which is serviced in the world. For this it suggests the strategic methods for collecting and connecting of internet information resources. It makes information service circumstance for professional librarians to retrieve and service. To achieve the purpose, this study have drawn implications by analysing the theoretical discussions and the cases of online reference resources system. This study suggests some strategies as follows; 1) Collaborative constructing and using of online reference resources, 2) Developing classification scheme and subdividing the subjects of it, 3) Developing the standard format of the data as like metadata, 4) Developing the guidelines to select the proper resources from many internet information resources, 5) Subdividing the 'knowledge DB' by subjects, 6) Connecting as much as possible the DBs as like the National DB and open access resources.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• Journal of Digital Convergence
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• v.22 no.1
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• pp.23-32
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• 2024

This study selected in-depth discharge damage survey data and analyzed 92,364 patients whose main diagnosis was S00-T98 (damage, addiction, and specific other results due to external factors) based on the Korean Standard Classification of Diseases and Deaths (KCD-7th) among patients discharged from the hospital after inpatient treatment from January 2016 to December 2018. As a result of analyzing the general characteristics of injured and traumatic patients, the incidence rate of men was higher in gender, and the incidence rate of women increased as the year increased. As a result of analyzing the characteristics of injury and trauma patients other than injury, the injury intention had a high rate of unintentional damage, the damage place was the highest on the road/road, and it showed a decreasing trend as the year increased, and it showed an increasing trend in the residential area. It can be used as basic data for the establishment of a related system to prevent damage as a result of subsang.

• Journal of the Korean earth science society
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• v.42 no.5
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• pp.504-513
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• 2021

Different physical processes, according to the atmospheric boundary layer types, were used in the Local Data Assimilation and Prediction System (LDAPS) of the Unified Model (UM) used by the Korea Meteorological Administration (KMA). Therefore, it is important to verify the atmospheric boundary layer types in the numerical model to improve the accuracy of the models performance. In this study, the atmospheric boundary layer types were verified using observational data. To classify the atmospheric boundary layer types, summer intensive observation data from radiosonde, flux observation instruments, Doppler wind Light Detection and Ranging(LIDAR) and ceilometer were used. A total number of 201 observation data points were analyzed over the course 61 days from June 18 to August 17, 2019. The most frequent types of differences between LDAPS and observed data were type 1 in LDAPS and type 2 in observed(each 53 times). And type 3 difference was observed in LDAPS and type 5 and 6 were observed 24 and 15 times, respectively. It was because of the simulation performance of the Cloud Physics such as that associated with the simulation of decoupled stratocumulus and cumulus cloud. Therefore, to improve the numerical model, cloud physics aspects should be considered in the atmospheric boundary layer type classification.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• Journal of Korean Academy of Nursing Administration
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• v.1 no.2
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• pp.338-348
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• 1995

We need to continuously evaluate for nursing quality and the outcome to reflect nursing, to repair and improve of nursing. The first problem for nursing quality improvement is development of evaluation tool for the quality of nursing care. We need a system for quality assurance evaluation that is, development and framework of evaluation tool for nursing care quality. The purpose of this study was attempted to develop an evaluation tool for the quality of nursing care in musculoskeletal disorder patients. The approach method of nursing quality for the development of the tool in this study was process evaluation framework. The study were devided dvelopment process and reliability, validity verification process. The subjects of development process of this tool are three nursing export groups, and the subject of reliability, validity verification process are 20 samples of two university hospital in seoul, who were within discharge 3 months after admission treatment in musculo-skeletal disorder. Data for this study was collected from March 10 to April 13, 1995. The development process of the tool were as follows : 1. Make preliminary list of the tool by focal group were constituted 12 clinical nurses. 2. Modify and add preliminary list by 4 nursing expert panel. 3. Calculate content validity of the tool by 25 nursing expert panel of judge. 4. Verify reliability and validity of the tool. 5. Finalize an evaluation tool for the quality of the nursing care in musculo-skeletal disorder. The results of this study were as follows : 1) Development an evaluation tool for the quality of nursing care in musculo-skeletal disorder. (1) The evalution tool of this study was developed 5 standards, 33 criterias and 133 indicators. (2) 5 standards were divided according to Nursing Process. from standard 1 to standard 5, involved criterias were each 6(18%), 3(9%), 3(9%), 15(46%), 6(18%). 2) Verify reliability and validity of the tool. (1) Score of adequate degree for content validity of 33 criterias and 133 indicators were every average 2.82. (2) Inter-rater reliabilities(consentaneity score) of the tool by pearson correlation coefficient between three raters were : r=.7506, r=.8934, r=.6695. and Inter-rater reliabilities by single-facet crossed design were : r=.7464. (3) The alpha coefficient relating to internal consistency was .8524 over all 30 items of 33 criterias of developed tool. (4) Score of the quality of nursing care following to generaal characteristics of this study subjects were stastically significant differences according to educational level (F=2.93, p=.029)and diagnosing classification (F=2.50, p=.042). Through this study, I'm sure that the developed tool for the quality of patient care in musculo-skeletal disorder will show the way of more improvement of the quality of nursing care and effective nursing interventions.