• 제목/요약/키워드: Standard Classification System

검색결과 634건 처리시간 0.029초

Measuring Trends in the Socioeconomic Burden of Disease in Korea, 2007-2015

  • Kim, Tae Eung;Lee, Ru-Gyeom;Park, So-Youn;Oh, In-Hwan
    • Journal of Preventive Medicine and Public Health
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    • 제55권1호
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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.

황금탕(黃芩湯) 표준화 및 KCD 질병코드 연구 - 동의보감 및 PUBMED를 중심으로 (A literature study of Huangqintang for standardization and KCD code)

  • 박선빈;염승희;김수진;한유정;이지호;김영우;박선동
    • 대한한의학방제학회지
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    • 제30권1호
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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.

Clinical Characteristics and Distribution of the Tongue-Related Diagnoses of Patients with Tongue Symptoms

  • Park, Jae-Man;Kim, Ji Hoo;Park, Hyun-Jeong;Ahn, Jong-Mo
    • Journal of Oral Medicine and Pain
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    • 제47권3호
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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.

Macroscopic, Histological, and Microbiological Characterization of Contact Lesions at the Tibiotarsal Region of Broilers

  • Cavani, Ricardo;Rubio, Marcela da Silva;Alves, Khauston Augusto Pereira;Pizauro, Lucas Jose Luduverio;Cardozo, Marita Vedovelli;Silva, Paulo Lourenco;Silva, Iran Jose Oliveira;Avila, Fernando Antonio
    • 한국축산식품학회지
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    • 제42권2호
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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.

온라인지식정보서비스 품질 향상을 위한 온라인지식정보원 확보 및 연계전략에 관한 연구 (A Study on Gathering & Connecting Online Reference Resources for Improving the Quality of Online Knowledge Service)

  • 노영희
    • 한국비블리아학회지
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    • 제20권2호
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    • pp.17-30
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    • 2009
  • 본 연구에서는 세계 여러 나라에서 이루어지고 있는 지식정보서비스(참고봉사)의 품질을 향상시키기 위한 것으로, 전문사서가 신속 정확하게 정보자원을 검색해서 제공할 수 있도록 하는 정보접근 환경의 조성방안, 즉 온라인 정보자원의 확보 및 효과적 연계방안을 제안하고 있다. 이를 위해 지금까지 논의되었던 이론적 논의와 국내외 온라인참고정보원 구축사례를 분석하고 이로부터 시사점을 도출하였으며, 이를 기반으로 한 본 연구의 제안 내용은 다음과 같다. 1) 온라인참고정보원의 공동 구축 및 공동활용, 2) 분류체계 개발 및 정보원의 주제별 세분화, 3) 메타데이터 등 표준화된 데이터포맷 개발, 4) 온라인참고정보원 선정기준 개발, 5) '질의/응답DB'를 주제별로 분류 제공, 6) 각종 국가 DB 및 오픈액세스 저널 등 연계 가능한 모든 자료를 연계.

Anatomy of Sentiment Analysis of Tweets Using Machine Learning Approach

  • Misbah Iram;Saif Ur Rehman;Shafaq Shahid;Sayeda Ambreen Mehmood
    • International Journal of Computer Science & Network Security
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    • 제23권10호
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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.

손상 및 외상환자 발생에 영향을 미치는 일반적 특성, 입원 특성에 미치는 요인에 관한 연구 (Research on Factors Affecting General Characteristics, Hospitalization Characteristics that Affect the Occurrence of Injuries and Trauma Patients)

  • 백재성;김광환
    • 디지털융복합연구
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    • 제22권1호
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    • pp.23-32
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    • 2024
  • 본 연구는 퇴원손상심층조사 자료를 선정하여 2016년 1월부터 2018년 12월까지 입원 치료 후 퇴원한 환자 중 주진단이 한국표준질병·사인분류(KCD-7th) 기준 S00-T98(손상, 중독 및 외인에 의한 특정 기타 결과)인 환자 92,364명을 최종 대상으로 분석하였다. 연구결과 손상 및 외상환자의 일반적 특성을 분석한 결과 성별은 남자가 발생률이 높았으며 연도가 증가할수록 여성의 발생비율이 증가하였다. 손상 및 외상환자의 손상 외인 특성을 분석한 결과 손상 의도는 비의도성 손상 비율이 높았고, 손상장소는 길/도로에서 가장 높았으며 연도가 증가할수록 감소 추세를 보이며 주거지에서 증가 추세를 보였다. 이상의 결과 손상 예방을 위한 관련 시스템의 구축의 기초 자료로 활용될 수 있을 것이다.

보성 표준기상관측소자료를 활용한 국지예보모델 대기경계층 유형 비교 연구 (A Comparative Study of the Atmospheric Boundary Layer Type in the Local Data Assimilation and Prediction System using the Data of Boseong Standard Weather Observatory)

  • 황성은;김병택;이영태;신승숙;김기훈
    • 한국지구과학회지
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    • 제42권5호
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    • pp.504-513
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    • 2021
  • 대한민국 기상청에서 사용하고 있는 UM (Unified Model, UM) 모델의 국지예측시스템(Local Data Assimilation and Prediction System, LDAPS)은 수치모델 모의 시 대기경계층 유형에 따라 물리과정을 다르게 계산하기 때문에 이 과정을 검증하는 것은 모델의 정확도 향상에 중요하다. 따라서, 본 연구에서는 수치모델의 대기경계층 유형을 관측자료를 기반으로 검증하였다. 관측자료를 기반으로 대기경계층 유형을 분류하기 위해서 보성 표준기상관측소에서 수행한 여름철 집중관측자료(라디오존데, 플럭스관측장비, 도플러 라이다, 운고계)를 활용하였으며, 2019년 6월 18일 부터 8월 17일 까지 61일 동안에 총 201회의 관측자료를 분석하였다. 또한 관측자료와 수치모델 결과가 다른 경우를 보면, 관측자료를 기반으로 한 대기경계층 유형 분류 결과에서 2유형으로 분류되는 사례가 수치모델에서는 1유형으로 분류된 사례가 53회로 가장 많이 나타났다. 그 다음으로는 관측자료를 기반으로 한 대기경계층 유형 분류 결과에서 5유형과 6유형으로 분류되는 사례가 수치모델에서는 3유형으로 분류된 사례가 많이 나타났다(각각 24회, 15회). 관측결과와 수치모델 모의 결과가 일치하지 않은 사례는 모두 층적운 접합 여부 및 적운 모의 등 수치모델의 구름물리 부분의 모의 성능에 기인하여 발생한 것이라고 분석된다. 따라서, 대기경계층 유형 분류의 구름물리과정의 모의 정확도를 개선하면 수치모델 성능이 향상 될 것으로 판단된다.

기업의 빅데이터 투자가 기업가치에 미치는 영향 연구 (The effect of Big-data investment on the Market value of Firm)

  • 권영진;정우진
    • 지능정보연구
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    • 제25권2호
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    • pp.99-122
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    • 2019
  • IDC(International Data Corporation) 사(社)의 최근 보고서에 따르면, 2025년에는 2016년에 생성된 데이터의 10배에 달하는 163제타바이트의 데이터가 생성될 것이고 그 주체의 비중은 소비자에서 기업으로 이동하고 있다고 한다. 이러한 소위 '빅데이터의 물결'은 도래하고 있고 그 파장은 산업 전반적으로 영향을 미칠 것이다. 따라서, 방대한 데이터를 효과적으로 관리하는 것은 기업의 관점에서 그 어느 때보다 더 중요하다. 하지만, IT 투자에 대한 효과를 측정한 선행 연구는 다수 존재함에도 불구하고 빅데이터 투자 효과를 측정한 선행 연구는 거의 전무한 실정이다. 따라서, 해당 투자 효과를 정량적으로 분석한다면 기업의 의사 결정을 도울 수 있을 것이다. 본 연구는 효율적 시장 가설을 이론적 바탕으로 둔 사건연구방법론(Event Study Methodology)을 적용하여, 기업의 빅데이터 투자가 시장 투자자들의 반응에 미치는 영향을 측정하였다. 또한, 보다 심층적으로 이 효과를 분석하기 위해서 5가지 하위 변수를 설정했고 그 내용은 기업 크기 구분, 산업 구분(Finance와 ICT), 투자 구축 완료 구분, 벤더 유무 구분이다. 분석 결과, 91개 기업은 빅데이터 투자 공시 이후 시장 가치가 평균 0.92% 상승한다는 사실을 확인하였다. 특히 Finance 기업, non-ICT 기업, 시가 총액이 작은 기업, 빅데이터 전문 벤더 기업을 통해 투자한 기업, 그리고 빅데이터 시스템이 구축 완료됐다는 공시에 해당하는 기업의 시장 가치가 두드러지게 상승한다는 사실을 알 수 있었다. 본 연구는 빅데이터 투자 효과를 측정한 선행 연구가 거의 전무하다는 점에서 학문적인 의의를 지니고, 빅데이터 투자를 고려 중인 기업 의사 결정자들에게 실질적인 참고 자료가 될 수 있다는 점에서 실무적인 시사점을 갖는다.

${\cdot}$ 골격장애 환자의 간호질 평가 도구 개발 (Development of and Evaluation Tool for the Quality of Patient Care in Musculo-skeletal Disorder)

  • 최순옥;김문실
    • 간호행정학회지
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    • 제1권2호
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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.

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