• Journal of Chest Surgery
• /
• 제49권sup1호
• /
• pp.14-19
• /
• 2016

Background: This study uses the relevance index to understand the condition of regional medical service use for cardiovascular surgery and to identify the medical service use imbalance between regions. Methods: This study calculated the relevance index of 16 metropolitan cities and provinces using resident registration address data from the Ministry of Government Administration and Home Affairs and the 2010-2014 health insurance, medical care assistance, and medical benefits claims data from the Health Insurance Review and Assessment Service. We identified developments over the 5-year time period and analyzed the level of regional imbalance regarding cardiovascular surgery through the relative comparison of relevance indexes between cardiovascular and other types of surgery. Results: The relevance index was high in large cities such as Seoul, Daegu, and Gwangju, but low in regions that were geographically far from the capital area, such as the Gangwon and Jeju areas. Relevance indexes also fell as the years passed. Cardiovascular surgery has a relatively low relevance index compared to key types of surgery of other fields, such as neurosurgery and colorectal surgery. Conclusion: This study identified medical service use imbalance between regions for cardiovascular surgery. Results of this study demonstrate the need for political intervention to enhance the accessibility of necessary special treatment, such as cardiovascular surgery.

• 한국정보과학회논문지:데이타베이스
• /
• 제32권4호
• /
• pp.362-371
• /
• 2005

멀티미디어 데이타베이스와 같은 고차원 응용에서 유사 색인과 검색은 어려운 문제이며, 특히, 다수의 특성을 함께 색인하는 경우에는 더욱 어렵다. 본 논문에서는 고차원 이미지 데이타베이스에서 복합 유사 질의 및 적합성 피드백을 효율적으로 처리하기 위한 새로운 색인 기법인 GB-색인을 제시한다. GB-색인은 각 특성 차원을 독립적으로 처리함으로써 다수의 특성과 다수의 질의 객체를 유연하게 제어한다. 아울러, 비트맵 색인을 통해 데이타베이스에 있는 모든 객체를 비트맵의 집합으로 표현하여 질의를 효율적으로 처리한다. GB-색인의 기술적인 주된 공헌은 다음과 같다: (1) 고차원 데이타를 위한 효율적인 색인, (2) 효율적인 복합 유사 질의 처리, (3) 적합성 피드백을 위한 분리형 질의의 효과적 처리. 실험 결과에 따르면 GB-색인은 순차 탐색 및 VA-파일에 비해 큰 성능 향상을 보였다.

• 치위생과학회지
• /
• 제17권5호
• /
• pp.454-461
• /
• 2017

The purpose of this study was to confirm the relevance of dental health capacity and pulmonary function status. The subjects of this study were adults aged 40 years and older, who participated in pulmonary function and oral examinations. The data used for this study were raw data from the sixth Korea National Health and Nutrition Examination Survey (2013~2015). Statistical analysis was performed by analysis of complex sample survey data. The results were as follows: First, restrictive and obstructive patterns were more prevalent among males than females. They were even worse in older subjects. Approximately 67% of smokers had obstructive pattern. Second, there was a relevance between dental health capacity and pulmonary function status. The functioning teeth index, number of present teeth, and number of sound teeth (ST), which are indicators of dental health, declined with decreased pulmonary function. The number of missing teeth (MT) increased as the pulmonary function deteriorated (p<0.05). Third, the relevance between dental health capacity and pulmonary function status after stratifying the life-long smoking experience was statistically significant in the tissue health (T-health) index and ST among non-smokers. The relevance between dental health capacity and pulmonary function status after stratifying the life-long smoking experience was statistically significant (p<0.05) for the T-health index, ST, and MT among smokers. However, there was no relevance between dental health capacity and pulmonary function status after stratifying the life-long smoking experience and adjusting confounding variables. In conclusion, there was a relevance between dental health capacity and pulmonary function status after confounding variables were adjusted. However, there was no relevance between dental health capacity and pulmonary function status after stratifying the life-long smoking experience and adjusting confounding variables.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
• /
• pp.238-240
• /
• 2002

If there is an Information Retrieval system which comprehends the semantic content of documents and knows the preference of users. the system can search the information better on the Internet, or improve the IR performance. Therefore we propose the IR model which combines semantic based indexing and fuzzy relevance model. In addition to the statistical approach, we chose the semantic approach in indexing, lexical chains, because we assume it would improve the performance of the index term extraction. Furthermore, we combined the semantic based indexing with the fuzzy model, which finds out the exact relevance of the user preference and index terms. The proposed system works as follows: First, the presented system indexes documents by the efficient index term extraction method using lexical chains. And then, if a user tends to retrieve the information from the indexed document collection, the extended IR model calculates and ranks the relevance of user query. user preference and index terms by some metrics. When we experimented each module, semantic based indexing and extended fuzzy model. it gave noticeable results. The combination of these modules is expected to improve the information retrieval performance.

• 융합정보논문지
• /
• 제10권12호
• /
• pp.126-131
• /
• 2020

본 연구는 전라도 지역 시·군·구의 지역 유형 변화를 파악하기 위하여 응급실 환자들의 유출입 현황을 분석하였다. 2014-2018년의 국가응급진료정보망에서 전라도 지역의 자료를 추출하였고, 환자의 주소와 응급의료기관 주소를 활용하여 지역친화도(Relevance index, RI)와 지역환자구성비(Commitment index CI)를 계산하였다. 계산된 지표들을 적용하여 군집분석으로 지역유형을 분류하였고, 비모수적 방법인 크루스칼-왈리스 검정을 사용하여 지역유형에 대한 RI와 CI의 연도별 차이를 살펴보았다. RI와 CI를 활용한 군집분석 결과는 3개의 지역유형으로 구분되었고, 군집 1은 유출형, 군집 2는 유입형, 군집 3은 자체충족형으로 분류되었다. 각 군집(지역유형)에 대한 RI와 CI의 연도별 차이에서는 군집 2(유입형)와 군집 3(자체충족형)은 유의한 차이가 없었다. 군집 1(유출형)은 CI에서는 유의한 차이가 없었고, RI에서 2004년은 2017년과 2018년에 유의한 차이가 있었다. 이는 응급의료 집중화가 심해진 반면, 응급의료 환경이 개선되었다고 보기는 어려운 것으로 해석된다.

• 보건행정학회지
• /
• 제11권2호
• /
• pp.123-140
• /
• 2001

Hypotheses In health services research are becoming increasingly more complex and specific. As a result, health services research studies often include multiple independent, intervening, and dependent variables in a single hypothesis. Nevertheless, the statistical models adopted by health services researchers have failed to keep pace with the increasing complexity and specificity of hypotheses and research designs. This article introduces a statistical model well suited for complex and specific hypotheses tests in health services research studies. The covariance structure modeling(CSM) methodology is especially applied to regional relevance indices(RIs) to assess the impact of health resources and healthcare utilization. Data on secondary statistics and health insurance claims were collected by each catchment area. The model for RI was justified by direct and indirect effects of three latent variables measured by seven observed variables, using ten structural equations. The resulting structural model revealed significant direct effects of the structure of health resources but indirect effects of the quantity on RIs, and explained 82% of correlation matrix of measurement variables. Two variables, the number of beds and the portion of specialists among medical doctors, became to have significant effects on RIs by being analyzed using the CSM methodology, while they were insignificant in the regression model. Recommendations for the CSM methodology on health service research data are provided.

• Geomechanics and Engineering
• /
• 제36권2호
• /
• pp.111-119
• /
• 2024

In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R²) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

• Journal of Information Processing Systems
• /
• 제13권4호
• /
• pp.863-875
• /
• 2017

The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the high-dimensionality and sparsity of document vector. To address the problems, the improved singular value decomposition is used to reduce dimensionality and remove noises of the text representation model. The optimal number of singular values is analyzed and the semantic relevance between words can be calculated in constructed semantic space. An inverted index construction algorithm and the similarity definitions between vectors are proposed to calculate the similarity between two documents on the semantic level. The experimental results on benchmark corpus demonstrate that the proposed method promotes the evaluation metrics of F-measure.

• 보건행정학회지
• /
• 제18권4호
• /
• pp.66-84
• /
• 2008

Objectives: This study aimed to. offer some fundamental evidences for the stroke management policy by investigating the trends of medical care utilization and regionalization in stroke inpatients. Methods: We used the National Health Insurance claims and registry data for stroke inpatients from 1998 to 2005. Among all stroke inpatient claims data, self-employed insured and their dependents were only included in this study. The classification of stroke was based on ICD-10(I60-I69) and its subtype was divided by hemorrhage(I60-I62) and infarction(I63-I64) type. To evaluate regionalization of medical care utilization, relevance index was calculated by regions. The regions were classified 8 large catchment areas and 163 self authorized areas. Results: The overall medical care utilization rate of stroke inpatient has been increased, especially infarction subtype. Among medical care institutions, the utilization of hospital has been the most rapidly increased. Although considered annual rate of interest, total medical cost of stroke inpatients has been increased, Totally, more than 84% of stroke inpatient were admitted to medical care institutions in their own large catchment area during 1998-2005. The relevance indices in their own large catchment area (self sufficiency rates) were more than 70% in most areas regardless of stroke subtype except Chungbuk catchment area. Self sufficiency rates of stroke inpatients among 163 self authorized areas in 1998 and 2005 were 84.2% and 83.1% in metropolitan, 46.7% and 45.5% in urban, and 19.5% and 22.6% in rural areas, respectively. Conclusion: Stroke management policy for improvement of distribution at the district level, especially in rural areas, may be helpful for reducing regional inequality in stroke.

• 약학회지
• /
• 제53권1호
• /
• pp.25-33
• /
• 2009

Metabolic syndrome is increasing nowadays and one of causes is obesity. Therefore prevention and treatment of obesity is very important to decrease of Metabolic syndrome. However currently many pharmacotherapy for obesity are popular in Korea and it may be dangerous. The aim of this study is to evaluate the purpose and relevance of obese treatment in two areas (capital & local) of Korea and suggest to guide for the right directions of pharmacotherapy in obesity treatment. We selected and surveyed 90 patients (88 females, 2 males, age of $23{\sim}60$) at random who received a prescription after consulting with a doctor at several clinics of Cheongju-area and Seoul-area, from May thru June, 2007. And we evaluated their prescriptions. In results, only 26.7% were obese (13.3%, 2325), most 73.3% patients were normal (65.6%, 18.5$m^2$). The purpose of treatment was for appearance (38.9%), health (41.1%) or both (18.9%, p<0.01). 94% patients had the past history of obese treatment. Prescriptions were consisted of CNS stimulant, anticonvulsants, antidepressant, laxatives, diuretics, or antianxietics. Obese treatment is very important for health to prevent disease such as Metabolic Syndrome. However it should not be abused. In conclusion, some patients of obese treatment is not relevant to obesity and pharmacist role is important to guide them for the right directions in obesity treatment.