• 제목/요약/키워드: Data coverage

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Coverage, Density and Completeness of Sources used in Tehran Metropolitan Area Cancer Registry: According to the Data of Esophageal Cancer, 2003-2007

  • Aghaei, Abbas;Najafi, Farid;Mosavi-Jarrahi, Alireza;Ahmadi-Jouibari, Toraj
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권8호
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    • pp.3617-3619
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    • 2012
  • Background: The completeness of cancer registration is a major validity index of any reported cancer incidence. The present study aimed to evaluate the esophageal cancer incidence registered in the Tehran Metropolitan Area Cancer Registry. Materials and methods: The data on esophageal cancer abstracted from three sources of 1) pathology departments, 2) medical records, and 3) death certificates during 2003 till 2007 were utilized. The completeness of the data sources were evaluated using coverage (defined as the proportion of a community population with esophageal cancer identified by the source) and density (defined as the proportion of non-empty fields of the data by source). Results: A total 1,404 cases of esophageal cancer were reported for the duration of the study. Pathology provided 771, medical records 432, and death certificates 609. The coverage was 0.55 for pathology, 0.31 for medical records, and 0.43 for death certificates. The respective density values were 0.82, 0.96 and 0.98, respectively. Pathology (0.45) was the most complete source followed by medical records (0.42), and death certificates (0.29). Discussion: A low degree of completeness dictates putting more effort into case finding plus abstracting data more thoroughly.

Survey of Areas Underserved by Plastic Surgery in Japan

  • Sato, Makoto
    • Archives of Plastic Surgery
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    • 제49권2호
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    • pp.215-220
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    • 2022
  • Background In Japan, there is a large regional disparity in plastic surgery availability. In order for plastic surgery to be widely available for all citizens, it is essential for at least one plastic surgery facility to be located in each secondary medical zone. Methods Using the Japan Society of Plastic and Reconstructive Surgery homepage and some databases, we extracted data on secondary medical zones that do not have a plastic surgery facility. The national and regional coverage rates were calculated. The coverage rate for each group divided by the degree of population concentration was also calculated. Results We found that 147 of 344 secondary medical zones did not have a plastic surgery facility, and the area coverage rate was found to be 57.27% nationwide. The coverage rate in terms of population was 87.07% (correlation coefficient of area and population coverage = 0.983). The area coverage rates in Hokkaido-Tohoku, Kanto, Chubu, Kansai, Chugoku-Shikoku, and Kyushu-Okinawa districts were 47.46, 72.15, 76.47, 62.79, 52.08, and 32.81%, respectively. The corresponding population coverage rates were 79.92, 91.62, 94.27, 90.59, 80.68, and 69.54%, respectively. The area coverage rates in metropolitan areas, provincial cities, and rural areas were 98.08, 75.90, and 15.87%, respectively. In contrast, the area coverage rate of dermatology was 62.79% and that of orthopaedics was 97.09%. Conclusion Unfortunately, it is estimated that more than 40% of secondary medical zones are underserved by plastic surgery, and 13% of the population is not able to fully benefit from this specialty in Japan.

지수화 지수 커버리지 함수를 고려한 ENHPP 소프트웨어 신뢰성장 모형에 관한 연구 (A Study on ENHPP Software Reliability Growth Model based on Exponentiated Exponential Coverage Function)

  • 김희철
    • 정보학연구
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    • 제10권2호
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    • pp.47-64
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    • 2007
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called enhanced non-homogeneous poission process(ENHPP). In this paper, exponential coverage and S-coverage model was reviewed, proposes the exponentiated exponential coverage reliability model, which maked out efficiency substituted for gamma and Weibull model(2 parameter shape illustrated by Gupta and Kundu(2001). In this analysis of software failure data, algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

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희소 모바일 애드 혹 네트워크 환경에서 빅데이터 센싱을 위한 에너지 효율적인 센서 커버리지 알고리즘 (An Energy-Efficient Algorithm for Solving Coverage Problem and Sensing Big Data in Sparse MANET Environments)

  • 길준민
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제6권11호
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    • pp.463-468
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    • 2017
  • 모바일 노드를 이용하여 넓은 범위를 센싱하기 위해서는 노드 배치의 균일성이 매우 중요한 이슈 중 하나이다. 본 논문에서는 희소 모바일 애드 혹 네트워크 환경에서 빅 데이터 센싱을 위한 커버리지 문제에 대한 주제를 다룬다. 커버리지 문제에 관한 기존 연구에서는 넓은 범위를 센싱하기 위해 노드의 수가 충분히 많은 환경을 가정하였다. 하지만 희소 모바일 애드 혹 네트워크 환경에서 센서 커버리지 문제는 노드들 간의 센싱 범위가 겹치는 범위를 최소화하기 위해 노드들 간의 거리가 충분히 멀어야 한다. 따라서 본 논문에서는 희소 모바일 애드 혹 네트워크 환경에서 센서 커버리지 문제를 정의하고 중앙 중재자 없이 자가 조직의 방식에 의한 해결 방안을 제시한다. 실험 결과를 통해 제안하는 방식은 커버리지 영역과 에너지 소비 관점에서 효율적임을 보인다.

Burr 커버리지 함수에 기초한 ENHPP소프트웨어 신뢰성장모형에 관한 연구 (The Study for ENHPP Software Reliability Growth Model based on Burr Coverage Function)

  • 김희철
    • 한국컴퓨터정보학회논문지
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    • 제12권4호
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    • pp.33-42
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    • 2007
  • 소프트웨어 제품의 정확한 인도시기를 예측하거나 효용성 및 신뢰성을 예측하기 위해서는 소프트웨어 테스팅 과정에서 중요한 요소인 테스트 커버리지를 이용하면 보다 효율적인 테스팅 작업을 할 수 있다. 이런 모형을 ENHPP모형이라고 한다. 본 논문에서는 기존의 소프트웨어 신뢰성 모형인 지수 커버리지 모형과 S-커버리지 모형을 재조명하고 이 분야에 적용될 수 있는 Burr 분포에 기초한 Burr 커버리지 모형을 제안하였다. 고장 간격 시간으로 구성된 자료를 이용한 모수추정 방법은 최우추정법 과 일반적인 수치해석 방법인 이분법을 사용하여 모수 추정을 실시하고 효율적인 모형 선택은 편차자승합(SSE) 및 콜모고로프 거리를 적용하여 모형들에 대한 효율적인 모형선택도 시도하였다. NTDS 자료를 사용한 임무시간 비교 분석한 결과 Burr 커버리지 모형 시행이 지수나 S-형 모형보다 우수함을 보이고 있다. 이 자료들에서 기존의 모형과 Burr 커버리지 모형의 비교를 위하여 산술적 및 라플라스 검정, 편의 검정등을 이용하였다.

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Noninformative Priors in Freund's Bivariate Exponential Distribution : Symmetry Case

  • 조장식;백승욱;김희재
    • Journal of the Korean Data and Information Science Society
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    • 제13권2호
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    • pp.235-242
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    • 2002
  • In this paper, we develop noninformative priors that are used for estimating the ratio of failure rates under Freund's bivariate exponential distribution. A class of priors is found by matching the coverage probabilities of one-sided Baysian credible interval with the corresponding frequentist coverage probabilities. Also the propriety of posterior under the noninformative priors is proved and the frequentist coverage probabilities are investigated for small samples via simulation study.

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EBKCCA: A Novel Energy Balanced k-Coverage Control Algorithm Based on Probability Model in Wireless Sensor Networks

  • Sun, Zeyu;Zhang, Yongsheng;Xing, Xiaofei;Song, Houbing;Wang, Huihui;Cao, Yangjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권8호
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    • pp.3621-3640
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    • 2016
  • In the process of k-coverage of the target node, there will be a lot of data redundancy forcing the phenomenon of congestion which reduces network communication capability and coverage, and accelerates network energy consumption. Therefore, this paper proposes a novel energy balanced k-coverage control algorithm based on probability model (EBKCCA). The algorithm constructs the coverage network model by using the positional relationship between the nodes. By analyzing the network model, the coverage expected value of nodes and the minimum number of nodes in the monitoring area are given. In terms of energy consumption, this paper gives the proportion of energy conversion functions between working nodes and neighboring nodes. By using the function proportional to schedule low energy nodes, we achieve the energy balance of the whole network and optimizing network resources. The last simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but also completely inhibit the rapid energy consumption of node, and extend the network lifetime.

실손형 민간보험의 비급여 보장축소가 한방의료이용에 미친 영향 (The Effect of Private Health Insurance Coverage Reduction on the Korean Medicine Utilization)

  • 박민정;고성규
    • 대한예방한의학회지
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    • 제19권3호
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    • pp.57-66
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    • 2015
  • Objective : Private health insurance coverage in Korean medicine has been reduced since October 2009 for preventing unnecessary utilization. The aim of this study is to identify how private health insurance coverage reduction affects on the Korean medicine utilization. Method : We analyzed the Korea Health Panel data from 2008 to 2012. Panel negative binominal regression model was used to analyze the relationship between private health insurance coverage reduction and utilization of outpatient service. Panel tobit regression analysis was used to identify the relationship between private health insurance coverage reduction and health expenditure of outpatient service. Results : Private health insurance coverage reduction significantly dropped both utilization and health expenditure of outpatient service by 9%, 9.22% respectively. In addition, therapeutic utilization significantly decreased up to 10%. Conclusion : Private health insurance coverage reduction seems to have an effect to reduce both utilization and the health expenditure of Korean medicine outpatient service. This effect was more noticeable in the therapeutic utilization. Thus, more elaborate policy will be needed to prevent unnecessary utilization of Korean medicine.

스케일링 건강보험 급여화에 대한 산재환자의 인식도 (Recognition about national health insurance of dental scaling in industry accident injury patients)

  • 이혜순;이경희
    • 한국치위생학회지
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    • 제13권4호
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    • pp.561-568
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    • 2013
  • Objectives : The purpose of this study is to examine the recognition and needs on the national health insurance coverage of scaling in industry accident injury patients. National health insurance coverage of dental scaling will start in September, 2013. Methods : Subjects were 649 industrial injury patients and they completed self-reported questionnaire. Data were analysed using SPSS version 20.0 for percentage, chi-square test, t-test, ANOVA, post-hoc Scheffe test, and Pearson's correlation coefficient. Results : Recognition on national health insurance coverage of dental scaling was not fully known to industrial injury patients (24.5%). Highly educated and high income workers seemed to recognize national health insurance coverage of dental scaling (p<.001). Recognition for national health insurance coverage of dental scaling revealed a significance (r=.576, p<.001). Most of the industrial injury workers thought that 50,000 to 100,000 Korean Won of dental scaling fee is reasonable. The coverage of dental scaling should be more than twice over 20 years old. Conclusions : It is necessary to encourage the patients to take regular dental scaling checkup and make them know the health insurance coverage of scaling. The preventive oral health care may improve oral health care and quality of life.

Lack of Health Insurance Increases All Cause and All Cancer Mortality in Adults: An Analysis of National Health and Nutrition Examination Survey (NHANES III) Data

  • Cheung, Min Rex
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권4호
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    • pp.2259-2263
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    • 2013
  • Background: Public use National Health and Nutrition Examination Survey (NHANES III) and NHANES III linked mortality data were here applied to investigate the association between health insurance coverage and all cause and all cancer mortality in adults. Patients and Methods: NHANES III household adult, laboratory and mortality data were merged. Only patients examined in the mobile examination center (MEC) were included in this study. The sampling weight employed was WTPFEX6, SDPPSU6 being used for the probability sampling unit and SDPSTRA6 to designate the strata for the survey analysis. All cause and all cancer mortalities were used as binary outcomes. The effect of health insurance coverage status on all cause and all cancer mortalities were analyzed with potential socioeconomic, behavioral and health status confounders. Results: There were 2398 sample persons included in this study. The mean age was 40 years and the mean (S.E.) follow up was 171.85 (3.12) person months from the MEC examination. For all cause mortality, the odds ratios (significant p-values) of the covariates were: age, 1.0095 (0.000); no health insurance coverage (using subjects with health insurance), 1.71 (0.092); black race (using non-Hispanic white subjects as the reference group) 1.43, (0.083); Mexican-Americans, 0.60 (0.089); DMPPIR, 0.82, (0.000); and drinking hard liquor, 1.014 (0.007). For all cancer mortality, the odds ratio (significant p-values) of the covariates were: age, 1.0072 (0.00); no health insurance coverage, using with health coverage as the reference group, 2.91 (0.002); black race, using non-Hispanic whites as the reference group, 1.64 (0.047); Mexican Americans, 0.33 (0.008) and smoking, 1.017 (0.118). Conclusion: There was a 70% increase in risk of all cause death and almost 300% of all cancer death for people without any health insurance coverage.