• Title/Summary/Keyword: data registry

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Epidemiology of Primary Brain and Central Nervous System Tumors in Korea

  • Lee, Chang-Hyun;Jung, Kyu-Won;Yoo, Heon;Park, So-Hee;Lee, Seung-Hoon
    • Journal of Korean Neurosurgical Society
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    • v.48 no.2
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    • pp.145-152
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    • 2010
  • Objective : The aim of this report is to provide accurate nationwide epidemiologic data on primary central nervous system (CNS) tumors in Korea. Despite its importance, there are no accurate statistics on primary CNS tumors in Korea. We analyzed primary CNS tumors diagnosed in 2005 from the nationwide registry. Methods : Data on primary CNS tumors diagnosed in 2005 were collected from the Korean Central Cancer Registry and the Korean Brain Tumor Society. Crude and age-standardized rates were calculated in terms of gender, age, and histological type. Tumors of uncertain histology were investigated individually at the corresponding hospitals and had their diagnoses confirmed. Results : A total of 5,692 patients diagnosed with primary CNS tumors in 2005 were included in this study. CNS tumors occurred in females more often than in males (female to male, 1.43 : 1). The most common tumor was meningioma (31.2%). Glioblastoma accounted for 30.7% of all gliomas, and 19.3% of all malignant primary CNS tumors. In children under 19 years of age, both germ cell tumor and embryonal/primitive/medulloblastoma were the most common tumors. Conclusion : This article is the first nationwide primary CNS tumor epidemiology report in Korea. Data from this study should provide valuable information regarding the understanding of primary CNS tumors epidemiology in Korea.

Evolution of trauma care and the trauma registry in the West Australian health system

  • Iddagoda, Mayura Thilanka;Burrell, Maxine;Rao, Sudhakar;Flicker, Leon
    • Journal of Trauma and Injury
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    • v.35 no.2
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    • pp.71-75
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    • 2022
  • Trauma care is evolving throughout the world to meet the demand resulting from rapidly increasing rates of mortality and morbidity related to external injuries. The State Major Trauma Service was designated to Royal Perth Hospital in 2004 to provide comprehensive care for trauma patients in Western Australia (WA), which is the largest state by area in the country. The State Major Trauma Unit, which was established in 2008, functions as a level I center and admits over 1,000 major trauma patients per year, making it the second busiest trauma center in Australia. The importance of recording data related to trauma was identified by the trauma service in WA to inspire higher standards of patient care and injury prevention. In 1994, the service established a trauma registry, which has undergone significant changes over the last two decades. The current State Trauma Registry is linked to a statewide database called the Data Linkage System. The linked data are available for policy development, quality assurance, and research. This article discusses the evolution of the trauma service and the registry database in the WA health system. The State Trauma Registry has enormous potential to contribute to research and quality improvement studies along with its ability to link with other databases.

Data Quality of Childhood Cancer in Khon Kaen, Thailand, 1990-2007

  • Suwanrungruang, Krittika;Kamsa-ard, Supot;Wiangnon, Surapon
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.18
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    • pp.7985-7987
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    • 2014
  • Introduction: Khon Kaen Cancer Registry (KKCR) was established in 1984. KKCR aims to collect all cancer cases in Khon Kaen Province. The poorly qualified data may lead to distort the cancer burden and misinterpretation of policy maker. Objective: To assess data quality in childhood cancer between 1990 and 2007 in Khon Kaen Province, Thailand. Materials and Methods: Data of childhood cancer cases aged less than 20 years diagnosed during 1990-2007 were retrieved from the population-based data set of KKCR. All childhood cancer data were verified before data entry. Internal consistency, percentage of morphological verification (MV%) and cancer cased of the basis of diagnosis by death certificate only (DCO%) were evaluated. The age-adjusted rate (ASR) was calculated by standard method. Results: The data of childhood cancer from KKCR is acceptably qualified which reflects the quality of the whole registration.

Design and Implementation of a UDDI Service Middleware based on the ebXML Registry (ebXML레지스트리 기반의 UDDI 서비스 미들웨어 설계 및 구현)

  • 박재홍;김상균;이규철;김경일;김록원;송병열;조현규
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.307-319
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    • 2004
  • Recently, ebXML and Web Services are emerging as the XML-based electronic business frameworks. To provide a set of registry services which users or applications can store and search the business information, ebXML and Web Services use ebXML registry and UDDI registry, respectively. They use the different registries each other, but there are something that similiar to the structure and functions of both of registries. In this paper, we analyze the similarity of ebXML Registry Information Model(RIM) and UDDI data structure, and construct the mapping information. So, we design and implement the UDDI Service Middleware which translates the request of UDDI registry service into the request of ebXML registry service using the algorithm. Consequently, we could use the ebXML registry like ebXML registry as well as UDDI registry without any changes in the ebXML registry itself so that we can not need to have both of registries for e-business.

Implementation of Registry Virtualization on Windows (윈도우 운영체제에서 레지스트리 가상화 구현)

  • Shin, Dong-Ha
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.2
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    • pp.19-26
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    • 2010
  • The Windows registry is a hierarchical database where the configuration data of a system or application programs is stored. In this paper, we presented and implemented a registry virtualization algorithm and measured its performance. The registry virtualization algorithm presented in the paper is called Copy-One-level On Write-Open(COOWO) that is a modified version of general Copy On Whte(COW) method to make it suitable for registry virtualization. In this paper, we implemented the proposed algorithm as a dynamically loadable library in Windows and applied it to many Windows application programs. This paper is meaningful since we described a registry virtualization algorithm in detail in situation where we can not find papers that describe the registry virtualization in detail, and we could find the performance of the algorithm can be used in the real applications.

A Progressive Metadata Building Methodology based on Data Visibility (데이타 가시성 기반의 점진적 메타데이타 레지스트리 구축 방법론)

  • 정동원;신동길;정은주;이정욱;서태설;백두권
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.6
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    • pp.610-622
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    • 2003
  • Metadata Registry was developed to dynamically manage metadata and to increase interoperability between various and heterogeneous metadata. The built metadata registry can be used as a standard guideline for creation of new databases and it provides a radical data integration mechanism. However, in the situation that an enormous databases must be integrated progressively, there is a limit to the existing metadata-based approach. In case that each database has no statistical information for its use rate and the restricted cost is given to us for a unit time, existing metadata-based approaches do not provide how to select some databases to be preferentially integrated and to build a metadata registry progressively, In this paper, we propose a methodology that can create progressively metadata registries in the case. The proposed methodology is based on data visibility and hierarchical metadata registry. We also describe the system that have been developed for applying the methodology to a real domain, and then described its results.

Study of Registry Designing for the Hydrographic Data Standard Technology Operation (수로정보 표준기술 운용을 위한 등록소 설계 연구)

  • Kim, Ho-Yoon;Oh, Se-Woong;Shim, Woo-Sung;Suh, Sang-Hyun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2012.06a
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    • pp.87-88
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    • 2012
  • The IHO developed the S-100 standard for Digital Hydrographic Data in order to assist the proper and efficient use of hydrographic data and information for the safety of navigation and the protection of marine environment. The former model, S-57, was considered outdated to be utilized as the basis for the next-generation Electronic Chart(ENC) product specification. The key feature of the S-100 standard is the use of Registry and its components, Registers. This online-based Registry provides a universal standard that can be implemented in the actual performance of the navigation system with convenience. In the current situation, the only registry is owned by the IHO and it is available to domain experts. However, since S-100 is an international standard operated by an international organization, the process of the changes and updates of the data requires time before immediate implementation when demanded. Therefore, regarding the safety of navigation of the domestic users and mariners, a separate domestic registry is necessary to develop a domestic Information Registry. This study specifically aims to build a Registry based on IHO published S-99 through designing an adequate website dedicated for its purpose to provide collection of definitions and hydrographic data.

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A Study on Distribution Query Conversion Method for Real-time Integrating Retrieval based on TMDR (TMDR 기반의 실시간 통합 검색을 위한 분산질의 변환 기법에 대한 연구)

  • Hwang, Chi-Gon;Shin, Hyo-Young;Jung, Kye-Dong;Choi, Young-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1701-1707
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    • 2010
  • This study is intended for implementing the system environment that can help integrate and retrieve various types of data in real-time by providing semantic interoperability among distributed heterogeneous information systems. The semantic interoperability is made possible by providing a TMDR(Topicmaps Metadata Registry), a set of ontologies. TMDR, which has been made by combining MDR(MetaData Registry) and TopicMaps and storing them in the database, is able to generate distributed query and provide efficient knowledge. MDR is a metadata management technique for distributed data management. TopicMaps is an ontology representation technique that takes into consideration the hierarchy and association for accessing knowledge data. We have created TMDR, a kind of ontology, that is fit for any system and able to detect and resolve semantic conflicts on the level of data and schema. With this system we propose a query-processing technique to integrate and access heterogeneous information sources. Unlike existing retrieval methods this makes possible efficient retrieval and reasoning by providing association focusing on subjects.

Evaluation of Delhi Population Based Cancer Registry and Trends of Tobacco Related Cancers

  • Yadav, Rajesh;Garg, Renu;Manoharan, N;Swasticharan, L;Julka, PK;Rath, GK
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2841-2846
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    • 2016
  • Background: Tobacco use is the single most important preventable risk factor for cancer. Surveillance of tobacco-related cancers (TRC) is critical for monitoring trends and evaluating tobacco control programmes. We analysed the trends of TRC and evaluated the population-based cancer registry (PBCR) in Delhi for simplicity, comparability, validity, timeliness and representativeness. Materials and Methods: We interviewed key informants, observed registry processes and analysed the PBCR dataset for the period 1988-2009 using the 2009 TRC definition of the International Agency for Research on Cancer. We calculated the percentages of morphologically verified cancers, death certificate-only (DCO) cases, missing values of key variables and the time between cancer diagnosis and registration or publication for the year 2009. Results: The number of new cancer cases increased from 5,854 to 15,244 (160%) during 1988-2009. TRC constituted 58% of all cancers among men and 47% among women in 2009. The age-adjusted incidence rates of TRC per 100,000 population increased from 64.2 to 97.3 among men, and from 66.2 to 69.2 among women during 1988-2009. Data on all cancer cases presenting at all major government and private health facilities are actively collected by the PBCR staff using standard paper-based forms. Data abstraction and coding is conducted manually following ICD-10 classifications. Eighty per cent of cases were morphologically verified and 1% were identified by death certificate only. Less than 1% of key variables had missing values. The median time to registration and publishing was 13 and 32 months, respectively. Conclusions: The burden of TRC in Delhi is high and increasing. The Delhi PBCR is well organized and generates high-quality, representative data. However, data could be published earlier if paper-based data are replaced by electronic data abstraction.

Modeling Age-specific Cancer Incidences Using Logistic Growth Equations: Implications for Data Collection

  • Shen, Xing-Rong;Feng, Rui;Chai, Jing;Cheng, Jing;Wang, De-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9731-9737
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    • 2014
  • Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.