Relevant bibliographies by topics / Record linkage

Academic literature on the topic 'Record linkage'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Record linkage"

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Roos, L. L., and A. Wajda. "Record Linkage Strategies." Methods of Information in Medicine 30, no. 02 (1991): 117–23. http://dx.doi.org/10.1055/s-0038-1634828.

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AbstractRecord linkage techniques can help identify the same patient for matching diverse files (hospital discharge abstracts, insurance claims, registries, Vital Statistics data) which contain similar identifiers. Prior knowledge of whether a linkage is feasible is important to prevent wasted effort (additional data collection or data manipulation), which decreases the cost-effectiveness of the linkage. Using examples generated by linking the Manitoba Health Services Commission data with Vital Statistics files, a method of estimating the information in each data set is presented first. Further, the feasibility of several different record linkage strategies is described and tested, given varying amounts of information. At the margin, relatively small amounts of information (having just one more variable to match with) can make a great difference. Probabilistic linkage’s great advantage was found in those situations where only a moderate amount of extra information was available.By using the above techniques when working with one or both files in a proposed record linkage project, a much more informed judgement can now be made as to whether a linkage will or will not work. In facilitating record linkage, flexibility of both software and the strategy for matching is very important.
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Stern, Robert S. "Record Linkage." Archives of Dermatology 122, no. 12 (December 1, 1986): 1383. http://dx.doi.org/10.1001/archderm.1986.01660240047012.

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Herzog, Thomas H., Fritz Scheuren, and William E. Winkler. "Record linkage." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 5 (July 20, 2010): 535–43. http://dx.doi.org/10.1002/wics.108.

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Shah, Gulzar H., Kaveepan Lertwachara, and Anteneh Ayanso. "Record Linkage in Healthcare." International Journal of Healthcare Delivery Reform Initiatives 2, no. 3 (July 2010): 29–47. http://dx.doi.org/10.4018/jhdri.2010070104.

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Recent years have witnessed the development of new record linkage technologies that are increasingly being used for data integration in various application settings. The authors’ objective in this article is to provide a review of recent developments in medical record linkage and their implications in healthcare research and public health policies. In particular, the authors assess the key advantages and possible limitations of record linkage techniques and technologies in various health care scenarios where different pieces of patient records are collected and managed by different agencies. First, the authors provide a brief overview of deterministic, probabilistic, and unsupervised record linkage techniques and their advantages and limitations. Then, the authors describe current probablistic record linkage software and their functionalities, and present specific cases where probabilistic linkage has been successfully used to enhance decision-making in healthcare delivery as well as in healthcare-related public policy making. Finally, the authors outline some of the critical issues and challenges of integrating medical records across distributed databases, including technical considerations as well as concerns about patient privacy and confidentiality.
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Guiver, Tenniel, Sean Randall, Anna Ferrante, James Semmens, Phil Anderson, Teresa Dickinson, and James Boyd. "A Simple Sampling Method for Estimating the Accuracy of Large Scale Record Linkage Projects." Methods of Information in Medicine 55, no. 03 (2016): 276–83. http://dx.doi.org/10.3414/me15-01-0152.

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SummaryBackground: Record linkage techniques allow different data collections to be brought together to provide a wider picture of the health status of individuals. Ensuring high linkage quality is important to guarantee the quality and integrity of research. Current methods for measuring linkage quality typically focus on precision (the proportion of incorrect links), given the difficulty of measuring the proportion of false negatives.Objectives: The aim of this work is to introduce and evaluate a sampling based method to estimate both precision and recall following record linkage.Methods: In the sampling based method, record-pairs from each threshold (including those below the identified cut-off for acceptance) are sampled and clerically reviewed. These results are then applied to the entire set of record-pairs, providing estimates of false positives and false negatives. This method was evaluated on a synthetically generated dataset, where the true match status (which records belonged to the same person) was known.Results: The sampled estimates of linkage quality were relatively close to actual linkage quality metrics calculated for the whole synthetic dataset. The precision and recall measures for seven reviewers were very consistent with little variation in the clerical assessment results (overall agreement using the Fleiss Kappa statistics was 0.601).Conclusions: This method presents as a possible means of accurately estimating matching quality and refining linkages in population level linkage studies. The sampling approach is especially important for large project linkages where the number of record pairs produced may be very large often running into millions.
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Friedman, Gary D. "Automated record linkage." Clinical Pharmacology and Therapeutics 47, no. 4 (April 1990): 547–48. http://dx.doi.org/10.1038/clpt.1990.71.

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Sayers, Adrian, Yoav Ben-Shlomo, Ashley W. Blom, and Fiona Steele. "Probabilistic record linkage." International Journal of Epidemiology 45, no. 3 (December 20, 2015): 954–64. http://dx.doi.org/10.1093/ije/dyv322.

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Gruenheid, Anja, Xin Luna Dong, and Divesh Srivastava. "Incremental record linkage." Proceedings of the VLDB Endowment 7, no. 9 (May 2014): 697–708. http://dx.doi.org/10.14778/2732939.2732943.

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Zhang, Yinghao, Senlin Xu, Mingfan Zheng, and Xinran Li. "Field Weights Computation for Probabilistic Record Linkage in Presence of Missing Data." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 14 (April 30, 2020): 2059046. http://dx.doi.org/10.1142/s0218001420590466.

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Record linkage is the task for identifying which records refer to the same entity. When records in different data sources do not have a common key and they contain typographical errors in their identifier fields, the extended Fellegi–Sunter probabilistic record linkage method with consideration of field similarity proposed by Winkler, is one of the most effective methods to perform record linkage to our knowledge. But this method has a limitation that it cannot efficiently handle the problem of missing value in the fields, an inappropriate weight is assigned to record pair containing missing data. Therefore, to improve the performance of Winkler’s probabilistic record linkage method in presence of missing value, we proposed a solution for adjusting record pair’s weight when missing data occurred, which allows enhancing the accuracy of the Winkler’s record linkage decisions without increasing much more computational time.
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Tittarelli, A., G. Tagliabue, A. Maghini, S. Fabiano, P. Crosignani, R. Tessandori, and P. Contiero. "The EpiLink Record Linkage Software." Methods of Information in Medicine 44, no. 01 (2005): 66–71. http://dx.doi.org/10.1055/s-0038-1633924.

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Summary Objectives: Record linkage, the process of bringing together separately compiled but related records from different databases, is essential in many areas of biomedical research. We developed a record linkage program (EpiLink), which employs a simple mathematical approach. We describe the program and present results obtained testing it in a linkage task. Methods: EpiLink was designed to be flexible with user-friendly settings to tailor linkage and operating parameters to specific linkage tasks, and employ deterministic, probabilistic or sequential deterministic-probabilistic linkage strategies as required. The user can also standardize data format, examine linkage results and accept or discard them. We used EpiLink to link a subset of cases of the Lombardy Cancer Registry (20,724 records) with the Social Security file of the population (1,021,846 records) covered by the registry. The linkage strategy was deterministic, followed by several probabilistic linkage steps. Results: Manual inspection of the results showed that EpiLink achieved 98.8% specificity and 96.5% sensitivity. Conclusions: EpiLink is a practical and accurate means of linking records from different databases that can be used by non-statisticians and is efficient in terms of human and financial resources.
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Dissertations / Theses on the topic "Record linkage"

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Larsen, Stasha Ann Bown. "Record Linkage." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3833.

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This document explains the use of different metrics involved with record linkage. There are two forms of record linkage: deterministic and probabilistic. We will focus on probabilistic record linkage used in merging and updating two databases. Record pairs will be compared using character-based and phonetic-based similarity metrics to determine at what level they match. Performance measures are then calculated and Receiver Operating Characteristic (ROC) curves are formed. Finally, an economic model is applied that returns the optimal tolerance level two databases should use to determine a record pair match in order to maximize profit.
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Pixton, Burdette N. "Improving Record Linkage Through Pedigrees." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1398.pdf.

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Honório, Frederico Santos. "Multi-domain record linkage platform." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11750.

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Mestrado em Engenharia de Computadores e Telemática
This dissertation proposes and presents a technologic framework to perform record linkage. The proposed approach begins by defining a sequence of tasks necessary for record linkage. Then, several methods to split these tasks in small work units are discussed. The solution architecture is based on various executors that carry out the work units in a parallel manner, thereby making the process quicker. Finally, the benefits of using this approach in different contexts are also presented.
Esta dissertação propõe e apresenta uma ferramenta tecnológica que permite realizar mapeamento de registos. A abordagem proposta começa por definir uma sequência de tarefas necessárias para efetuar o mapeamento de registos. São depois discutidos métodos de separar estas tarefas em unidades de trabalho reduzidas. A solução baseia-se numa arquitetura composta por vários executores que levam a cabo essas unidades de trabalho de uma forma paralela, objectivando-se um processo mais rápido. As vantagens da utilização desta abordagem em diferentes contextos são também estudadas.
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Welford, John Anthony. "Nominal record linkage : the development of computer strategies to achieve the family-based record linkage of nineteenth century demographic data." Thesis, n.p, 1989. http://ethos.bl.uk/.

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Boyd, James Hutchison. "Record Linkage Techniques: Exploring and developing data matching methods to create national record linkage infrastructure to support population level research." Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/54163.

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In a world where the growth in digital information and systems continues to expand, researchers have access to unprecedented amounts of data. These large and complex data reservoirs require creative, innovative and scalable tools to unlock the potential of this ‘big data’. Record linkage is a powerful tool in the ‘big data’ arsenal. This thesis demonstrates the value of national record linkage infrastructure and how this has been achieved for the Australian research community.
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Nin, Guerrero Jordi. "Contributions to Record Linkage for Disclosure Risk Assessment." Doctoral thesis, Universitat Autònoma de Barcelona, 2008. http://hdl.handle.net/10803/5787.

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Cada dia una gran quantitat de dades són recollides pels instituts d'estadística. Aquest fet combinat amb el creixement que ha experimentat Internet en els darrers anys fa que hom es pregunti si les seves dades confidencials són emmagatzemades i distribuïdes d'una manera privada i segura.
En aquest marc, els mètodes de protecció de dades tenen una gran importància, convertint-se en crucial anonimitzar les dades abans de la seva publicació. Quan anonimitzem un conjunt de dades amb un mètode de protectió, s'ha d'avaluar el grau de privadesa de les noves dades protegides. Les tècniques de re-identificació, com l'enllaç de registres, són unes de les tècniques més utilitzades per avaluar la seguretat d'un mètode de protecció.
Aquesta tesi aplica mètodes d'enllaç de registres al càlcul del risc de revelació dels diferents mètodes de protecció de dades. L'objectiu d'aquest procés és avaluar la seguretat d'un mètode de protecció d'una forma pràctica i real. Les principals contribucions d'aquesta tesis són:
· La definició de tres mètodes d'enllaç de registres dissenyats per avaluar el risc de revelació de dos dels mètodes d'anonimització més utilitzats: la microagregació i l'intercanvi de rangs.
· La formalització d'una mesura empírica que avalua el risc de revelació de la microagregació multi variable.
· El desenvolupament de noves variants dels mètodes de protecció clàssics que són resistents a les tècniques d'enllaç de registres definides dins d'aquesta tesi.
· L'estudi de nous escenaris on el risc de revelació encara existeix. Concretament, hem definit un mètode de re-identificació basat en funcions d'agregació que permet re-identificar individus quan l'intrús no té accés a les dades originals abans d'ésser protegides. També hem desenvolupat un marc per a l'avaluació de mètodes de protecció quan aquests s'apliquen a series temporals. En aquest darrer escenari hem definit una serie de mesures per avaluar la pèrdua d'informació i el risc de revelació.
Every day, a large amount of data is collected by statistical agencies. This fact combined with the growth that the Internet has experimented during the recent years makes one wonders whether its confidential data is stored and distributed in a secure way.
In this framework, data protection methods have a great importance, becoming crucial to anonymize confidential attributes before releasing them in a private and secure manner. When a protection method is applied, a new and challenging problem arises. This problem is the evaluation of the privacy provided by such method. Re-identification techniques, as record linkage methods, are one of the most common techniques for evaluating the security of a protection method.
This thesis applies record linkage techniques to the calculation of the disclosure risk of a protection method. The aim of this application is to evaluate the security of a protection method in a real and fair way. The main contributions are:
· The definition of three specific record linkage techniques for evaluating two of the most common protection methods: rank swapping and microaggregation.
· The definition of an empirical disclosure risk measure for microaggregation.
· The development of new variants of rank swapping and microaggregation resistant to record linkage methods and disclosure risk measures defined in this thesis.
· The study of new disclosure risk scenarios. In particular, we have developed a record linkage method which applies aggregation functions to re-identify individuals when the intruder has no access to any of the original attributes of the protected data. We have also developed a framework for the evaluation of protection methods when they are applied to time series data.
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Cournut, Pierre. "Identification model of musical works using record linkage." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-249713.

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This thesis is based on a project that is part of IBM’s collaboration with a Collecting Right Organization that collects and distributes payments of authors’ rights. The project aimed at helping this organization identify right beneficiaries for musical tracks listened on online streaming platforms. Given as an input a list of tracks composed of metadata such as artist names, titles and listening statistics, the goal was to match each line with its corresponding element in this organization’s documentation. Since each broadcaster has its own catalogue of music, it can be hard sometimes to find the correct matching for each song. In practice, this organization has a dedicated team that handles manually some of the non-trivial cases. Whereas their identification process focuses on resources that contribute to 90% of the revenue of each listening report, it achieves an identification rate of around 70% of the resources declared which represent a substantial amount of unprocessed tracks left aside. In this thesis, we investigate the possibility to outperform the current solution and design a new identification model that combines concepts and technologies from various fields including search engines, string metrics and machine learning. First, the identification process used by the organization was reproduced and refined to quickly process the most trivial cases. On top of this, an identification algorithm that relies on a machine learning framework was built to process non-trivial cases. This method showed very promising results since it achieves an identification rate and a false discovery rate of the order of those of the current solution without the use of a dedicated team of experts.
Detta examensarbete bidrar till ett samarbetsprojekt mellan IBM och en upphovsrättsorganisation, som samlar in och distribuerar royalties till upphovsmän. Projektet syftade till att hjälpa denna organisation att identifiera upphovsrättsinnehavare för musikverk som spelas på strömmande plattformar. Givet en verklista med metadata, såsom artistnamn, titlar och lyssningsstatistik, var målet att matcha varje rad med motsvarande element i organisationens dokumentation. Eftersom varje musikdistributör har sin egen musikkatalog kan det vara svårt att hitta rätt upphovsman för ett givet verk. I praktiken har denna organisation ett arbetslag som hanterar de icke triviala fallen manuellt. Detta sökarbete fokuserar på resurser som bidrar till 90% av intäkterna för varje lyssningsrapport, och uppnår en identifieringsgrad på omkring 70%. En betydande mängd obearbetade lyssningsrapporter lämnas alltså åt sidan, vilket leder till förluster för rättighetsinnehavarna. I föreliggande arbete undersöktes möjligheten att överträffa den nuva- rande lösningen. En ny identifieringsmodell utformades som kombinerar begrepp och teknik från olika områden, inklusive sökmotorer, strängmätningar och maskininlärning. För det första reproducerades och förfinades identifieringsprocessen som användes av organisationen för att snabbt behandla de mest triviala fallen. Utöver detta tillkommer en identifieringsalgoritm som bygger på maskininlärning, för att behandla icke triviala fall. Metoden uppvisade mycket lovande resultat; den uppnår en identifieringstakt och en felprocent av samma storleksordning som den nuvarande lösningen, utan att använda människor som experter.
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Dannelöv, Johannes. "Study on Record Linkage regarding Accuracy and Scalability." Thesis, Umeå universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-155357.

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The idea of record linkage is to find records that refer to the same entity across different data sources. There are multiple synonyms that refer to record linkage, such as data matching, entity resolution, entity disambiguation, or deduplication etc. Record linkage is useful for lots of practices including data cleaning, data management, and business intelligence. Machine learning methods include both unsupervised and supervised learning methods have been applied to address the problem of record linkage. The rise of the big data era has presented new challenges. The trade-off of accuracy and scalability presents a few critical issues for the linkage process. The objective of this study is to present an overview of the state-of-the-art machine learning algorithms for record linkage, a comparison between them, and explore the optimization possibilities of these algorithms based on different similarity functions. The optimization is evaluated in terms of accuracy and scalability. Results showed that supervised classification algorithms, even with a relatively small training set, classified sets of data in shorter time and had approximately the same accuracy as the unsupervised counterparts.
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Holmlund, Olof. "EVALUATING RECORD LINKAGE METHODS FOR MANIFOLD IDENTITY DETECTION." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164720.

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Record Linkage is the process of linking two or more records in a database to the same real life entity. Th‘ese records do not share a common identifi€er. ‘This makes connecting them to each other a difficult task since they can only be linked based on similarities in their data. Th‘is data can also contain errors due to misspellings or missing €fields further increasing the difficulty of the task. In this thesis, common methods for comparing records and fi€nding duplicates are presented. Methods for increasing the performance and reducing the computer power needed are also presented to show how record-linkage can be used with big amounts of data. Built on this knowledge, several experiments comparing these methods have been conducted, using data from two benchmark data sets including Freely Extensible Biomedical Record Linkage (FEBRL) and the North Carolina Voter Registration (NCVR) data set. ‘The results presented show that di‚fferent types of similarity measures can have similar performance, and that supervised methods provide be‹tter prediction rates than unsupervised methods. Finally, suggestions for future work and improvements are given.
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Tušimová, Lucia. "Generování rodokmenů z matričních záznamů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417252.

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This work discusses the field of genealogy, different types of records and data in them. The thesis describes the topic of comparison of data and record linkage. It further it also discusses the design and implementation of the resulting system. The developed system connects people from parish records to larger pedigrees. These are then stored in the form of a graph database. The success of the interconnection of records was tested on the provided data sets.
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Books on the topic "Record linkage"

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W, Baskerville Stephen, Hudson Pat 1948-, and Morris R. J, eds. Record linkage. Oxford: Oxford University Press for the Association for History and Computing, 1992.

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A, Baldwin John, Acheson E. D. 1926-, and Graham W. J, eds. Textbook of medical record linkage. Oxford: Oxford University Press, 1987.

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Winchester, Ian. Record linkage in the microcomputer era. Umeå, Sweden: Demographic Data Base, Umeå University, 1985.

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Scanu, Mauro. Metodi statistici per il record linkage. Roma: ISTAT, 2003.

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Virginia. Department of Health. Report of the Department of Health: Progress report on a pilot project connecting public health providers to Carilion Health System's Electronic Health Record (EHR), to the Governor and the General Assembly of Virginia. Richmond, Va: Commonwealth of Virginia, 2006.

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Handbook of record linkage: Methods for health and statistical studies, administration, and business. Oxford [Oxfordshire]: Oxford University Press, 1988.

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SAFER electronic health records: Safety assurance factors for EHR resilience. Oakville, ON: Apple Academic Press, 2015.

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Workshop on Computerized Record Linkage in Health Research (1986 Ottawa, Ont.). Proceedings of the Workshop on Computerized Record Linkage in Health Research : Ottawa, Ontario, May 21-23, 1986 =: Débats de l'Atelier sur le jumelage informatisé des données nominatives pour fin de recherche dans le domaine de la santé. Edited by Howe Geoffrey R and Spasoff R. A. Toronto, Ont: University of Toronto Press, 1986.

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Workshop on Exact Matching Methodologies (1985 Arlington, Va.). Record linkage techniques, 1985: Proceedings of the Workshop on Exact Matching Methodologies, Arlington, Virginia, May 9-10, 1985 : co-sponsored with the Washington Statistical Society and the Federal Committee on Statistical Methodology. [Washington, D.C.]: Dept. of the Treasury, Internal Revenue Service, Statistics of Income Division, 1986.

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McGuire, Michael R. A preliminary design for a universal patient medical record: Re-engineering health care. Boca Raton, Fla: Universal-Publishers, 2010.

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Book chapters on the topic "Record linkage"

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Domingo-Ferrer, Josep. "Record Linkage." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_1504-2.

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Nahler, Gerhard. "record linkage." In Dictionary of Pharmaceutical Medicine, 157. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1198.

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Goldstein, Harvey, and Katie Harron. "Record linkage." In Methodological Developments in Data Linkage, 109–24. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119072454.ch6.

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Buhmann, M. D., Prem Melville, Vikas Sindhwani, Novi Quadrianto, Wray L. Buntine, Luís Torgo, Xinhua Zhang, et al. "Record Linkage." In Encyclopedia of Machine Learning, 838. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_706.

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Domingo-Ferrer, Josep. "Record Linkage." In Encyclopedia of Database Systems, 2353–54. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1504.

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Gruenheid, Anja. "Record Linkage." In Encyclopedia of Big Data Technologies, 1–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_19-1.

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Dong, Xin Luna, and Divesh Srivastava. "Record Linkage." In Big Data Integration, 63–106. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-01853-4_3.

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Chen, Jeffrey C., Edward A. Rubin, and Gary J. Cornwall. "Record Linkage." In Springer Series in the Data Sciences, 61–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71352-2_5.

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Christen, Peter, and William E. Winkler. "Record Linkage." In Encyclopedia of Machine Learning and Data Mining, 1–10. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7502-7_712-1.

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Christen, Peter, and William E. Winkler. "Record Linkage." In Encyclopedia of Machine Learning and Data Mining, 1066–75. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_712.

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Conference papers on the topic "Record linkage"

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Koudas, Nick, Sunita Sarawagi, and Divesh Srivastava. "Record linkage." In the 2006 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1142473.1142599.

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Wolcott, Luke, William Clements, and Prasad Saripalli. "Scalable Record Linkage." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622516.

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Yakout, Mohamed, Mikhail J. Atallah, and Ahmed Elmagarmid. "Efficient Private Record Linkage." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.221.

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Al-Lawati, Ali, Dongwon Lee, and Patrick McDaniel. "Blocking-aware private record linkage." In the 2nd international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1077501.1077513.

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Mamun, Abdullah-Al, Robert Aseltine, and Sanguthevar Rajasekaran. "Poster: Efficient record linkage techniques." In 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2014. http://dx.doi.org/10.1109/iccabs.2014.6863930.

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Ranbaduge, Thilina, and Peter Christen. "Privacy-Preserving Temporal Record Linkage." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00053.

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Wilson, D. Randall. "Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage." In 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE, 2011. http://dx.doi.org/10.1109/ijcnn.2011.6033192.

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Valkering, Onno, and Adam Belloum. "Privacy-Preserving Record Linkage with Spark." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE, 2019. http://dx.doi.org/10.1109/ccgrid.2019.00058.

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Gu, Lifang, and Rohan Baxter. "Adaptive Filtering for Efficient Record Linkage." In Proceedings of the 2004 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2004. http://dx.doi.org/10.1137/1.9781611972740.50.

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Karapiperis, Dimitrios, Aris Gkoulalas-Divanis, and Vassilios S. Verykios. "Efficient Record Linkage in Data Streams." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378127.

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Reports on the topic "Record linkage"

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Li, Eliot, Charles Nicholas, Tim Oates, and Raman K. Mehra. Intelligent Record Linkage Techniques Based on Information Retrieval, Natural Language Processing, and Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada408937.

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Swanson, David. Stability of ice wedges in Alaska's Arctic National Parks, 1951-2019. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293324.

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Ice-wedge polygons are a striking and widespread feature of the arctic landscape. Ice wedges are vulnerable to thaw because they are nearly pure ice bodies near the surface, with little insulating overlying material. Ice-wedge polygon monitoring is a part of the permafrost monitoring program for the National Park Services Arctic Inventory and Monitoring Network (ARCN, the five National Park units in northern Alaska). The present report is a re-analysis of ice-wedge condition in three study areas, based on satellite images taken in 2019 and 2020 (sampling episode 3). Results are compared to previous analyses based on aerial photographs from 1950-51 (episode 1) and satellite images from 2006-2009 (episode 2). Significant ice-wedge degradation occurred between sampling episodes 1 and 2 in one of the study areas (in Kobuk Valley National Park, KOVA). Sampling episode 3 revealed relatively minor changes from episode 2 in all three areas. This is somewhat surprising given the record warm temperatures that occurred between sampling episodes 2 and 3. Apparently the recent warming did not cross any thresholds that would trigger immediate and widespread visible changes in ice wedges, or insufficient time has elapsed since the recent onset of warmer temperatures in 2014. However, the effects of previous ice-wedge degradation continued to be manifested in new drainage channels that formed by linkage of pits from previous ice-wedge degradation. The Noatak National Preserve (NOAT) study area was affected by wildfires in 1977 and 2010, and comparison of burned to unburned areas in subsequent sampling episodes failed to show significant new ice-wedge degradation brought about by these fires.
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Garton, Timothy. Data enrichment and enhanced accessibility of waterborne commerce numerical data : spatially depicting the National Waterway Network. Engineer Research and Development Center (U.S.), December 2020. http://dx.doi.org/10.21079/11681/39223.

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This report provides methodologies and processes of data enrichment and enhanced accessibility of Waterborne Commerce and Statistics Center (WCSC) maintained databases. These databases house tabular and statistical data that reports on The U.S. Army Corps of Engineers (USACE) Civil Works Division National Waterway Network (NWN), which geospatially represents approximately 1,000 harbors and 25,000 miles of channels and waterways. WCSC is a division of The Institute for Water Resources (IWR). They have been tasked with the international collection, maintenance, and archival of all records involving commercial movements and commerce that occur on federal waterways. The current records structure is a large, tabular dataset and limited to the systems and processes put in place prior to the computing standards and capabilities available today. Methods have been tested and utilized to bring the tabular datasets into an optimized, modern geospatial network and expanded upon to create a higher resolution than previously maintained by the WCSC. This report will expand upon the applied methodologies to optimize data queries and the overall enhancement of the data system to allow for linkages to various other sources of information for commerce data enhancement for decision support assistance.
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Hajarizadeh, Behzad, Jennifer MacLachlan, Benjamin Cowie, and Gregory J. Dore. Population-level interventions to improve the health outcomes of people living with hepatitis B: an Evidence Check brokered by the Sax Institute for the NSW Ministry of Health, 2022. The Sax Institute, August 2022. http://dx.doi.org/10.57022/pxwj3682.

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Background An estimated 292 million people are living with chronic hepatitis B virus (HBV) infection globally, including 223,000 people in Australia. HBV diagnosis and linkage of people living with HBV to clinical care is suboptimal in Australia, with 27% of people living with HBV undiagnosed and 77% not receiving regular HBV clinical care. This systematic review aimed to characterize population-level interventions implemented to enhance all components of HBV care cascade and analyse the effectiveness of interventions. Review questions Question 1: What population-level interventions, programs or policy approaches have been shown to be effective in reducing the incidence of hepatitis B; and that may not yet be fully rolled out or evaluated in Australia demonstrate early effectiveness, or promise, in reducing the incidence of hepatitis B? Question 2: What population-level interventions and/or programs are effective at reducing disease burden for people in the community with hepatitis B? Methods Four bibliographic databases and 21 grey literature sources were searched. Studies were eligible for inclusion if the study population included people with or at risk of chronic HBV, and the study conducted a population-level interventions to decrease HBV incidence or disease burden or to enhance any components of HBV care cascade (i.e., diagnosis, linkage to care, treatment initiation, adherence to clinical care), or HBV vaccination coverage. Studies published in the past 10 years (since January 2012), with or without comparison groups were eligible for inclusion. Studies conducting an HBV screening intervention were eligible if they reported proportion of people participating in screening, proportion of newly diagnosed HBV (participant was unaware of their HBV status), proportion of people received HBV vaccination following screening, or proportion of participants diagnosed with chronic HBV infection who were linked to HBV clinical care. Studies were excluded if study population was less than 20 participants, intervention included a pharmaceutical intervention or a hospital-based intervention, or study was implemented in limited clinical services. The records were initially screened by title and abstract. The full texts of potentially eligible records were reviewed, and eligible studies were selected for inclusion. For each study included in analysis, the study outcome and corresponding 95% confidence intervals (95%CIs) were calculated. For studies including a comparison group, odds ratio (OR) and corresponding 95%CIs were calculated. Random effect meta-analysis models were used to calculate the pooled study outcome estimates. Stratified analyses were conducted by study setting, study population, and intervention-specific characteristics. Key findings A total of 61 studies were included in the analysis. A large majority of studies (study n=48, 79%) included single-arm studies with no concurrent control, with seven (12%) randomised controlled trials, and six (10%) non-randomised controlled studies. A total of 109 interventions were evaluated in 61 included studies. On-site or outreach HBV screening and linkage to HBV clinical care coordination were the most frequent interventions, conducted in 27 and 26 studies, respectively. Question 1 We found no studies reporting HBV incidence as the study outcome. One study conducted in remote area demonstrated that an intervention including education of pregnant women and training village health volunteers enhanced coverage of HBV birth dose vaccination (93% post-intervention, vs. 81% pre-intervention), but no data of HBV incidence among infants were reported. Question 2 Study outcomes most relevant to the HBV burden for people in the community with HBV included, HBV diagnosis, linkage to HBV care, and HBV vaccination coverage. Among randomised controlled trials aimed at enhancing HBV screening, a meta-analysis was conducted including three studies which implemented an intervention including community face-to-face education focused on HBV and/or liver cancer among migrants from high HBV prevalence areas. This analysis demonstrated a significantly higher HBV testing uptake in intervention groups with the likelihood of HBV testing 3.6 times higher among those participating in education programs compared to the control groups (OR: 3.62, 95% CI 2.72, 4.88). In another analysis, including 25 studies evaluating an intervention to enhance HBV screening, a pooled estimate of 66% of participants received HBV testing following the study intervention (95%CI: 58-75%), with high heterogeneity across studies (range: 17-98%; I-square: 99.9%). A stratified analysis by HBV screening strategy demonstrated that in the studies providing participants with on-site HBV testing, the proportion receiving HBV testing (80%, 95%CI: 72-87%) was significantly higher compared to the studies referring participants to an external site for HBV testing (54%, 95%CI: 37-71%). In the studies implementing an intervention to enhance linkage of people diagnosed with HBV infection to clinical care, the interventions included different components and varied across studies. The most common component was post-test counselling followed by assistance with scheduling clinical appointments, conducted in 52% and 38% of the studies, respectively. In meta-analysis, a pooled estimate of 73% of people with HBV infection were linked to HBV clinical care (95%CI: 64-81%), with high heterogeneity across studies (range: 28-100%; I-square: 99.2%). A stratified analysis by study population demonstrated that in the studies among general population in high prevalence countries, 94% of people (95%CI: 88-100%) who received the study intervention were linked to care, significantly higher than 72% (95%CI: 61-83%) in studies among migrants from high prevalence area living in a country with low prevalence. In 19 studies, HBV vaccination uptake was assessed after an intervention, among which one study assessed birth dose vaccination among infants, one study assessed vaccination in elementary school children and 17 studies assessed vaccination in adults. Among studies assessing adult vaccination, a pooled estimate of 38% (95%CI: 21-56%) of people initiated vaccination, with high heterogeneity across studies (range: 0.5-93%; I square: 99.9%). A stratified analysis by HBV vaccination strategy demonstrated that in the studies providing on-site vaccination, the uptake was 78% (95%CI: 62-94%), significantly higher compared to 27% (95%CI: 13-42%) in studies referring participants to an external site for vaccination. Conclusion This systematic review identified a wide variety of interventions, mostly multi-component interventions, to enhance HBV screening, linkage to HBV clinical care, and HBV vaccination coverage. High heterogeneity was observed in effectiveness of interventions in all three domains of screening, linkage to care, and vaccination. Strategies identified to boost the effectiveness of interventions included providing on-site HBV testing and vaccination (versus referral for testing and vaccination) and including community education focussed on HBV or liver cancer in an HBV screening program. Further studies are needed to evaluate the effectiveness of more novel interventions (e.g., point of care testing) and interventions specifically including Indigenous populations, people who inject drugs, men who have sex with men, and people incarcerated.
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Mirel, Lisa, Cindy Zhang, Christine Cox, Ye Yeats, Félix Suad El Burai, and Golden Cordell. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. Centers for Disease Control and Prevention (U.S.), May 2021. http://dx.doi.org/10.15620/cdc:104744.

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"Objectives—Linking national survey data with administrative data sources enables researchers to conduct analyses that would not be possible with each data source alone. Recently, the Data Linkage Program at the National Center for Health Statistics (NCHS) released updated Linked Mortality Files, including the National Health and Nutrition Examination Survey data linked to the National Death Index mortality files. Two versions of the files were released: restricted-use files available through NCHS and Federal Statistical Research Data Centers and public-use files. To reduce the reidentification risk, statistical disclosure limitation methods were applied to the public-use files before they were released. This included limiting the amount of mortality information available and perturbing cause of death and follow-up time for select records. Methods—To assess the comparability of the restricted-use and public-use files, relative hazard ratios for all-cause and cause-specific mortality using Cox proportional hazards models were estimated and compared. Results—The comparative analysis found that the two data files yield similar descriptive and model results. Suggested citation: Mirel LB, Zhang C, Cox CS, Ye Y, El Burai Félix S, Golden C. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. National Health Statistics Reports; no 155. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://doi.org/10.15620/cdc:104744. CS323656 nhsr155-508.pdf"
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Report of record linkage study of COVID-19 among teachers, healthcare workers and other working-age adults. Public Health Scotland, December 2020. http://dx.doi.org/10.52487/5864.

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