Relevant bibliographies by topics / Data linkage

Academic literature on the topic 'Data linkage'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Data linkage"

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Schwartz, Harvey A. "Data linkage." Statistics in Medicine 14, no. 5-7 (March 15, 1995): 687–89. http://dx.doi.org/10.1002/sim.4780140525.

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Bergstra, J. A., and C. A. Middelburg. "Data Linkage Algebra, Data Linkage Dynamics, and Priority Rewriting." Fundamenta Informaticae 128, no. 4 (2013): 367–412. http://dx.doi.org/10.3233/fi-2013-950.

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Neil, Martin, and Richard Bache. "Data linkage maps." Journal of Software Maintenance: Research and Practice 5, no. 3 (1993): 155–64. http://dx.doi.org/10.1002/smr.4360050304.

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Fix, Jonathan, Amy I. Ising, Scott K. Proescholdbell, Dennis M. Falls, Catherine S. Wolff, Antonio R. Fernandez, and Anna E. Waller. "Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina." Public Health Reports 136, no. 1_suppl (November 2021): 54S—61S. http://dx.doi.org/10.1177/00333549211012400.

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Introduction Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. Methods We identified data on all EMS encounters in North Carolina during January 1–November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. Results We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. Practice Implications Through an iterative linkage approach, EMS–ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS–ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses.
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Untoro, Meida Cahyo. "MWMOTE optimization for imbalanced data using complete linkage." Jurnal Teknologi dan Sistem Komputer 9, no. 2 (January 18, 2021): 77–82. http://dx.doi.org/10.14710/jtsiskom.2021.13748.

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Imbalanced data can result in classification errors, such as in WMMOTE, and can decrease its performance and accuracy. Clustering in MWMOTE can be optimized to improve synthetic data generation and improve MWMOTE performance. This study aims to optimize the MWMOTE algorithm's performance in the clustering process in making synthetic data with complete linkage (CL). The dataset used a variety of data ratios to handle imbalanced data. The decision tree was used to determine the performance of MWMOTE and CL-MWMOTE oversampling. CL-MWMOTE evaluation results provide better and optimal performance than MWMOTE and increase the precision, recall, f-measure, and accuracy of 0.53 %, 0.67 %, 0.66 %, and 0.67 %, respectively.
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Kamimura, Tetsuo, Yoshihiko Abe, and Hideo Ikegami. "US-Japan Data Linkage." Kakuyūgō kenkyū 53, no. 1 (1985): 67–88. http://dx.doi.org/10.1585/jspf1958.53.67.

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Renwick, J. H., and M. M. Izatt. "Linkage data on monilethrix." Cytogenetic and Genome Research 47, no. 1-2 (1988): 108. http://dx.doi.org/10.1159/000132522.

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Greiver, Michelle, Karen Tu, Steven Bernard, Babak Aliarzadeh, Sumeet Kalia, Conrad Pow, Tao Chen, and Rahim Moineddin. "Data on Patient Record Trajectory for Linkage (DataPRinT Linkage)." Canadian Journal of Diabetes 45, no. 7 (November 2021): S22. http://dx.doi.org/10.1016/j.jcjd.2021.09.065.

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Sukarso, Aso, Asep Yusup Hanapia, and Chandra Budhi.L.S. "Analisis Keterkaitan antar Sektor Kunci Berdasarkan Data Input Output Kabupaten Tasikmalaya Tahun 2012." WELFARE Jurnal Ilmu Ekonomi 2, no. 2 (January 21, 2022): 148–58. http://dx.doi.org/10.37058/wlfr.v2i2.3627.

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This study aims to determine the backward linkages and forward linkages between key sectors in Tasikmalaya Regency. The data used is the Table of Input Output (BPS) of Tasikmalaya Regency in 2012. The data analysis in this study uses standard deviation processed by Excel. This study uses several approaches, namely: backward linkage and direct backward spreads; direct and indirect total backward linkage; direct, indirect, and induced total backward linkage; forward linkage and direct forward spreads; direct and indirect total forward linkages; direct, indirect, and induced total forward linkages. Based on the results of the study, it was found that sector 3 (processing industry) is a key sector that is directly, indirectly, and affected, this sector asks for inputs in other sectors equally. Meanwhile, sector 6 (trade, hotels and restaurants) is a key sector because directly, indirectly, and affected, this sector demands output in other sectors equally.Penelitian ini bertujuan untuk mengetahui keterkaitan ke belakang dan keterkaitan ke depan antar sektor kunci di Kabupaten Tasikmalaya. Data yang digunakan adalah tabel Input Output (BPS) Kabupaten Tasikmalaya Tahun 2012. Analisis data pada penelitian ini menggunakan standar deviasi yang diolah dengan Excel. Penelitian ini menggunakan beberapa pendekatan, yaitu: keterkaitan ke belakang dan penyebaran ke belakang langsung; keterkaitan ke belakang total langsung dan tidak langsung; keterkaitan ke belakang total langsung, tidak langsung, dan terimbas; keterkaitan ke depan dan penyebaran ke depan langsung; keterkaitan ke depan total langsung dan tidak langsung; keterkaitan ke depan total langsung, tidak langsung, dan terimbas. Berdasarkan hasil penelitian, diperoleh bahwa sektor 3 (industri pengolahan) adalah sektor kunci karena secara langsung, tidak langsung, dan terimbas, sektor ini meminta input atau faktor produksi pada sektor-sektor lain secara merata. Adapun sektor 6 (perdagangan, hotel dan restoran) adalah sektor kunci oleh karena secara langsung, tidak langsung, dan terimbas, sektor ini meminta output atau hasil produksi pada sektor-sektor lain secara merata.
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Gillespie, T., P. Dhillon, K. Ward, A. Aggarwal, D. Bumb, D. Kondal, N. Kaushik, et al. "Feasibility and Results of Cancer Registry and Noncommunicable Disease Cohort Data Linkages in India." Journal of Global Oncology 4, Supplement 2 (October 1, 2018): 65s. http://dx.doi.org/10.1200/jgo.18.53600.

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Background: Cancer registries worldwide are vital to determine cancer burden, plan cancer control measures, and facilitate research. Population-based cancer registries are a priority for LMICs by the UICC; the National Cancer Registry Program (NCRP) of India oversees 28 such registries. A primary function of registries is to combine data for the same individual from multiple sources. For other disease cohorts where cancer is an outcome of interest, registries can potentially connect information by linking datasets together. Barriers to successful registration and linkages include systems in which cancer is not a notifiable disease, no universal unique individual identifier exists, and lack of trained personnel. This study utilizes technology and infrastructure to develop better linkages, surveillance, and outcomes. Aim: To assess the feasibility of linking large cohorts designed for cardio-metabolic disease research with cancer registries in New Delhi and Chennai; determine additional steps required for linkage accuracy and completeness; and develop detailed protocols for future applications. Methods: A pilot protocol for linkage between a large diabetes cohort and cancer registries in Delhi and Chennai was developed using MatchPro, a probabilistic record linkage program developed for cancer registries. Probabilistic software links datasets together in the presence of uncertainty (eg misspelled or abbreviated names) to identify record pairs with high probability of representing the same individual. For this study, algorithms were developed to address unique aspects of names and demographics in India. The software and algorithms focused on: detecting duplicates in cancer registries; and linking registries with external files from diabetes cohorts. In Delhi, 3 1-year datasets covering 3 years (2010, 2011, 2012) were linked with the diabetes cohort; in Chennai, the linkage included 3 5-year datasets covering 15 years (2000-04, '05-'09, '10-'14). The unique ID (Aadhaar) is not collected or linked systematically between different systems at this point in time. Results: Linkage attempts yielded potential matches ranked according to probabilistic scores; highest scores were reviewed to determine true matches. In Chennai, this process yielded: (2010-2014) 21% self-reported (SR) cases matching perfectly, 36% requiring follow-up, 13 nonreported (NR) cases found; 2005-2009: 33% SR cases matched perfectly, 1 NR case found; 2000-2004: 1 NR case. Also, 2 training workshops on data linkages and software were held. Conclusion: Linkages between cancer registries and other data sources are feasible in LMICs using probabilistic record linkage software augmented by manual matching. Future efforts to use existing epidemiologic resources (cohorts) and cancer research infrastructure (registries and clinical centers) can enhance research including understanding shared risk factors and pathophysiologic mechanisms e.g., between cancer and other NCD.
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Dissertations / Theses on the topic "Data linkage"

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Kirby, Bradley. "Data linkage for pharmacovigilance using routinely acquired electronic health data." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=215567.

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Introduction: Despite the establishment of pharmacovigilance systems, there is a recognised paucity of information specifically on the safety of paediatric medicines. Data linkage techniques offer real potential for linking routinely collected population based primary and secondary care datasets, using the Community Health Index (CHI) as a patient linkage key, to monitor the safety of new drugs and treatments. Aim: To explore the validity of routinely acquired NHS data and the utility of linking this data to support a routine mechanism for post-marketing surveillance of paediatric medicines. Methods: The internal and external validity of the Scottish national Prescribing Information System (PIS) was assessed using retrospective cohort studies combined with data linkage techniques. This PhD programme assesses the consistency of unique patient identifiers; the completeness and accuracy of the data; and the extent to which well established associations between drugs and adverse events can be reproduced using routinely collected NHS data. Results: For routine prescribing data a CHI number was found present on nearly 95% of dispensed items. In the first cohort study, insulin prescriptions within PIS were identified for 96% (95% CI 0.96-0.97) of children hospitalised for type 1 diabetes (SMR01). The rates of newly prescribed insulin were concordant with published rates in both Scottish and non-Scottish populations. In the second study asthma prescribing in children was observed to be complete (sensitivity 0.96 (95% CI 0.95-0.98)) and accurate (PPV 0.87 (95% CI 0.83-0.9)) when compared with a gold standard patient registry. Finally, patients newly prescribed NSAID therapy were observed to be 1.51 (95% CI 1.24-1.85) to 3.97 (95% CI 1.27 – 12.46) times more likely to experience first time hospitalisation for a gastrointestinal event than unexposed. Significant risk factors for a GI event were age and concurrent use of antiplatelet and anticoagulant therapy. These results are concordant with the published literature. Conclusions: Routine Scottish prescribing data is consistent, complete and accurate; however several key variables such as indication, dose and frequency, which are essential for robust pharmacovigilance, are currently missing from routinely collected data.
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Wong, León Kevin, and Valdivia Diego Eduardo Antonio Rodríguez. "Distributed Social Media System - Multimedia Data Linkage." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2014. http://hdl.handle.net/10757/324525.

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Actualmente, las redes sociales en línea son uno de los principales medios donde se intercambia gran cantidad de información. En estas, los usuarios intentan reflejar su actividad diaria en forma de publicaciones en sus muros o de otros usuarios. Asimismo, las imágenes representan gran parte de la información sobre la actividad del usuario, por ejemplo, una foto en donde esté etiquetado. Estas interacciones del usuario en las redes ayudan a generar su identidad digital. La información revelada por la metadata de las imágenes enriquece este perfil y contribuye a mejorar los resultados en procesos como minería de datos, marketing, etc. El objetivo de este proyecto es generar un perfil digital en base a la información y actividad que contribuye un usuario a una red social, recopilando y mostrando explícitamente varios hechos que se revelan aprovechando la metadata de las imágenes y el factor temporal de la actividad en línea. Esto incluye el proceso de extracción, enriquecimiento y encapsulación de data en un modelo ontológico propuesto. Los resultados de los experimentos muestran que la información en el perfil, luego del enriquecimiento, es aproximadamente cuatro veces la información inicial, y la precisión de la nueva información está por encima del 75%. Trabajos futuros se inclinan hacia la detección del tipo de relación que existe entre una persona y uno de sus contactos. Asimismo, otro tema relevante a explorar incluye la extracción de un mayor rango de entidades, tales como eventos o temas de interés de un individuo, con el fin de mejorar el perfil digital del usuario. Finalmente, la minería de datos en el proceso de extracción de información ayudaría a enfocar mejor el marketing a los usuarios de redes sociales ya que dicha publicidad podría hacerse más personalizada. Palabras clave Linked data, información multimedia, perfil digital, redes sociales, metadata
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Snae, Chakkrit. "An investigation of computer based nominal data record linkage." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433784.

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The Internet now provides access to vast volumes of nominal data (data associated with names e. g. birth/death records, parish records, text articles, multimedia) collected for a range of different purposes. This research focuses on parish registers containing baptism, marriage, and burial records. Mining these data resources involves linkage investigating as to how two records are related with regards to attributes like surname, spatio-temporal location, legal association and inter-relationships. Furthermore, as well as handling the implicit constraints of nominal data, such a system must also be able to handle automatically a range of temporal and spatial rules and constraints. The research examines the linkage rules that apply and how such rules interact. In this investigation a report is given of the current practices in several disciplines (e. g. history, demography, genealogy, and epidemiology) and how these are implemented in current computer and database systems. The practical aspects of this study, and the workbench approach proposed are centred on the extensive Lancashire & Cheshire Parish Register archive held on the MIMAS database computer located at Manchester University. The research also proposes how these findings can have wider applications. This thesis describes some initial research into this problem. It describes three prototypes of nominal data workbench that allow the specification and examination of several linkage types and discusses the merits of alternative name matching methods, name grouping techniques and method comparisons. The conclusion is that in the cases examined so far, effective nominal data linkage is essentially a query optimisation process. The process is made more efficient if linkage specific indexes exist, and suggests that query re-organization based on these indexes, though a complex process, is entirely feasible. To facilitate the use of indexes and to guide the optimization process, the work suggests the use of formal ontologies.
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Ioannou, Ekaterini [Verfasser]. "Entity linkage for heterogeneous, uncertain, and volatile data / Ekaterini Ioannou." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2011. http://d-nb.info/1013290062/34.

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Haque, Shovanur S. "Assessing the accuracy of record matching algorithms in data linkage." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123042/1/Shovanur_Haque_Thesis.pdf.

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This thesis developed a Markov Chain based Monte Carlo (MaCSim) simulation approach, implemented in the R software, for assessing the accuracy of a linked file and illustrates the utility of the approach using the ABS (Australian Bureau of Statistics) synthetic data in realistic data settings. MaCSim, can be used either to assess a linking method or to compare multiple linking methods. The accuracy results using MaCSim can inform decisions on a preferred linking method or whether records are linkable at all. This will prove extremely important in applying analysis techniques which can adequately account for the errors associated with linkage.
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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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Andreassen, Trine S. "Physical activity through generations : Family linkage data from the HUNT Study." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for nevromedisin, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25600.

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The aim of this study was to investigate familial associations in leisure time physical activity. We used data form the HUNT study, where we included parents form HUNT1 (1984-1986) and their adult offspring form HUNT3 (2006-2008). The family relationship between parents and their offspring was found using their unique 11-digit personal identification number at Statistics Norway. The analysis consisted of 24 649 mother-offspring pairs, 20 965 father-offspring pairs, and we also constructed 17 692 trios including mother, father and offspring. We measured leisure time physical activity in three different perspectives. Logistic regression was used to calculate odds ratio (OR). All analysis were adjusted by possible confounders; parental age, body mass index (BMI), education level, and smoking habits. The results showed that offspring physical activity level was associated with parental physical activity level; offspring of parents who were highly physically active had lower OR of inactivity, than those of parents who were less active or inactive. We also found that offspring of parents who were physically active had a higher OR of being physically active themselves. These associations became stronger the more physically active the parents were. Finally, the results show that physical activity in either parent was associated with a reduced OR, partly irrespective of the other parent physical activity level. In conclusion, with this population-based family study, we found consistent associations between parents and their adult offspring for all three leisure time physical activity measures studied. Keywords: genetic epidemiology, familial relationship, adult offspring, public health, physical activity.
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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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Leepe, Khadija Akter. "Felligi-Sunter Mixed Model And Beta Record Linkage Approach To Integrate Business Data With Social Data." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-67993.

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Books on the topic "Data linkage"

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Karmel, Rosemary. Data linkage protocols using a statistical linkage key. Canberra: Australian Institute of Health and Welfare, 2005.

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Harron, Katie, Harvey Goldstein, and Chris Dibben, eds. Methodological Developments in Data Linkage. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119072454.

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Zimmer, Harry. Evolution of data warehousing & linkage to the business. [Atlanta]: Information Management Forum, 1997.

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Jurg, Ott, ed. Handbook of human genetic linkage. Baltimore: Johns Hopkins University Press, 1994.

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Williamson, Hugh F., and Sabina Leonelli, eds. Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13276-6.

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

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N, Kravets, Woodruff T. J, National Health Interview Survey (U.S.), National Center for Health Statistics (U.S.), and United States. Environmental Protection Agency., eds. Linkage of the National Health Interview Survey to air quality data. Hyattsville, Md: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2008.

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Karmel, Rosemary. Comparing name-based and event-based strategies for data linkage: A study linking hospital and residential aged care data for Western Australia. Canberra: Australian Institute of Health and Welfare, 2007.

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service), SpringerLink (Online, ed. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Pant, Devendra Kumar. Human development, demographic transition, and economic growth linkage: An econometric analysis with Indian data. New Delhi: National Council of Applied Economic Research, 1997.

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Book chapters on the topic "Data linkage"

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Winkler, William E. "Data Linkage." In Encyclopedia of Cryptography and Security, 301–3. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_750.

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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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Winkler, William E. "Probabilistic linkage." In Methodological Developments in Data Linkage, 8–35. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119072454.ch2.

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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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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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Gruenheid, Anja. "Record Linkage." In Encyclopedia of Big Data Technologies, 1409–13. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_19.

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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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Dibben, Chris, Mark Elliot, Heather Gowans, and Darren Lightfoot. "The data linkage environment." In Methodological Developments in Data Linkage, 36–62. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119072454.ch3.

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Conference papers on the topic "Data linkage"

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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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On, Byung-Won, Nick Koudas, Dongwon Lee, and Divesh Srivastava. "Group Linkage." In 2007 IEEE 23rd International Conference on Data Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icde.2007.367895.

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Sun, Zhaonan, Fei Wang, and Jianying Hu. "LINKAGE." In KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2783258.2783324.

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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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Gschwind, Thomas, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka, and Paolo Scotton. "Fast Record Linkage for Company Entities." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006095.

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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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O'Keefe, Christine M., Ming Yung, Lifang Gu, and Rohan Baxter. "Privacy-preserving data linkage protocols." In the 2004 ACM workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1029179.1029203.

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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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Huang, Shin-Ying, Tzu-Hsien Chuang, Shi-Meng Huang, and Tao Ban. "Malicious URL Linkage Analysis and Common Pattern Discovery." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006145.

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Basïk, Fuat, Hakan Ferhatosmanoğlu, and Bućra Gedik. "SLIM: Scalable Linkage of Mobility Data." In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3318464.3389761.

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Reports on the topic "Data linkage"

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Wilcox, Holly C., Lawrence Wissow, Hadi Kharrazi, Renee F. Wilson, Rashelle J. Musci, Allen Zhang, and Karen A. Robinson. Data Linkage Strategies to Advance Youth Suicide Prevention. Agency for Healthcare Research and Quality, September 2016. http://dx.doi.org/10.23970/ahrqepcerta222.

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Rechard, R. P. Review and discussion of code linkage and data flow in nuclear waste compliance assessments. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/6348071.

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McIntyre, O. R. Linkage of Molecular and Epidemiological Breast Cancer Investigations with Treatment Data: A Specialized Registry. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada371250.

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McIntyre, O. R. Linkage of Molecular and Epidemiological Breast Cancer Investigations with Treatment Data: A Specialized Registry. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada336862.

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McIntyre, O. R. Linkage of Molecular and Epidemiological Breast Cancer Investigations With Treatment Data: A Specialized Registry. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada382830.

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Emma, Stewart. Maternal and Child Health Network Data Briefing 1: What Can We Learn about Child Health Inequalities with Data Linkage? A Scottish Example. University of Glasgow, April 2022. http://dx.doi.org/10.36399/gla.pubs.270471.

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Sela, Hanan, Eduard Akhunov, and Brian J. Steffenson. Population genomics, linkage disequilibrium and association mapping of stripe rust resistance genes in wild emmer wheat, Triticum turgidum ssp. dicoccoides. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598170.bard.

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The primary goals of this project were: (1) development of a genetically characterized association panel of wild emmer for high resolution analysis of the genetic basis of complex traits; (2) characterization and mapping of genes and QTL for seedling and adult plant resistance to stripe rust in wild emmer populations; (3) characterization of LD patterns along wild emmer chromosomes; (4) elucidation of the multi-locus genetic structure of wild emmer populations and its correlation with geo-climatic variables at the collection sites. Introduction In recent years, Stripe (yellow) rust (Yr) caused by Pucciniastriiformis f. sp. tritici(PST) has become a major threat to wheat crops in many parts of the world. New races have overcome most of the known resistances. It is essential, therefore, that the search for new genes will continue, followed by their mapping by molecular markers and introgression into the elite varieties by marker-assisted selection (MAS). The reservoir of genes for disease and pest resistance in wild emmer wheat (Triticumdicoccoides) is an important resource that must be made available to wheat breeders. The majority of resistance genes that were introgressed so far in cultivated wheat are resistance (R) genes. These genes, though confering near-immunity from the seedling stage, are often overcome by the pathogen in a short period after being deployed over vast production areas. On the other hand, adult-plant resistance (APR) is usually more durable since it is, in many cases, polygenic and confers partial resistance that may put less selective pressure on the pathogen. In this project, we have screened a collection of 480 wild emmer accessions originating from Israel for APR and seedling resistance to PST. Seedling resistance was tested against one Israeli and 3 North American PST isolates. APR was tested on accessions that did not have seedling resistance. The APR screen was conducted in two fields in Israel and in one field in the USA over 3 years for a total of 11 replicates. We have found about 20 accessions that have moderate stripe rust APR with infection type (IT<5), and about 20 additional accessions that have novel seedling resistance (IT<3). We have genotyped the collection using genotyping by sequencing (GBS) and the 90K SNP chip array. GBS yielded a total 341K SNP that were filtered to 150K informative SNP. The 90K assay resulted in 11K informative SNP. We have conducted a genome-wide association scan (GWAS) and found one significant locus on 6BL ( -log p >5). Two novel loci were found for seedling resistance. Further investigation of the 6BL locus and the effect of Yr36 showed that the 6BL locus and the Yr36 have additive effect and that the presence of favorable alleles of both loci results in reduction of 2 grades in the IT score. To identify alleles conferring adaption to extreme climatic conditions, we have associated the patterns of genomic variation in wild emmer with historic climate data from the accessions’ collection sites. The analysis of population stratification revealed four genetically distinct groups of wild emmer accessions coinciding with their geographic distribution. Partitioning of genomic variance showed that geographic location and climate together explain 43% of SNPs among emmer accessions with 19% of SNPs affected by climatic factors. The top three bioclimatic factors driving SNP distribution were temperature seasonality, precipitation seasonality, and isothermality. Association mapping approaches revealed 57 SNPs associated with these bio-climatic variables. Out of 21 unique genomic regions controlling heading date variation, 10 (~50%) overlapped with SNPs showing significant association with at least one of the three bioclimatic variables. This result suggests that a substantial part of the genomic variation associated with local adaptation in wild emmer is driven by selection acting on loci regulating flowering. Conclusions: Wild emmer can serve as a good source for novel APR and seedling R genes for stripe rust resistance. APR for stripe rust is a complex trait conferred by several loci that may have an additive effect. GWAS is feasible in the wild emmer population, however, its detection power is limited. A panel of wild emmer tagged with more than 150K SNP is available for further GWAS of important traits. The insights gained by the bioclimatic-gentic associations should be taken into consideration when planning conservation strategies.
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Dickman, Martin B., and Oded Yarden. Phosphorylative Transduction of Developmental and Pathogenicity-Related Cues in Sclerotinia Sclerotiorum. United States Department of Agriculture, April 2004. http://dx.doi.org/10.32747/2004.7586472.bard.

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Sclerotinia sclerotiorum (Lib.) de Bary is among the world's most successful and omnivorous fungal plant pathogens. Included in the more than 400 species of plants reported as hosts to this fungus are canola, alfalfa, soybean, sunflower, dry bean, and potato. The general inability to develop resistant germplasm with these economically important crops to this pathogen has focused attention on the need for a more detailed examination of the pathogenic determinants involved in disease development. This proposal involved experiments that examined the involvement of protein phosphorylation during morphogenesis (hyphal elongation and sclerotia formation) and pathogenesis (oxalic acid). Data obtained from our laboratories during the course of this project substantiates the fact that kinases and phosphatases are involved and important for these processes. A mechanistic understanding of the successful strategy(ies) used by S . sclerotiorum in infecting and proliferating in host plants and this linkage to fungal development will provide targets and/or novel approaches with which to design resistant crop plants including interference with fungal pathogenic development. The original objectives of this grant included: I. Clone the cyclic AMP-dependent protein kinase A (PKA) catalytic subunit gene from S.sclerotiorum and determine its role in fungal pathogenicity, OA production (OA) and/or morphogenesis (sclerotia formation). II. Clone and characterize the catalytic and regulatory subunits of the protein phosphatase PP2A holoenzyme complex and determine their role in fungal pathogenicity and/or morphogenesis as well as linkage with PKA-regulation of OA production and sclerotia formation. III. Clone and characterize the adenylate cyclase-encoding gene from S . sclerotiorum and detennine its relationship to the PKA/PP2A-regulated pathway. IV. Analyze the expression patterns of the above-mentioned genes and their products during pathogenesis and determine their linkage with infection and fungal growth.
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Dunlavy, Daniel M., W. Philip, Jr Kegelmeyer, and Tamara Gibson Kolda. Multilinear algebra for analyzing data with multiple linkages. Office of Scientific and Technical Information (OSTI), April 2006. http://dx.doi.org/10.2172/883132.

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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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