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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1988 1
1989 7
1990 2
1991 4
1992 3
1993 1
1994 4
1995 10
1996 3
1997 10
1998 7
1999 10
2000 9
2001 15
2002 12
2003 8
2004 19
2005 21
2006 25
2007 31
2008 40
2009 26
2010 53
2011 24
2012 54
2013 78
2014 77
2015 97
2016 48
2017 31
2018 25
2019 2
2020 0
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716 results
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Page 1
Probabilistic record linkage.
Sayers A, et al. Int J Epidemiol 2016. PMID 26686842 Free PMC article.
Studies involving the use of probabilistic record linkage are becoming increasingly common. However, the methods underpinning probabilistic record linkage are not widely taught or understood, and therefore these studies can appear to be a 'black box' research tool. ...We conclude this article with a brief discussion of some of the computational demands of record linkage, how you might assess the quality of your linkage algorithm, and how epidemiologists can maximize the value of their record-linked research using robust record linkage methods....
Studies involving the use of probabilistic record linkage are becoming increasingly common. However, the methods underpinning probabi …
Evaluation of record linkage methods for iterative insertions.
Sariyar M, et al. Methods Inf Med 2009. PMID 19696952
OBJECTIVES: There have been many developments and applications of mathematical methods in the context of record linkage as one area of interdisciplinary research efforts. ...RESULTS: Our central results show that stochastic record linkage based on the principle of the EM algorithm exhibits best classification results when calibrating data are structurally different to validation data. ...
OBJECTIVES: There have been many developments and applications of mathematical methods in the context of record linkage as one area o …
Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data.
Stausberg J, et al. Stud Health Technol Inform 2017. PMID 28423775
Record linkage (RL) is the process of identifying pairs of records that correspond to the same entity, for example the same patient. The basic approach assigns to each pair of records a similarity weight, and then determines a certain threshold, above which the two records are considered to be a match. ...
Record linkage (RL) is the process of identifying pairs of records that correspond to the same entity, for example the same pa
Improving record linkage performance in the presence of missing linkage data.
Ong TC, et al. J Biomed Inform 2014. PMID 24524889 Free article.
METHODS: By extending the Fellegi-Sunter scoring implementations available in the open-source Fine-grained Record Linkage (FRIL) software system we developed three novel methods to solve the missing data problem in record linkage, which we refer to as: Weight Redistribution, Distance Imputation, and Linkage Expansion. Weight Redistribution removes fields with missing data from the set of quasi-identifiers and redistributes the weight from the missing attribute based on relative proportions across the remaining available linkage fields. ...
METHODS: By extending the Fellegi-Sunter scoring implementations available in the open-source Fine-grained Record Linkage (FRIL) soft …
Concurrence of big data analytics and healthcare: A systematic review.
Mehta N and Pandit A. Int J Med Inform 2018. PMID 29673604
BACKGROUND: The application of Big Data analytics in healthcare has immense potential for improving the quality of care, reducing waste and error, and reducing the cost of care. ...CONCLUSION: This review study unveils that there is a paucity of information on evidence of real-world use of Big Data analytics in healthcare. ...
BACKGROUND: The application of Big Data analytics in healthcare has immense potential for improving the quality of care, reducing was …
Some methods for blindfolded record linkage.
Churches T and Christen P. BMC Med Inform Decis Mak 2004. PMID 15222890 Free PMC article.
BACKGROUND: The linkage of records which refer to the same entity in separate data collections is a common requirement in public health and biomedical research. Traditionally, record linkage techniques have required that all the identifying data in which links are sought be revealed to at least one party, often a third party. ...
BACKGROUND: The linkage of records which refer to the same entity in separate data collections is a common requirement
Estimating parameters for probabilistic linkage of privacy-preserved datasets
Brown AP, et al. BMC Med Res Methodol 2017. PMID 28693507 Free PMC article.
BACKGROUND: Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. ...METHODS: Our method was tested through a simulation study using synthetic data, followed by an application using real-world administrative data. ...
BACKGROUND: Probabilistic record linkage is a process used to bring together person-based records from within the same dataset …
Rochester Epidemiology Project Data Exploration Portal
St Sauver JL, et al. Prev Chronic Dis 2018. PMID 29654640 Free PMC article.
INTRODUCTION: The goal of this project was to develop an interactive, web-based tool to explore patterns of prevalence and co-occurrence of diseases using data from the expanded Rochester Epidemiology Project (E-REP) medical records-linkage system. ...CONCLUSION: The REP DEP draws upon a medical records-linkage system to provide an innovative, rapid, interactive, free-of-charge method to examine the prevalence and co-occurrence of 717 diseases and conditions in a geographically defined population....
INTRODUCTION: The goal of this project was to develop an interactive, web-based tool to explore patterns of prevalence and co-occurrence of …
Efficient Record Linkage Algorithms Using Complete Linkage Clustering.
Mamun AA, et al. PLoS One 2016. PMID 27124604 Free PMC article.
A large number of available algorithms for record linkage are prone to either time inefficiency or low-accuracy in finding matches and non-matches among the records. ...We have tested our algorithms on datasets with millions of synthetic records. Experimental results show that our algorithms achieve nearly 100% accuracy. ...
A large number of available algorithms for record linkage are prone to either time inefficiency or low-accuracy in finding matches an …
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