Record Linkage

Dunn, Halbert L.

doi:10.2105/ajph.36.12.1412

Cited by 177 publications

(86 citation statements)

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“…Thus one chain points to all of the known events in the life of a single person, much like Dunn' s Book of Life. 2 The chain itself does not contain any clinical information.…”

Section: Present Scope Of the Western Australian Data Linkage Systemmentioning

confidence: 99%

“…In 1946, Dunn proposed the idea that each person creates a "Book of Life", starting with birth, ending in death and composed of the records of important health and social events. 2 Dunn developed the concept of collating the records into a personal file and named the process record linkage. He predicted that statistical analysis of linked records would be useful to health and welfare agencies in evaluating their service programs.…”

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confidence: 99%

“…He suggested also that linking files of data would establish the accuracy of the source records. 2 All of Dunn' s predictions have been proven to be correct in theory, albeit in practice comprehensive national systems of linked health and welfare data remain uncommon. Successful implementation demands high levels of community capital and inter-agency cooperation before the many diverse stakeholders will relinquish their immediate interests in favour of a more futuristic and public-spirited common vision.…”

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confidence: 99%

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A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

Holman

Bass²,

Rosman³

et al. 2008

Aust. Health Review

465

434

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Objectives: The report describes the strategic design, steps to full implementation and outcomes achieved by the Western Australian Data Linkage System (WADLS), instigated in 1995 to link up to 40 years of data from over 30 collections for an historical population of 3.7 million. Staged development has seen its expansion, initially from a linkage key to local health data sets, to encompass links to national and local health and welfare data sets, genealogical links and spatial references for mapping applications. Applications:The WADLS has supported over 400 studies with over 250 journal publications and 35 graduate research degrees. Applications have occurred in health services utilisation and outcomes, aetiologic research, disease surveillance and needs analysis, and in methodologic research. Benefits:Longitudinal studies have become cheaper and more complete; deletion of duplicate records and correction of data artifacts have enhanced the quality of information assets; data linkage has conserved patient privacy; community machinery necessary for organised responses to health and social problems has been exercised; and the commercial return on research infrastructure investment has exceeded 1000%. Most importantly, there have been unbiased contributions to medical knowledge and identifiable advances in population health arising from the research.

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“…Thus one chain points to all of the known events in the life of a single person, much like Dunn' s Book of Life. 2 The chain itself does not contain any clinical information.…”

Section: Present Scope Of the Western Australian Data Linkage Systemmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

Holman

Bass²,

Rosman³

et al. 2008

Aust. Health Review

465

434

View full text Add to dashboard Cite

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“…This term was initially introduced in the public health area in [1], when files of individual patients were brought together using name, date-of-birth, and some other information. In the following years, this idea was deeply developed in [2,3,4], and nowadays it is a popular technique.…”

Section: Related Workmentioning

confidence: 99%

Supervised learning using a symmetric bilinear form for record linkage

2015

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Record Linkage is used to link records of two different files corresponding to the same individuals. These algorithms are used for database integration. In data privacy, these algorithms are used to evaluate the disclosure risk of a protected data set by linking records that belong to the same individual. The degree of success when linking the original (unprotected data) with the protected data gives an estimation of the disclosure risk.In this paper we propose a new parameterized aggregation operator and a supervised learning method for disclosure risk assessment. The parameterized operator is a symmetric bilinear form and the supervised learning method is formalized as an optimization problem. The target of the optimization problem is to find the values of the aggregation parameters that maximize the number of re-identification (or correct links). We evaluate and compare our proposal with other non-parametrized variations of record linkage, such as those using the Mahalanobis distance and the Euclidean distance (one of the most used approaches for this purpose). Additionally, we also compare it with other previously presented parameterized aggregation operators for record linkage such as the weighted mean and the Choquet integral. From these comparisons we show how the proposed aggregation operator is able to overcome or at least achieve similar results than the other * Corresponding authorEmail addresses: dabril@iiia.csic.es (Daniel Abril ), vtorra@his.se (Vicenç Torra), guillermo.navarro@uab.cat (Guillermo Navarro-Arribas) 1 parameterized operators. We also study which are the necessary optimization problem conditions to consider the described aggregation functions as metric functions.

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“…Record linkage (RL) [1] proposed by Halbert L. Dunn (1946) refers to the task of finding records that refer to the same entity across different data sources. These records contain identifier fields (e.g.…”

Section: Introductionmentioning

confidence: 99%

Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage

Zhou

Howroyd

Danicic

et al. 2015

Advanced Methodologies for Bayesian Networks

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Abstract. Probabilistic record linkage has been well investigated in recent years. The Fellegi-Sunter probabilistic record linkage and its enhanced version are commonly used methods, which calculate match and non-match weights for each pair of corresponding fields of record-pairs. Bayesian network classifiers -naive Bayes classifier and TAN have also been successfully used here. Very recently, an extended version of TAN (called ETAN) has been developed and proved superior in classification accuracy to conventional TAN. However, no previous work has applied ETAN in record linkage and investigated the benefits of using a naturally existing hierarchy feature level information. In this work, we extend the naive Bayes classifier with such information. Finally we apply all the methods to four datasets and estimate the F1 scores.

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Record Linkage

Cited by 177 publications

References 0 publications

A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

Supervised learning using a symmetric bilinear form for record linkage

Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage

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