Finney, JM;
Walker, AS;
Peto, TE;
Wyllie, DH;
(2011)
An efficient record linkage scheme using graphical analysis for identifier error detection.
BMC Medical Informatics and Decision Making
, 11
, Article 7. 10.1186/1472-6947-11-7.
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Abstract
Integration of information on individuals (record linkage) is a key problem in healthcare delivery, epidemiology, and "business intelligence" applications. It is now common to be required to link very large numbers of records, often containing various combinations of theoretically unique identifiers, such as NHS numbers, which are both incomplete and error-prone.
| Type: | Article |
|---|---|
| Title: | An efficient record linkage scheme using graphical analysis for identifier error detection |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1186/1472-6947-11-7 |
| Publisher version: | http://dx.doi.org/10.1186/1472-6947-11-7 |
| Language: | English |
| Additional information: | PMCID: PMC3039555 © 2011 Finney et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Algorithms, Cluster Analysis, Electronic Health Records, Fuzzy Logic, Great Britain, Humans, Logistic Models, Medical Record Linkage, Multivariate Analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1417063 |
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