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[Reclink: an application for database linkage implementing the probabilistic record linkage method].

Authors: K R, Camargo; C M, Coeli;

[Reclink: an application for database linkage implementing the probabilistic record linkage method].

Abstract

This paper presents a system for database linkage based on the probabilistic record linkage technique, developed in the C++ language with the Borland C++ Builder version 3.0 programming environment. The system was tested in the linkage of data sources of different sizes, evaluated both in terms of processing time and sensitivity for identifying true record pairs. Significantly less time was spent in record processing when the program was used, as compared to manual processing, especially in situations where larger databases were used. Manual and automatic processes had equivalent sensitivities in situations where we used databases with fewer records. However, as the number of records grew we noticed a clear reduction in the sensitivity of the manual process, but not in the automatic one. Although in its initial stage of development, the system performed well in terms of both processing speed and sensitivity. Although overall performance of algorithms was satisfactory, we intend to evaluate other routines in the attempt to improve the system's performance.

Keywords

Databases as Topic, Medical Record Linkage, Sensitivity and Specificity, Algorithms, Software, Probability

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
186
Top 10%
Top 1%
Top 10%
gold