With increasing availability of large datasets derived from administrative and other sources,
there is an increasing demand for the successful linking of these to provide rich sources of …

Record linkage algorithms aim to identify pairs of records that correspond to the same
individual from two or more datasets. In general, fields that are common to both datasets are …

Abstract Background In Australia, many community service program data collections
developed over the last decade, including several for aged care programs, contain a …

Background Record linkage is the process of identifying and combining records about the
same individual from two or more different datasets. While there are many open source and …

Background: Record linkage techniques allow different data collections to be brought
together to provide a wider picture of the health status of individuals. Ensuring high linkage …

Background Record linkage techniques are widely used to enable health researchers to
gain event based longitudinal information for entire populations. The task of record linkage …

Introduction When unique identifiers are unavailable, successful record linkage depends
greatly on data quality and types of variables available. While probabilistic linkage …

Background Methods for linking real-world healthcare data often use a latent class model,
where the latent, or unknown, class is the true match status of candidate record-pairs. This …

Introduction Existing record linkage methods do not handle missing linking field values in an
efficient and effective manner. The objective of this study is to investigate three novel …

Abstract The field of Record Linkage is concerned with identifying records from one or more
datasets which refer to the same underlying entities. Where entity-unique identifiers are not …