Introduction Systematic approaches to dealing with missing values in record linkage are still
lacking. This article compares the ad-hoc treatment of unknown comparison values as …

INTRODUCTION: Supervised record linkage methods often require a clerical review to gain
informative training data. Active learning means to actively prompt the user to label data with …

Record linkage or deduplication deals with the detection and deletion of duplicates in and
across files. For this task, this paper introduces and evaluates two new machine-learning …

Abstract ESystems based on EHRs (Electronic health records) have been in use for many
years and their amplified realizations have been felt recently. They still have been …

Using electronic health records (EHR) as the source of data for mining and analysis of
different health conditions has become an increasingly common approach. However, due to …

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 …

Background and objective Integrating data from multiple sources is a crucial and
challenging problem. Even though there exist numerous algorithms for record linkage or …

This chapter explores data imputation, an important approach to resolving the pervasive
problem of missing data in the medical field. The authors define data imputation precisely …

Objectives: There have been many developments and applications of mathematical
methods in the context of record linkage as one area of interdisciplinary research efforts …

Probabilistic record linkage techniques assign match weights to one or more potential
matches for those individual records that cannot be assigned 'unequivocal matches' across …