Results 311 to 320 of about 4,068,529 (349)
Some of the next articles are maybe not open access.

Efficient Pattern Mining Based Cryptanalysis for Privacy-Preserving Record Linkage

IEEE International Conference on Data Engineering, 2019
Privacy-preserving record linkage (PPRL) is the process of identifying records that correspond to the same entities across several databases without revealing any sensitive information about these entities. One popular PPRL technique is Bloom filter (BF)
Anushka Vidanage   +3 more
semanticscholar   +1 more source

Reader response: Association between diabetes and subsequent Parkinson disease: A record-linkage cohort study

Neurology, 2019
The article by De Pablo-Fernandez et al.1 reported that type 2 diabetes mellitus (DM) was associated with increased hazard of Parkinson disease (PD) (hazard ratio 1.32, 95% confidence interval 1.29–1.35). The authors proposed that DM and PD might share a
S. Lai
semanticscholar   +1 more source

An Operational Approach to Record Linkage

Methods of Information in Medicine, 1983
An operational approach to computerized record linkage has been developed based on the concept of probability of chance match in two groups of records brought together for comparison. Tolerance levels can be readily derived from these records for decision-making in accepting or rejecting a linked pair. This approach is especially suitable for iteration
J T Kagawa, M P Mi, M E Earle
openaire   +3 more sources

Privacy-Preserving Record Linkage Using Bloom Filter

Social Science Research Network, 2022
S. I. Khan   +2 more
semanticscholar   +1 more source

Coding and Record Linkage

1996
One of the greatest joys of modern database systems is that they make straightforward what was once complicated. Before the database revolution, the manipulation of large historical datasets generally required the writing of customised computer programs.
Charles Harvey, Jon Press
openaire   +2 more sources

GWSM and Record Linkage [PDF]

open access: possible, 2007
Data from different sources are increasingly being combined to augment the amount of information that we have. Often, the databases are combined using record linkage. When the files involved have a unique identifier that can be used, the linkage is done directly using the identifier as a matching key. When there is no unique identifier, a probabilistic
openaire   +1 more source

Summarization Algorithms for Record Linkage

International Conference on Extending Database Technology, 2018
Record linkage has received significant attention in recent years due to the plethora of data sources that have to be integrated to facilitate data analyses. In several cases, such an integration involves disparate data sources containing huge volumes of
Dimitrios Karapiperis   +2 more
semanticscholar   +1 more source

Matching and record linkage

WIREs Computational Statistics, 2014
This overview gives background on a number of statistical methods that have been proven effective for record linkage. To prepare data for the main computational algorithms, we need parsing/standardization that allows us to structure the free‐form names, addresses, and other fields into corresponding components. The main parameter‐estimation methods are
openaire   +2 more sources

An Experience in Psychiatric Record Linkage

The Canadian Journal of Psychiatry, 1988
This paper describes a personal experience in setting up a psychiatric record linkage system in an Eastern Ontario city. It discusses the rationale, background and methodology of the Kingston Psychiatric Record Linkage System and includes a detailed description of the practical issues encountered in its establishment and operation.
openaire   +3 more sources

Generalized Bayesian Record Linkage and Regression with Exact Error Propagation

Privacy in Statistical Databases, 2018
Record linkage (de-duplication or entity resolution) is the process of merging noisy databases to remove duplicate entities. While record linkage removes duplicate entities from such databases, the downstream task is any inferential, predictive, or post ...
R. Steorts, A. Tancredi, B. Liseo
semanticscholar   +1 more source

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