A fast privacy-preserving patient record linkage of time series data.
Ontology highlight
ABSTRACT: Recent advances in technology have led to an explosion of data in virtually all domains of our lives. Modern biomedical devices can acquire a large number of physical readings from patients. Often, these readings are stored in the form of time series data. Such time series data can form the basis for important research to advance healthcare and well being. Due to several considerations including data size, patient privacy, etc., the original, full data may not be available to secondary parties or researchers. Instead, suppose that a subset of the data is made available. A fast and reliable record linkage algorithm enables us to accurately match patient records in the original and subset databases while maintaining privacy. The problem of record linkage when the attributes include time seri
SUBMITTER: Soliman A
PROVIDER: S-EPMC9968283 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
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