Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes

We develop an algorithm for probabilistic linkage of de-identified research datasets at the patient level, when only diagnosis codes with discrepancies and no personal health identifiers such as name or date of birth are available. It relies on Bayesian modelling of binarized diagnosis codes, and pr...

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Detalles Bibliográficos
Autores principales: Hejblum, Boris P., Weber, Griffin M., Liao, Katherine P., Palmer, Nathan P., Churchill, Susanne, Shadick, Nancy A., Szolovits, Peter, Murphy, Shawn N., Kohane, Isaac S., Cai, Tianxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326114/
https://www.ncbi.nlm.nih.gov/pubmed/30620344
http://dx.doi.org/10.1038/sdata.2018.298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326114/
https://www.ncbi.nlm.nih.gov/pubmed/30620344
http://dx.doi.org/10.1038/sdata.2018.298

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