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Creating longitudinal datasets and cleaning existing data identifiers in a cystic fibrosis registry using a novel Bayesian probabilistic approach from astronomy

Patient registry data are commonly collected as annual snapshots that need to be amalgamated to understand the longitudinal progress of each patient. However, patient identifiers can either change or may not be available for legal reasons when longitudinal data are collated from patients living in d...

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Detalles Bibliográficos
Autores principales: Hurley, Peter Donald, Oliver, Seb, Mehta, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037350/
https://www.ncbi.nlm.nih.gov/pubmed/29985939
http://dx.doi.org/10.1371/journal.pone.0199815