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Linkage of national clinical datasets without patient identifiers using probabilistic methods.

Detalles Bibliográficos
Autores principales: Blake, Helen, Sharples, Linda, Harron, Katie, van der Meulen, Jan, Walker, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645056/
http://dx.doi.org/10.23889/ijpds.v7i3.2067
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author Blake, Helen
Sharples, Linda
Harron, Katie
van der Meulen, Jan
Walker, Kate
author_facet Blake, Helen
Sharples, Linda
Harron, Katie
van der Meulen, Jan
Walker, Kate
author_sort Blake, Helen
collection PubMed
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spelling pubmed-96450562022-11-21 Linkage of national clinical datasets without patient identifiers using probabilistic methods. Blake, Helen Sharples, Linda Harron, Katie van der Meulen, Jan Walker, Kate Int J Popul Data Sci Article Swansea University 2022-08-25 /pmc/articles/PMC9645056/ http://dx.doi.org/10.23889/ijpds.v7i3.2067 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License.
spellingShingle Article
Blake, Helen
Sharples, Linda
Harron, Katie
van der Meulen, Jan
Walker, Kate
Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title_full Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title_fullStr Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title_full_unstemmed Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title_short Linkage of national clinical datasets without patient identifiers using probabilistic methods.
title_sort linkage of national clinical datasets without patient identifiers using probabilistic methods.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645056/
http://dx.doi.org/10.23889/ijpds.v7i3.2067
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