Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project
Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project
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Author / Creator
Roberto, Giuseppe , Leal, Ingrid , Sattar, Naveed , Loomis, A Katrina , Avillach, Paul , Egger, Peter , van Wijngaarden, Rients , Ansell, David , Reisberg, Sulev , Tammesoo, Mari-Liis , Alavere, Helene , Pasqua, Alessandro , Pedersen, Lars , Cunningham, James , Tramontan, Lara , Mayer, Miguel A , Herings, Ron , Coloma, Preciosa , Lapi, Francesco , Sturkenboom, Miriam , van der Lei, Johan , Schuemie, Martijn J , Rijnbeek, Peter and Gini, Rosa
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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More information
Scope and Contents
Contents
Due to the heterogeneity of existing European sources of observational healthcare data, data source-tailored choices are needed to execute multi-data source, multi-national epidemiological studies. This makes transparent documentation paramount. In this proof-of-concept study, a novel standard data derivation procedure was tested in a set of hetero...
Alternative Titles
Full title
Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project
Authors, Artists and Contributors
Author / Creator
Leal, Ingrid
Sattar, Naveed
Loomis, A Katrina
Avillach, Paul
Egger, Peter
van Wijngaarden, Rients
Ansell, David
Reisberg, Sulev
Tammesoo, Mari-Liis
Alavere, Helene
Pasqua, Alessandro
Pedersen, Lars
Cunningham, James
Tramontan, Lara
Mayer, Miguel A
Herings, Ron
Coloma, Preciosa
Lapi, Francesco
Sturkenboom, Miriam
van der Lei, Johan
Schuemie, Martijn J
Rijnbeek, Peter
Gini, Rosa
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1815712336
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1815712336
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0160648
