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.

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...

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Bibliographic Details
Main Authors: Giuseppe Roberto, Ingrid Leal, Naveed Sattar, A Katrina Loomis, Paul Avillach, Peter Egger, Rients van Wijngaarden, David Ansell, Sulev Reisberg, Mari-Liis Tammesoo, Helene Alavere, Alessandro Pasqua, Lars Pedersen, James Cunningham, Lara Tramontan, Miguel A Mayer, Ron Herings, Preciosa Coloma, Francesco Lapi, Miriam Sturkenboom, Johan van der Lei, Martijn J Schuemie, Peter Rijnbeek, Rosa Gini
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5006970?pdf=render

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http://europepmc.org/articles/PMC5006970?pdf=render

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