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Open Access
Peer-reviewed
Research Article
Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project
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Giuseppe Roberto ,
* E-mail: giuseppe.roberto@ars.toscana.it
Affiliation Regional Agency for Healthcare Services of Tuscany, Epidemiology unit, Florence, Italy
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Ingrid Leal,
Affiliation Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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Naveed Sattar,
Affiliation British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
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A. Katrina Loomis,
Affiliation Pfizer Worldwide Research and Development, Groton, Connecticut, United States of America
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Paul Avillach,
Affiliations Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands, Department of Biomedical Informatics, Harvard Medical School & Children’s Hospital Informatics Program, Boston Children’s Hospital, Boston, Massachusetts, United States of America
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Peter Egger,
Affiliation GlaxoSmithKline, Worldwide Epidemiology GSK, Stockley Park West, Uxbridge, United Kingdom
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Rients van Wijngaarden,
Affiliation PHARMO Institute for Drug Outcomes Research, Utrecht, Netherlands
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David Ansell,
Affiliation The Health Improvement Network, Cegedim Strategic Data Medical Research Ltd, London, United Kingdom
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Sulev Reisberg,
Affiliation Quretec, Software Technology and Applications Competence Center, University of Tartu, Tartu, Estonia
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Mari-Liis Tammesoo,
Affiliations Estonian Genome Center, University of Tartu, Tartu, Estonia, Tartu University Hospital, Tartu, Estonia
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Helene Alavere,
Affiliations Estonian Genome Center, University of Tartu, Tartu, Estonia, Tartu University Hospital, Tartu, Estonia
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Alessandro Pasqua,
Affiliation Health Search, Italian College of General Practitioners and Primary Care, Firenze, Italy
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Lars Pedersen,
Affiliation Department of Clinical Epidemiology, Aarhus University Hosptial, Aarhus, Denmark
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James Cunningham,
Affiliation University of Manchester, Manchester, United Kingdom
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Lara Tramontan,
Affiliation Arsenàl.IT Consortium, Veneto's Research Centre for eHealth Innovation, Treviso, Italy
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Miguel A. Mayer,
Affiliation Hospital del Mar Medical Research Institute (IMIM) and Universitat Pompeu Fabra, Barcelona, Spain
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Ron Herings,
Affiliation PHARMO Institute for Drug Outcomes Research, Utrecht, Netherlands
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Preciosa Coloma,
Affiliation Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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Francesco Lapi,
Affiliation Regional Agency for Healthcare Services of Tuscany, Epidemiology unit, Florence, Italy
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Miriam Sturkenboom,
Affiliation Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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Johan van der Lei,
Affiliation Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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Martijn J. Schuemie,
Affiliations Janssen Research & Development, Epidemiology, Titusville, New Jersey, United States of America, Observational Health Data Sciences and Informatics, New York, New York, United States of America
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Peter Rijnbeek,
Affiliation Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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Rosa Gini
Affiliation Regional Agency for Healthcare Services of Tuscany, Epidemiology unit, Florence, Italy
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Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project
- Giuseppe Roberto,
- Ingrid Leal,
- Naveed Sattar,
- A. Katrina Loomis,
- Paul Avillach,
- Peter Egger,
- Rients van Wijngaarden,
- David Ansell,
- Sulev Reisberg,
- Mari-Liis Tammesoo
- Published: August 31, 2016
- https://doi.org/10.1371/journal.pone.0160648