Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

Abstract Background The availability of data generated from different sources is increasing with the possibility to link these data sources with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objec...

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Bibliographic Details
Main Authors: Romana Haneef, Marie Delnord, Michel Vernay, Emmanuelle Bauchet, Rita Gaidelyte, Herman Van Oyen, Zeynep Or, Beatriz Pérez-Gómez, Luigi Palmieri, Peter Achterberg, Mariken Tijhuis, Metka Zaletel, Stefan Mathis-Edenhofer, Ondřej Májek, Håkon Haaheim, Hanna Tolonen, Anne Gallay
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Archives of Public Health
Subjects:
Innovation
Linked data
Artificial intelligence
Machine learning technique
Health status monitoring
Public health surveillance
Online Access:http://link.springer.com/article/10.1186/s13690-020-00436-9

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http://link.springer.com/article/10.1186/s13690-020-00436-9

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