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

• 主要な著者: Romana Haneef (著者), Marie Delnord (著者), Michel Vernay (著者), Emmanuelle Bauchet (著者), Rita Gaidelyte (著者), Herman Van Oyen (著者), Zeynep Or (著者), Beatriz Pérez-Gómez (著者), Luigi Palmieri (著者), Peter Achterberg (著者), Mariken Tijhuis (著者), Metka Zaletel (著者), Stefan Mathis-Edenhofer (著者), Ondřej Májek (著者), Håkon Haaheim (著者), Hanna Tolonen (著者), Anne Gallay (著者)
• フォーマット: 図書
• 出版事項: BMC, 2020-06-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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...