Work

Privacy-preserving federated analysis and harmonisation of heterogeneous datasets in NFDI4Health

Year: 2025

Type: conference-paper

Abstract: Introduction: In Germany, cohort studies produce phenotypically rich but heterogeneous datasets that capture various aspects of the population's health and lifestyle. Combining and jointly analysing these datasets may enable large scientific opportunities by enhancement of statistical power, broadening [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds042

Authors: Siampani, Sofia Maria, Schwarz, Florian, Jannasch, Franziska, Osei, Tracy Bonsu, Perrar, Ines, Schulze, Matthias B., Nöthlings, Ute, Nimptsch, Katharina, Pischon, Tobias

Institutions: Max Delbrück Center, German Institute of Human Nutrition, University of Bonn, University of Potsdam, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charité - Universitätsmedizin Berlin

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Award: NFDI4Health – Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten

OpenAlex ID: W7103888619

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