Keyword - Machine learning

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study.
Slieker, Roderick C; Münch, Magnus; Donnelly, Louise A; Bouland, Gerard A; Dragan, Iulian; Kuznetsov, Dmitry; Elders, Petra J M; Rutter, Guy A; Ibberson, Mark; Pearson, Ewan R; 't Hart, Leen M; van de Wiel, Mark A; Beulens, Joline W J
Diabetologia, Volume 67, Issue 5 (2024)
PMID: 38374450 DOI: 10.1007/s00125-024-06105-8 
Citations: 10 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: DCS | Study: GoDARTS

Federated difference-in-differences with multiple time periods in DataSHIELD.
Huth, Manuel; Garavito, Carolina Alvarez; Seep, Lea; Cirera, Laia; Saúte, Francisco; Sicuri, Elisa; Hasenauer, Jan
iScience, Volume 27, Issue 11 (2024)
PMID: 39498304 DOI: 10.1016/j.isci.2024.111025 
Citations: 1 (Scopus)