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: 9 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: DCS | Study: GoDARTS

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Cao, Han; Zhang, Youcheng; Baumbach, Jan; Burton, Paul R; Dwyer, Dominic; Koutsouleris, Nikolaos; Matschinske, Julian; Marcon, Yannick; Rajan, Sivanesan; Rieg, Thilo; Ryser-Welch, Patricia; Späth, Julian; Herrmann, Carl; Schwarz, Emanuel
Bioinformatics, Volume 38, Issue 21 (2022)
PMID: 36073911 DOI: 10.1093/bioinformatics/btac616 
Citations: 9 (Scopus)
Tags: Study: GSE21138  | Study: GSE35977 | Study: GSE53987 | Study: phs000979.v3.p2 | Type: data systems | Type: proof of concept | Type: software engineering

KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.
Gruendner, Julian; Schwachhofer, Thorsten; Sippl, Phillip; Wolf, Nicolas; Erpenbeck, Marcel; Gulden, Christian; Kapsner, Lorenz A; Zierk, Jakob; Mate, Sebastian; Stürzl, Michael; Croner, Roland; Prokosch, Hans-Ulrich; Toddenroth, Dennis
PLoS One, Volume 14, Issue 10 (2019)
PMID: 31581246 DOI: 10.1371/journal.pone.0223010 
Citations: 43 (Scopus)
Tags: Consortia: MIRACUM | Study: Erlangen University Hospital | Type: data systems | Type: software engineering