KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gulden, Lorenz A. Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch (+2 others)
2019 PLoS ONE  
To take full advantage of decision support, machine learning, and patient-level prediction models, it is important that models are not only created, but also deployed in a clinical setting. The KETOS platform demonstrated in this work implements a tool for researchers allowing them to perform statistical analyses and deploy resulting models in a secure environment.
doi:10.1371/journal.pone.0223010 pmid:31581246 pmcid:PMC6776354 fatcat:edsluvqr7vbmlmse47fyxxkeue