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

BACKGROUND AND OBJECTIVE: 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 allow...

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Vydáno v:PLoS One
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2019
Témata:
Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6776354/
https://ncbi.nlm.nih.gov/pubmed/31581246
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0223010
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