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 GruendnerThorsten SchwachhoferPhillip SipplNicolas WolfMarcel ErpenbeckChristian GuldenLorenz A KapsnerJakob ZierkSebastian MateMichael StürzlRoland CronerHans-Ulrich ProkoschDennis Toddenroth

Published in: PloS one (2019)

The KETOS platform takes a novel approach to data analysis, training and deploying decision support models in a hospital or healthcare setting. It does so in a secure and privacy-preserving manner, combining the flexibility of Docker virtualization with the advantages of standardized vocabularies, a widely applied database schema (OMOP-CDM), and a standardized way to exchange medical data (FHIR).

Keyphrases

healthcare
data analysis
clinical decision support
electronic health record
machine learning
big data
high throughput
health information
virtual reality
adverse drug
mental health
artificial intelligence
primary care
deep learning
social media
affordable care act