Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals is a research paper published in Journal of the American Medical Informatics Association (2022). On theSindex it has a DataRank of 0. It has been cited 35 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Patient-Centered Outcomes Research Institute
Grant: K12HS026379
National Center for Advancing Translational Sciences
Grant: KL2TR002492
National Center for Advancing Translational Sciences
Grant: UL1TR002494
MIDRC
Grant: 75N92020C00008
MIDRC
Grant: 75N92020C00021
National Science Foundation
Grant: #1928481
Agency for Healthcare Research and Quality
The University of Minnesota Office of the Vice President of Research
National Institute of Biomedical Imaging and Bioengineering
National Institutes of Health’s
Division of Electrical, Communication & Cyber Systems
MeSH Terms
Keywords