Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).

Jason A ThomasRandi E ForakerNoa ZamsteinJon D MorrowPhilip Richard Orrin PayneAdam B Wilcoxnull null

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

In general, synthetic data were successfully used to analyze geospatial and temporal trends. Analyses using small sample sizes or populations were limited, in part due to purposeful data label suppression-an attribute disclosure countermeasure. Users should consider data fitness for use in these cases.

Keyphrases

sars cov
electronic health record
big data
coronavirus disease
quality improvement
body composition
respiratory syndrome coronavirus
artificial intelligence
deep learning