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Demonstrating an approach for evaluating synthetic geospati..:

Thomas, Jason A ; Foraker, Randi E ; Zamstein, Noa..
Now published in Journal of the American Medical Informatics Association doi:10.1093/jamia/ocac045. , 2022

Link: https://doi.org/10.1101/2021.07.06.21259051

RT Journal
T1 <Title>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) [preprint]</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivmassmm:oai:repository.escholarship.umassmed.edu:20.500.14038_50425&Exemplar=1&LAN=DE
				
A1 Thomas, Jason A
A1 Foraker, Randi E
A1 Zamstein, Noa
A1 Payne, Philip R.O
A1 Wilcox, Adam B
YR 2022
K1 Health Informatics
K1 COVID-19
K1 SARS-CoV-2
K1 community spread
K1 synthetic data
K1 epidemiology
K1 data utility
K1 data sharing
K1 electronic health records
K1 Bioinformatics
K1 Data Science
K1 Health Information Technology
K1 Statistics and Probability
K1 Translational Medical Research
K1 UMCCTS funding
JF Now published in Journal of the American Medical Informatics Association doi:10.1093/jamia/ocac045
LK http://dx.doi.org/https://doi.org/10.1101/2021.07.06.21259051
DO https://doi.org/10.1101/2021.07.06.21259051
SF ELIB - SuUB Bremen

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