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Demonstrating an approach for evaluating synthetic geospati..:

Thomas, Jason A ; Foraker, Randi E ; Zamstein, Noa...
Journal of the American Medical Informatics Association. 29 (2022) 8 - p. 1350-1365 , 2022

Link: https://doi.org/10.1093/jamia/ocac045

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)</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jamia_ocac045&Exemplar=1&LAN=DE
				
A1 Thomas, Jason A
A1 Foraker, Randi E
A1 Zamstein, Noa
A1 Morrow, Jon D
A1 Payne, Philip R O
A1 Wilcox, Adam B
A1 Haendel, Melissa A
A1 Chute, Christopher G
A1 Gersing, Kenneth R
A1 Walden, Anita
A1 Haendel, Melissa A
A1 Bennett, Tellen D
A1 Chute, Christopher G
A1 Eichmann, David A
A1 Guinney, Justin
A1 Kibbe, Warren A
A1 Liu, Hongfang
A1 Payne, Philip R O
A1 Pfaff, Emily R
A1 Robinson, Peter N
A1 Saltz, Joel H
A1 Spratt, Heidi
A1 Starren, Justin
A1 Suver, Christine
A1 Wilcox, Adam B
A1 Williams, Andrew E
A1 Wu, Chunlei
A1 Chute, Christopher G
A1 Pfaff, Emily R
A1 Gabriel, Davera
PB Oxford University Press (OUP)
YR 2022
SN 1527-974X
JF Journal of the American Medical Informatics Association
VO 29
IS 8
SP 1350
OP 1365
LK http://dx.doi.org/https://doi.org/10.1093/jamia/ocac045
DO https://doi.org/10.1093/jamia/ocac045
SF ELIB - SuUB Bremen

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