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Satellite images and machine learning can identify remote c..:
Bruzelius, Emilie
;
Le, Matthew
;
Kenny, Avi
...
Journal of the American Medical Informatics Association. 26 (2019) 8-9 - p. 806-812 , 2019
Link:
https://doi.org/10.1093/jamia/ocz111
RT Journal T1 <Title>Satellite images and machine learning can identify remote communities to facilitate access to health services</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jamia_ocz111&Exemplar=1&LAN=DE A1 Bruzelius, Emilie A1 Le, Matthew A1 Kenny, Avi A1 Downey, Jordan A1 Danieletto, Matteo A1 Baum, Aaron A1 Doupe, Patrick A1 Silva, Bruno A1 Landrigan, Philip J A1 Singh, Prabhjot PB Oxford University Press (OUP) YR 2019 SN 1527-974X JF Journal of the American Medical Informatics Association VO 26 IS 8-9 SP 806 OP 812 LK http://dx.doi.org/https://doi.org/10.1093/jamia/ocz111 DO https://doi.org/10.1093/jamia/ocz111 SF ELIB - SuUB Bremen
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