@article{journals/jamia/BruzeliusLKDDBD19,
  added-at = {2020-05-30T00:00:00.000+0200},
  author = {Bruzelius, Emilie and Le, Matthew and Kenny, Avi and Downey, Jordan and Danieletto, Matteo and Baum, Aaron and Doupe, Patrick and Silva, Bruno and Landrigan, Philip J. and Singh, Prabhjot},
  biburl = {https://www.bibsonomy.org/bibtex/23c92d87af8b634a8e38254fae90bb963/dblp},
  ee = {https://www.wikidata.org/entity/Q92614504},
  interhash = {d5aab82d1a545a5e73e9357e9672006c},
  intrahash = {3c92d87af8b634a8e38254fae90bb963},
  journal = {J. Am. Medical Informatics Assoc.},
  keywords = {dblp},
  number = {8-9},
  pages = {806-812},
  timestamp = {2020-06-02T11:50:13.000+0200},
  title = {Satellite images and machine learning can identify remote communities to facilitate access to health services.},
  url = {http://dblp.uni-trier.de/db/journals/jamia/jamia26.html#BruzeliusLKDDBD19},
  volume = 26,
  year = 2019
}

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