Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record published
  2. Accepted Manuscript updated
  3. Accepted Manuscript published
  4. Accepted
  5. Received

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Tyler Wagner
  2. FNU Shweta
  3. Karthik Murugadoss
  4. Samir Awasthi
  5. AJ Venkatakrishnan
  6. Sairam Bade
  7. Arjun Puranik
  8. Martin Kang
  9. Brian W Pickering
  10. John C O'Horo
  11. Philippe R Bauer
  12. Raymund R Razonable
  13. Paschalis Vergidis
  14. Zelalem Temesgen
  15. Stacey Rizza
  16. Maryam Mahmood
  17. Walter R Wilson
  18. Douglas Challener
  19. Praveen Anand
  20. Matt Liebers
  21. Zainab Doctor
  22. Eli Silvert
  23. Hugo Solomon
  24. Akash Anand
  25. Rakesh Barve
  26. Gregory Gores
  27. Amy W Williams
  28. William G Morice
  29. John Halamka
  30. Andrew Badley, MD
  31. Venky Soundararajan
(2020)
Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis
eLife 9:e58227.
https://doi.org/10.7554/eLife.58227

Share this article

https://doi.org/10.7554/eLife.58227