MIT COVID-19 Datathon: data without boundaries

Author:

Luo Eva MORCID,Newman Sarah,Amat Maelys,Charpignon Marie-LaureORCID,Duralde Erin R,Jain Shrey,Kaufman Aaron R,Korolev Igor,Lai Yuan,Lam Barbara D,Lipcsey Megan,Martinez Alfonso,Mechanic Oren J,Mlabasati Jack,McCoy Liam G,Nguyen Freddy T,Samuel Matthew,Yang Eric,Celi Leo Anthony

Publisher

BMJ

Subject

General Medicine

Reference8 articles.

1. COVID-19 exacerbating inequalities in the US

2. Gould E , Shierholz H . Not everybody can work from home: black and Hispanic workers are much less likely to be able to telework. Economic Policy Institute. Available: https://www.epi.org/blog/black-and-hispanic-workers-are-much-less-likely-to-be-able-to-work-from-home/ [Accessed 23 May 2020].

3. A “datathon” model to support cross-disciplinary collaboration

4. Making big data useful for health care: a summary of the inaugural MIT critical data conference;Badawi;JMIR Med Inform,2014

5. Big data and machine learning in critical care: Opportunities for collaborative research

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