Datathons and Software to Promote Reproducible Research

Background: Datathons facilitate collaboration between clinicians, statisticians, and data scientists in order to answer important clinical questions. Previous datathons have resulted in numerous publications of interest to the critical care community and serve as a viable model for interdisciplinar...

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Bibliographic Details
Main Authors: Celi, Leo Anthony G. (Contributor), Lokhandwala, Sharukh (Contributor), Montgomery, Robert (Contributor), Moses, Christopher A (Contributor), Pollard, Tom Joseph (Contributor), Stretch, Robert (Contributor), Spitz, Daniel (Contributor), Naumann, Tristan Josef (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), MIT Critical Data (Laboratory) (Contributor), Naumann, Tristan (Contributor)
Format: Article
Language:English
Published: Gunther Eysenbach, JMIR, 2017-04-07T20:00:04Z.
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