The reproducibility crisis in the age of digital medicine

Author(s)
Stupple, Aaron; Singerman, David; Celi, Leo Anthony G.
Thumbnail
Downloads41746-019-0079-z.pdf (372.7Kb)
Publisher with Creative Commons License
Terms of use
Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
Metadata
Show full item record
Abstract
If anyone doubts the explosive growth of interest in digital medicine, consider a recent conference and workshop in Beijing, jointly organized by the People’s Liberation Army General Hospital and MIT Critical Data to showcase the opportunities and challenges of applying machine learning to the kind of data routinely collected during the provision of care.1 In person, 500 attendees heard a keynote and panels and participated in a health data hackathon. Online, however, the event was streamed to more than one million unique viewers. ©2020 [First paragraph]
Date issued
2019-01-29
URI
https://hdl.handle.net/1721.1/124903
Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Journal
npj Digital Medicine
Publisher
Springer Nature
Citation
Stupple, Aaron, David Singerman, and Leo Anthony Celi, "The reproducibility crisis in the age of digital medicine." npj Digital Medicine 2, 1 (Jan. 2019): no. 2 doi 10.1038/s41746-019-0079-z ©2019 Author(s)
Version: Final published version
ISSN
2398-6352
Collections