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Original research
Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay
- Correspondence to Dr Scott Levin, Emergency Medicine, Johns Hopkins University, Baltimore, MD 21218, USA; slevin33{at}jhmi.edu
Citation
Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay
Publication history
- Received January 3, 2020
- Revised June 22, 2020
- Accepted August 28, 2020
- First published December 21, 2020.
Online issue publication
March 08, 2024
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- Previous version (19 April 2021).
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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.