Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing

Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Emergency department triage is the first point in time when a pa...

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Main Authors: Fernandes, Marta (Author), Mendes, Rúben (Author), Vieira, Susana M. (Author), Leite, Francisca (Author), Palos, Carlos (Author), Johnson, Alistair Edward William (Author), Finkelstein, Stan Neil (Author), Horng, Steven (Author), Celi, Leo Anthony (Author)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor)
Format: Article
Language:English
Published: Public Library of Science (PLoS), 2020-05-21T15:37:13Z.
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