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...
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.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing.
by: Marta Fernandes, et al.
Published: (2020-01-01) -
Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing.
by: Marta Fernandes, et al.
Published: (2020-01-01) -
Knowledge and practices of cardiopulmonary arrest and anaphylactic reactions in the radiology department
by: Sarah K. Osiemo, et al.
Published: (2020-05-01) -
Associates of Cardiopulmonary Arrest in the Perihemodialytic Period
by: Jennifer E. Flythe, et al.
Published: (2014-01-01) -
Cardiac arrest – cardiopulmonary resuscitation
by: Basri Lenjani, et al.
Published: (2014-01-01)