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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Bibliographic Details
Main Authors: Fernandes, Marta, Mendes, Rúben, Vieira, Susana M., Leite, Francisca, Palos, Carlos, Johnson, Alistair Edward William, Finkelstein, Stan Neil, Horng, Steven, Celi, Leo Anthony
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020
Online Access:https://hdl.handle.net/1721.1/125378

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