Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

The risk stratification of patients in the emergency department begins at triage. It is vital to stratify patients early based on their severity, since undertriage can lead to increased morbidity, mortality and costs. Our aim was to present a new approach to assist healthcare professionals at triage...

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Detalles Bibliográficos
Autores principales: Fernandes, Marta, Mendes, Rúben, Vieira, Susana M., Leite, Francisca, Palos, Carlos, Johnson, Alistair, Finkelstein, Stan, Horng, Steven, Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053743/
https://www.ncbi.nlm.nih.gov/pubmed/32126097
http://dx.doi.org/10.1371/journal.pone.0229331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053743/
https://www.ncbi.nlm.nih.gov/pubmed/32126097
http://dx.doi.org/10.1371/journal.pone.0229331

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