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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: Fernandes, Marta, Mendes, Rúben, Vieira, Susana M., Leite, Francisca, Palos, Carlos, Johnson, Alistair, Finkelstein, Stan, Horng, Steven, Celi, Leo Anthony
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2020
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7053743/
https://ncbi.nlm.nih.gov/pubmed/32126097
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0229331
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