Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach

Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine learning model using both tabular and free text da...

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Detalles Bibliográficos
Autores principales: Klang, Eyal, Kummer, Benjamin R., Dangayach, Neha S., Zhong, Amy, Kia, M. Arash, Timsina, Prem, Cossentino, Ian, Costa, Anthony B., Levin, Matthew A., Oermann, Eric K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809037/
https://www.ncbi.nlm.nih.gov/pubmed/33446890
http://dx.doi.org/10.1038/s41598-021-80985-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809037/
https://www.ncbi.nlm.nih.gov/pubmed/33446890
http://dx.doi.org/10.1038/s41598-021-80985-3

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