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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Publicado en:Sci Rep
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: Artigo
Lenguaje:Inglês
Publicado: Nature Publishing Group UK 2021
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7809037/
https://ncbi.nlm.nih.gov/pubmed/33446890
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-80985-3
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