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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Vydáno v:Sci Rep
Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
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On-line přístup: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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