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

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

Abstract 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 fre...

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Autores principales: Eyal Klang, Benjamin R. Kummer, Neha S. Dangayach, Amy Zhong, M. Arash Kia, Prem Timsina, Ian Cossentino, Anthony B. Costa, Matthew A. Levin, Eric K. Oermann
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/bd3eaf6342be421885a39e0d850a360c
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