Automated detection of altered mental status in emergency department clinical notes: a deep learning approach
Abstract Background Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification of altered mental status (AMS) in emergency...
Main Authors: | Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr, Lewis J. Frey |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-08-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-019-0894-9 |
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