Automated detection of altered mental status in emergency department clinical notes: a deep learning...
Automated detection of altered mental status in emergency department clinical notes: a deep learning approach
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Contents
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 department provider notes for the purpose of decision support, we com...
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Full title
Automated detection of altered mental status in emergency department clinical notes: a deep learning approach
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TN_cdi_doaj_primary_oai_doaj_org_article_90ffa9f36c4f42f7b028dfd9b74b8e77
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90ffa9f36c4f42f7b028dfd9b74b8e77
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-019-0894-9
