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Natural language processing and machine learning algorithm to identify brain MRI reports with acute...

Natural language processing and machine learning algorithm to identify brain MRI reports with acute...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_516e4159ebfa4265a5e59c57702667f0

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

About this item

Full title

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

Publisher

United States: Public Library of Science

Journal title

PloS one, 2019-02, Vol.14 (2), p.e0212778-e0212778

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

This project assessed performance of natural language processing (NLP) and machine learning (ML) algorithms for classification of brain MRI radiology reports into acute ischemic stroke (AIS) and non-AIS phenotypes.
All brain MRI reports from a single academic institution over a two year period were randomly divided into 2 groups for ML: training...

Alternative Titles

Full title

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_516e4159ebfa4265a5e59c57702667f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_516e4159ebfa4265a5e59c57702667f0

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0212778

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