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Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses...

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b07e2770cde4945b22e21b0472cc5d8

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

About this item

Full title

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

Publisher

Canada: JMIR Publications

Journal title

JMIR medical informatics, 2023-02, Vol.11, p.e40964-e40964

Language

English

Formats

Publication information

Publisher

Canada: JMIR Publications

More information

Scope and Contents

Contents

Management of abdominal aortic aneurysms (AAAs) requires serial imaging surveillance to evaluate the aneurysm dimension. Natural language processing (NLP) has been previously developed to retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP to identify patients with AA...

Alternative Titles

Full title

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0b07e2770cde4945b22e21b0472cc5d8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b07e2770cde4945b22e21b0472cc5d8

Other Identifiers

ISSN

2291-9694

E-ISSN

2291-9694

DOI

10.2196/40964

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