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Adverse drug event detection using natural language processing: A scoping review of supervised learn...

Adverse drug event detection using natural language processing: A scoping review of supervised learn...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2760534318

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

About this item

Full title

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-01, Vol.18 (1), p.e0279842

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results for the purpose of ADE detection in the context of pharmacovigilance. However, a detailed qualitativ...

Alternative Titles

Full title

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2760534318

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2760534318

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0279842

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