Post-marketing surveillance of anticancer drugs using natural language processing of electronic medi...
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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This study demonstrates that adverse events (AEs) extracted using natural language processing (NLP) from clinical texts reflect the known frequencies of AEs associated with anticancer drugs. Using data from 44,502 cancer patients at a single hospital, we identified cases prescribed anticancer drugs (platinum, PLT; taxane, TAX; pyrimidine, PYA) and...
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Full title
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records
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TN_cdi_doaj_primary_oai_doaj_org_article_a2244c2038eb49f781e599fd4847c3bf
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2244c2038eb49f781e599fd4847c3bf
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ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-024-01323-1
