Shareable artificial intelligence to extract cancer outcomes from electronic health records for prec...
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
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Full title
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Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Databases that link molecular data to clinical outcomes can inform precision cancer research into novel prognostic and predictive biomarkers. However, outside of clinical trials, cancer outcomes are typically recorded only in text form within electronic health records (EHRs). Artificial intelligence (AI) models have been trained to extract outcomes...
Alternative Titles
Full title
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
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TN_cdi_doaj_primary_oai_doaj_org_article_6107964b4327495d80db2d6d1ff21339
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6107964b4327495d80db2d6d1ff21339
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-54071-x
