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Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.

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Title: Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.
Authors: Golder S; Department of Health Sciences, University of York, York, YO10 5DD, UK. su.golder@york.ac.uk., Xu D; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., O'Connor K; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Wang Y; William Allen White School of Journalism and Mass Communications, The University of Kansas, Lawrence, KS, USA., Batra M; Department of Health Sciences, University of York, York, YO10 5DD, UK., Hernandez GG; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Source: Drug safety [Drug Saf] 2025 Apr; Vol. 48 (4), pp. 321-337. Date of Electronic Publication: 2025 Jan 09.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 9002928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-1942 (Electronic) Linking ISSN: 01145916 NLM ISO Abbreviation: Drug Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
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