Machine-learning-based adverse drug event prediction from observational health data: A review.

Denck, Jonas; Ozkirimli, Elif; Wang, Ken

Denck, Jonas; Ozkirimli, Elif; Wang, Ken.

Affiliation

Denck J; Roche Informatics, F. Hoffmann-La Roche AG, Kaiseraugst, Switzerland. Electronic address: jonas.denck@roche.com.
Ozkirimli E; Roche Informatics, F. Hoffmann-La Roche AG, Kaiseraugst, Switzerland.
Wang K; Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland.

Drug Discov Today ; 28(9): 103715, 2023 09.

Article in En | MEDLINE | ID: mdl-37467879

Subject(s)

Drug-Related Side Effects and Adverse Reactions; Humans; Machine Learning

Key words

adverse drug event; electronic health record; machine learning; prediction model

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug-Related Side Effects and Adverse Reactions Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Drug Discov Today Journal subject: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2023 Type: Article

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