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01-05-2022 | Clinical study

Machine learning-based model predicts causal association of ADRs

Published in: Reactions Weekly | Issue 1/2022

Excerpt

A machine learning-based model can predict the likelihood of a causal association of an observed adverse drug reaction (ADR) reported in an individual case safety report (ICSR), say authors of a Johnson & Johnson-funded study published in Drug Safety. …

Cherkas Y, et al. Leveraging Machine Learning to Facilitate Individual Case Causality Assessment of Adverse Drug Reactions Drug Safety : 24 May 2022. Available from: URL: https://doi.org/10.1007/s40264-022-01163-6

Title: Machine learning-based model predicts causal association of ADRs
Publication date: 01-05-2022
Publisher: Springer International Publishing
Published in: Reactions Weekly / Issue 1/2022
Print ISSN: 0114-9954
Electronic ISSN: 1179-2051
DOI: https://doi.org/10.1007/s40278-022-15738-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Machine learning-based model predicts causal association of ADRs

Excerpt

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Excerpt

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