Machine Learning Techniques for Predicting Drug-Related Side Effects: A Scoping Review
Esmaeel Toni,
Haleh Ayatollahi,
Reza Abbaszadeh
et al.
Abstract:Background: Drug safety relies on advanced methods for timely and accurate prediction of side effects. To tackle this requirement, this scoping review examines machine-learning approaches for predicting drug-related side effects with a particular focus on chemical, biological, and phenotypical features. Methods: This was a scoping review in which a comprehensive search was conducted in various databases from 1 January 2013 to 31 December 2023. Results: The results showed the widespread use of Random Forest, k-… Show more
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