Adverse drug reaction prediction using voting ensemble training approach

Adverse drug reaction prediction using voting ensemble training approach

Identifying and controlling adverse drug reactions (ADRs) is a challenging problem in the pharmacological field. For instance, the drug Rosiglitazone has been associated with adverse reactions that were only recognized after its release. Due to such experiences, pharmacists are now more interested i...

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Bibliographic Details
Main Authors: Milad Besharatifard, Zahra Ghorbanali, Fatemeh Zare Mirakabad
Format: Article
Language:English
Published: Amirkabir University of Technology 2024-01-01
Series:AUT Journal of Mathematics and Computing
Subjects:
adverse drug reaction
machine learning
random forest
rare adverse reactions
unbalanced dataset
Online Access:https://ajmc.aut.ac.ir/article_5122_9352bca128b578cfaf2b94905fc960d1.pdf

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