An Ensemble Model for Detection of Adverse Drug Reactions
Ahmed A. Nafea,
Mustafa S. Ibrahim,
Abdulrahman A. Mukhlif
et al.
Abstract:The detection of adverse drug reactions (ADRs) plays a necessary role in comprehending the safety and benefit profiles of medicines. Although spontaneous reporting stays the standard approach for ADR documents, it suffers from significant under reporting rates and limitations in terms of treatment inspection. This study proposes an ensemble model that combines decision trees, support vector machines, random forests, and adaptive boosting (ADA-boost) to improve ADR detection. The experimental evaluation applied… Show more
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