Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
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Abstract
Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting ADR.
Received 20/10/2022,
Revised 3/2/2023,
Accepted 5/2/2023,
Published Online First 20/5/2023
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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References
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