A hybrid PSO-AVOA framework for patient-reported drug prioritization with enhanced exploration and exploitation
The specific method of weighted-sum aggregation was used in this study, the framework offered could be easily compatible with other forms of aggregation. Hybrid PSO-EAVOA demonstrates strong potential for broader application in fields such as pharmacovigilance, clinical decision support, and drug re-purposing. The dataset is publicly available on Kaggle Drugs Side Effects and Medical Condition and all source code for parameter settings and preprocessing scripts is publicly available at the GitHub repository https://github.com/suruthi-m/Hybrid_PSO_EAVOA.
Authors
- N. Ganesh
- Manickavasagam Suruthi
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-11-12
- DOI
- https://doi.org/10.3389/fdgth.2025.1708730
- Primary Topic
- Pharmacovigilance and Adverse Drug Reactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00