A Hybrid Metaheuristics for Prediction of Thyroid Disease

Anxhela Gjecka, Majlinda Fetaji

© 2025 Anxhela Gjecka, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).

Citation Information: SAR Journal. Volume 8, Issue 1, Pages 78-83, ISSN 2619-9955, https://doi.org/10.18421/SAR81-10, March 2025.

Received: 20 January 2025.
Revised:  10 March 2025.
Accepted: 17 March 2025.
Published: 27 March 2025.

Abstract:

In this study, a hybrid method between two metaheuristics, Practical Swarm Optimization, and Gray Wolf Optimization, was applied to evaluate thyroid disease based on the analysis results. An optimization function was built to build a subgroup from the next choice, which should maximize the predictive performance of a disease prediction model. The results achieved are impressive and open to other metaheuristic tests.

Keywords – optimization, PSOGWO, Metaheuristics, thyroid disease, future selection.

                   

                                                                      Full text PDF