Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Metaheuristic Machine Learning Algorithms for Liver Disease Prediction Subject The topic of the resource Artificial Bee Colony (ABC) Algorithm; Decision Tree; Machine Learning; Random Forest Description An account of the resource In machine learning, optimizing solutions is critical for improving performance. This study explores the use of metaheuristic algorithms to enhance key processes such as hyperparameter tuning, feature selection, and model optimization. Specifically, we integrate the Artificial Bee Colony (ABC) algorithm with Random Forest and Decision Tree models to improve the accuracy and efficiency of disease prediction. Machine learning has the potential to uncover complex patterns in medical data, offering transformative capabilities in disease diagnosis. However, selecting the optimal algorithm for model optimization presents a significant challenge. In this work, we employ Random Forest, Decision Tree models, and the ABC algorithmbased on the foraging behaviours of honeybeesto predict liver disease using a dataset from Indian medical records. Our experiments demonstrate that the Random Forest model achieves an accuracy of 85.12%, the Decision Tree model 76.89%, and the ABC algorithm 80.45%. These findings underscore the promise of metaheuristic approaches in machine learning, with the ABC algorithm proving to be a valuable tool in improving predictive accuracy. In conclusion, the integration of machine learning models with metaheuristic techniques, such as the ABC algorithm, represents a significant advancement in disease prediction, driving progress in data-driven healthcare. 2024, Iquz Galaxy Publisher. All rights reserved. Creator An entity primarily responsible for making the resource Gupta D.; Rani B.K.; Verma I.; Ahamed S.K.; Arul Mary Rexy V.; Rajkumar N.; Vidhya R.G. Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope, Vol-5, No. 4, pp. 651-660. Publisher An entity responsible for making the resource available Iquz Galaxy Publisher Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2024.v05i04.01204" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2024.v05i04.01204</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210428409&amp;doi=10.47857%2Firjms.2024.v05i04.01204&amp;partnerID=40&amp;md5=53670bbcbb66dabffd66c89963fed8fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210428409&amp;doi=10.47857%2firjms.2024.v05i04.01204&amp;partnerID=40&amp;md5=53670bbcbb66dabffd66c89963fed8fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2582631X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta D., Department of CSE, Manipal Institute of Technology Bengaluru, Bengaluru, India; Rani B.K., Department of Information Technology, Vasavi College of Engineering, Hyderabad, India; Verma I., School of Sciences, Christ (deemed to be) University, Delhi-NCR, Ghaziabad, India; Ahamed S.K., Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India; Arul Mary Rexy V., Department of Commerce General, Saveetha College of Liberal Arts and Sciences, Chennai, India; Rajkumar N., Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology, Avadi, Tamil Nadu, India; Vidhya R.G., Department of ECE, HKBK College of Engineering, Bangalore, India