An optimized model for Liver disease classification based on BPSO Using Machine learning models

Authors

El-Sayed M. El-Kenawy, School of ICT, Faculty of Engineering, Design and Information & Communications Technology (EDICT), Bahrain Polytechnic, PO Box 33349, Isa Town, BahrainFollow
Nima Khodadadi, Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA.
Abdelhameed Ibrahim, School of ICT, Faculty of Engineering, Design and Information & Communications Technology (EDICT), Bahrain Polytechnic, PO Box 33349, Isa Town, Bahrain
Marwa M. Eid, Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 11152, Egypt.
Ahmed M. Osman, Department of Information Systems, Faculty of Computers and Information, Suez University, P.O.Box:43221, Suez, Egypt.
Ahmed M. Elshewey, Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.Box:43221, Suez, Egypt.

Document Type

Article

Keywords

Health risk prediction, Machine Learning, Liver Disease, BPSO

Abstract

Liver disease (LD) is a world health concern that requires accurate diagnostic methods. This study proposes an optimized machine learning model (ML) based on BPSO for LD classification using a shared public dataset from kaggle Indicates to liver patients from India. The paper used six ML models such as Random Forest (RF), Support Vector Machine (SVM), Dummy Classifier (DC), Extra Trees Classifier (ET), K-Nearest Neighbors (KNN), and Logistic Regression (LT) to evaluate the performance. Through observations we detected that ET achieved an accuracy of 79.82%. The BPSO hyperparameter optimization optimized ET to enhance accuracy to reach 85%. The paper used metrics such as accuracy, precision, recall, F1 score, and AUC. The results indicate that ML techniques with optimization have the potential to develop reliable diagnostic tools for LD.

How to Cite This Article

El-Kenawy, El-Sayed M.; Khodadadi, Nima; Ibrahim, Abdelhameed; Eid, Marwa M.; Osman, Ahmed M.; and Elshewey, Ahmed M. (2024) "An optimized model for Liver disease classification based on BPSO Using Machine learning models," Mesopotamian Journal of Computer Science: Vol. 4: Iss. 1, Article 16.
DOI: https://doi.org/10.58496/MJCSC/2024/017
Available at: https://map.researchcommons.org/mjcsc/vol4/iss1/16