ComEngApp : Computer Engineering and Applications Journal
Vol 12 No 1 (2023)

Optimization of Deep Neural Networks with Particle Swarm Optimization Algorithm for Liver Disease Classification

Muhammad Nejatullah Sidqi (Universitas Sriwijaya)
Dian Palupi Rini (Universitas Sriwijaya)
Samsuryadi Samsuryadi (Universitas Sriwijaya)



Article Info

Publish Date
01 Feb 2023

Abstract

Liver disease has affected more than one million new patients in the world. which is where the liver organ has an important role function for the body's metabolism in channeling several vital functions. Liver disease has symptoms including jaundice, abdominal pain, fatigue, nausea, vomiting, back pain, abdominal swelling, weight loss, enlarged spleen and gallbladder and has abnormalities that are very difficult to detect because the liver works as usual even though some liver functions have been damaged. Diagnosis of liver disease through Deep Neural Network classification, optimizing the weight value of neural networks with the Particle Swarm Optimization algorithm. The results of optimizing the PSO weight value get the best accuracy of 92.97% of the Hepatitis dataset, 79.21%, Hepatitis 91.89%, and Hepatocellular 92.97% which is greater than just using a Deep Neural Network.

Copyrights © 2023






Journal Info

Abbrev

comengapp

Publisher

Subject

Computer Science & IT Engineering

Description

ComEngApp-Journal (Collaboration between University of Sriwijaya, Kirklareli University and IAES) is an international forum for scientists and engineers involved in all aspects of computer engineering and technology to publish high quality and refereed papers. This Journal is an open access journal ...