Liver Disease Prediction using GA features selection, Social Spider Optimization and CNN Classification
Year: 2025
Type: article
Abstract: Liver disease prediction is a critical task in healthcare, enabling early diagnosis and intervention to improve patient outcomes. In this study, we propose a novel approach integrating genetic algorithm (GA) feature selection, social spider optimization (SSO), and convolutional neural network (CNN) classification for accurate and efficient prediction of liver diseases.
Authors: Gopi Krishna T L, Mrs.P.Maneesha
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409500751