An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease

Key Points

• Detection of cirrhosis disease is enhanced using a rough set optimization approach—key for early intervention.
• The algorithm combines unique principles from cat swarm behavior with optimization techniques to improve accuracy.
• Observational analysis demonstrates the capability of the system to identify critical biomarkers in cirrhosis patients effectively.
• The findings highlight the potential for innovative algorithms in the realm of disease detection and diagnostics.