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The Schizophrenia Classification System is a web-based decision support application developed to classify schizophrenia cases using the C4.5 Decision Tree algorithm optimized with Particle Swarm Optimization (PSO). The optimization process improves feature selection and model performance, resulting in more accurate and reliable classification outcomes.
Built with Python and Streamlit, the application is designed as an administrator-only system for managing classification data, model execution, and result analysis. The system utilizes Supabase as the backend database for centralized data storage and management.
Project Summary
Built with Python and Streamlit, the application is designed as an administrator-only system for managing classification data, model execution, and result analysis. The system utilizes Supabase as the backend database for centralized data storage and management.
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