New paper published

Soheib Kiani has published a new research paper titled “Graph-Theoretic Approach and Advanced Data Balancing for Liver Disease Diagnosis Improvement” at the 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE). The study presents a novel graph-based patient similarity modeling approach combined with advanced data balancing and ensemble learning, achieving state-of-the-art performance in liver disease diagnosis and demonstrating the effectiveness of leveraging relational patterns in medical data, further highlighting SBNA Lab’s contributions to applied AI in healthcare.