Open access
Aug 2026
Next-Generation intelligent frameworks for accurate and interpretable liver disease detection
The main objective of this study is to develop an interpretable soft-computing model that can classify patients as having liver disease or not and the results demonstrate that the proposed approach is highly accurate and suitable for real-world liver disease detection.
Pranabes Gangopadhyay, Tirtharaj Sen, Bidesh Chakraborty et al.
· Discover Applied Sciences · 0 citations