Researchers M. M. Asha and G. Ramya present a hybrid model combining Predator Crow Search Optimization and Explainable AI to classify cardiac diseases. Using datasets like ACDC and imATFIB, the model enhances deep learning segmentation and feature selection, offering a refined diagnostic tool with measurable performance improvements.
Q&A
- What is Predator Crow Search Optimization?
- How does Explainable AI work in this model?
- Which datasets support the study?