K. Deepthi

Enhancing Cardiovascular Risk Prediction with Explainable AI using Clinical Data

The results suggest that merging explainability approaches with powerful machine learning can considerably boost early identification and risk assessment and contributes to enhanced healthcare decision-making, offering a scalable, interpretable and dependable solution for cardiovascular disease prediction.