SExpSTO-ResNet: Serial Exponential Siberian Tiger Optimisation Algorithm-based ResNet50 for heart disease prediction

Key Points

• This research aims to enhance heart disease prediction using a novel algorithm based on ResNet50.
• Developed SExpSTO-ResNet algorithm for optimization
• Utilized ResNet50 architecture for predictive modeling
• Conducted evaluation on heart disease datasets
• Achieved improved accuracy in heart disease prediction compared to existing methods
• Demonstrated the effectiveness of the SExpSTO algorithm in enhancing ResNet50 performance

Abstract