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Enhancing Heart Disease Diagnosis Through Particle Swarm Optimization and Ensemble Deep Learning Models

This research combines Particle Swarm Optimization (PSO) with hybrid deep learning models to classify heart disease images and patient sequences. Using Convolutional Neural Networks (CNNs) such as VGG 16, VGG 19, and ResNet 50, along with Recurrent Neural Networks (RNNs), PSO optimizes hyperparameters to enhance diagnostic accuracy.