Federated Learning for Efficient Cardiac Disease Prediction based on Hyper Spectral Feature Selection using Deep Spectral Convolution Neural Network

This chapter provides experience in selecting appropriate techniques and pathways to work on HD forecast precision. Many technical solutions have been proposed to predict the evaluation or reduce the risk; most are based on accelerometers and gyroscopes. Its goal is to allow them to remain in their home environment and hospital rather than providing a medical service in the patient's home to improve the patients quality of life. Wireless sensor networks are offered during the data collection process to prevent complications. A hypertensive patients prognosis is crucial for the development of cardiovascular disease prevention is proposed. As a result, everyone's weight is determined by their high fitness risk. In this method, the spiders feel only three vibrations from other spiders like nearby spider with higher fitness, the spider that is better in the swarm and the female spider that is nearby and accessible only to male spiders.