Prediction of Heart Attack Risk and Detection of Sleep Disorders Using Deep Learning Approach
Abstract This study presents a novel deep learning-based approach for predicting heart attack risk and detecting sleep disorders. Traditional models often fall short in accessibility and accuracy, leading to substandard outcomes. Our proposed ensemble-based AI model overcomes these limitations by leveraging the strengths of deep learning techniques, including neural networks, for robust analysis of sleep […]