Artificial Intelligence Framework For Heart Disease Classification From Audio Signals

This article discusses a novel approach for detecting heart disease using audio signals and a combination of machine learning and deep learning models. The proposed methodology includes data acquisition, data pre-processing, feature extraction, and model selection to optimize the detection technique. The study aims to improve the reliability of previous comparative analyses by maintaining consistency in experimental setup and data collection methods.