Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.
Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:
Jan 1, 2024
Abstract
BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to evaluate these huge features into account. So, there is a need of appropriate feature selection for the given CHD dataset. For early CHD detection, deep learning modes (DL) show promising results in the existing studies.