Enhanced Cardiovascular Disease Prediction with a 1-D CNN Deep Learning Model

Abstract

This research work presents a new 1-D Convolutional Neural Network (CNN) model for predicting cardiac disease. The model utilizes the sophisticated features of deep learning to analyze complex medical data. The study emphasizes the urgent requirement for early identification of cardiovascular diseases and seeks to improve diagnosis accuracy with a novel predictive model. The research provides a thorough examination of the effectiveness of the proposed 1-D CNN by comparing it with conventional and modern machine learning techniques. This analysis sets new benchmarks in medical diagnostics.