Predictive Modeling Of Heart Disease Using Artificial Intelligence

Abstract

As cardiovascular diseases continue to be a leading cause of morbidity and mortality worldwide, the integration of artificial intelligence (AI) in predictive modelling emerges as a promising avenue for early detection and intervention. This research paper delves into the development and evaluation of AI-based predictive models for heart disease, leveraging diverse machine learning approaches. The study harnesses a comprehensive dataset encompassing clinical, lifestyle, and genetic factors to train and validate predictive algorithms. Through rigorous analysis, the paper aims to assess the accuracy, sensitivity, and specificity of AI models in identifying individuals at risk of heart disease.