Attgru-hmsi: Enhancing Heart Disease Diagnosis Using Hybrid Deep Learning Approach

This article discusses the challenges of using traditional machine learning methods for heart disease diagnosis and proposes a hybrid deep learning model for large data analysis and visualization. The model utilizes Apache Hadoop, enhanced k-means clustering, recursive feature elimination, and a bio-inspired hybrid mutation-based swarm algorithm to improve accuracy and stability.