A Review on Machine Learning and Deep Learning Approaches for Predictive Healthcare Analytics

Abstract

This paper presents a comprehensive review on the applications of machine learning and deep learning models for various healthcare applications. As the healthcare sector increasingly shifts toward digital records and data-driven decision-making, the need for advanced computational techniques to analyze and interpret complex medical data has grown. Machine learning and deep learning have demonstrated their ability to extract meaningful insights from vast and diverse datasets, ranging from clinical records to medical imaging. This essay explores the rise of machine learning and deep learning in medical data analysis, discussing their applications, benefits, and challenges in the healthcare industry. The paper presents the need for AI and ML based models along with their increasing market cap, along with the fundamental models employed. It is expected that this paper paves the path for significant future research in the domain.