Advancements and Challenges of Machine Learning and Deep Learning in Medical Data Analysis: A Review of the Past Five Years and Future Directions

Abstract

This literature review explores machine learning (ML) and deep learning (DL) methods applied to medical datasets over the past five years. The paper discusses the advancements, challenges, and future directions in utilizing ML and DL techniques for medical data analysis. It synthesizes recent research findings, highlighting key methodologies, datasets, and outcomes.