A Systematic Approach of Machine Learning for Healthcare: A Review

Abstract

This review paper systematically examines the application of machine learning (ML) in the healthcare domain, aiming to provide a comprehensive overview of the current state, challenges, and future prospects. As the healthcare industry undergoes a transformative shift towards data-driven decision-making, ML techniques have emerged as powerful tools for extracting valuable insights from complex medical datasets.

The review adopts a systematic approach, categorizing the diverse applications of ML in healthcare into key themes.