Machine Learning Applications in Healthcare Diagnosis and Disease Prediction

Abstract

Machine Learning (ML) has emerged as a transformative technology in healthcare by enabling accurate disease diagnosis, early risk prediction, personalized treatment, and clinical decision support. By analyzing large volumes of medical data, ML algorithms can identify hidden patterns that improve diagnostic accuracy and patient outcomes. This review paper discusses major applications of machine learning in healthcare, current challenges, and future research opportunities.