Machine Learning Advancements in E-Health

Abstract

A technologically evolved environment confronts the healthcare business. However, machine learning (ML) technology could revolutionize patient care, diagnosis, and decision-making. This chapter examines machine learning advances that can be applied to e-health. It also discusses machine learning algorithms in predictive analytics, personalized medicine, and early disease diagnosis. The chapter also emphasizes how ML, medical robotics, and AI-assisted diagnostics may improve healthcare delivery. Machine learning advancements in electronic health (e-health) are studied through case studies and real-world applications to determine their practical applications. This chapter also tackles ethical issues and challenges in healthcare ML integration. Readers will understand how machine learning is changing e-health to provide more effective, individualized, and precise healthcare solutions. This exploration contributes to the conversation on incorporating advanced technology into healthcare, paving the way for digital healthcare's technological future.