Machine Learning in E-Health and Digital Healthcare

Abstract

Machine learning is revolutionizing healthcare by offering innovative solutions to complex challenges. This chapter explores the practical strategies, ethical considerations, and real-world applications of machine learning in the healthcare domain. It delves into data collection and management, model development, integration with existing systems, and the importance of interdisciplinary collaboration. The chapter also discusses the ethical dimensions of healthcare AI, such as data privacy, bias mitigation, and regulatory compliance. Real-world case studies highlight the impact of machine learning on early disease detection, drug discovery, and precision medicine. The chapter concludes by examining future trends, including emerging technologies like quantum computing, nanomedicine, and the growing role of AI in drug discovery and genomic medicine. As machine learning continues to reshape healthcare, understanding these practical strategies and ethical considerations is essential for optimizing patient care and advancing the healthcare industry.