Nikhil Kumar GoyalMonika DandotiyaJameel Ahmad QurashiMonika KumariShikha Sharma
AI-driven predictive analytics with powers of artificial intelligence and highly advanced machine learning algorithms applied to the vast healthcare data sources that help in the early indication of health risks, watching for potential diseases, monitoring, and then following on with more innovative interventions-not reactive care, but proactively preventing diseases. The integration of predictive analytics into healthcare systems addresses universal challenges in the form of chronic disease and population aging, in addition to further increasing costs in healthcare, while improving efficiency and patient outcomes. This chapter discusses the principles, applications, challenges, and future opportunities of AI-driven predictive analytics in disease management, highlighting its critical role in building a more sustainable, equitable, and patient-centered healthcare ecosystem.
Anuradha SantraMohit LalitSiddharth KumarAbdullah AlqammazArun Kumar RanaJayant Giri