BOOK-CHAPTER

AI-Driven Predictive Analytics for Disease Management

Nikhil Kumar GoyalMonika DandotiyaJameel Ahmad QurashiMonika KumariShikha Sharma

Year: 2025 Advances in medical technologies and clinical practice book series Pages: 231-276   Publisher: IGI Global

Abstract

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.

Keywords:
Predictive analytics Analytics Data science Computer science

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1
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FWCI (Field Weighted Citation Impact)
14
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0.97
Citation Normalized Percentile
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Citation History

Topics

Artificial Intelligence in Healthcare
Health Sciences →  Health Professions →  Health Information Management

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