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Elsevier Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology

Amazon

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Description

Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics by Elsevier provides a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This academic resource covers advanced mathematical modeling, artificial intelligence, and computational intelligence techniques essential for understanding and managing complex disease dynamics. The book addresses critical challenges in public health through topics including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, offering researchers, academics, and healthcare professionals practical tools for epidemiological analysis and disease management.

Key Features

Elsevier's book integrates mathematical modeling with AI and computational intelligence for epidemiological applications.

Fractional-order modeling techniques enable advanced analysis of disease dynamics and population health trends.

Optimal control strategies provide actionable methods for managing and mitigating disease progression.

Privacy-preserving technologies address ethical concerns in health data analysis and computational research.

This resource combines theoretical foundations with practical applications for public health decision-making.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 February 2026
Listed Since
27 June 2025

Barcode

No barcode data available

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