£141.99

Academic Press - Mathematical Modeling and AI for Epidemiology

Name: Academic Press - Mathematical Modeling and AI for Epidemiology
Brand: Academic Press
Price: 141.99 GBP
Availability: InStock

AI & Machine Learning

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Description

Explore the intersection of data science and public health with Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics. Published by Academic Press, this specialized text addresses the evolving field of disease dynamics through advanced computational methods. This book provides a technical foundation for understanding how mathematical models and artificial intelligence can be applied to track and predict disease patterns. It is designed for those studying the complex relationship between computer science and epidemiological research. By focusing on AI-driven techniques, the content supports the study of modern computational approaches used to analyze health data and disease spread. Whether you are a researcher or a student in the field of computer science or machine learning, this resource offers a deep look into the methodologies used to model biological and social phenomena. It serves as a professional reference for understanding how modern technology assists in the analysis of disease dynamics.

Key Features

Published by Academic Press to ensure professional and academic standards for researchers and students.

Focuses on the integration of AI and machine learning within the field of epidemiology.

Provides technical coverage of mathematical modeling used to study disease dynamics.

Categorized under Computer Science and AI for easy discovery in academic libraries.

Designed for specialized study in computational techniques and public health modeling.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0443332347
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 03 March 2026
Listed Since: 27 June 2025

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Academic Press - Mathematical Modeling and AI for Epidemiology

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