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CRC Press Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

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Description

This comprehensive guide from Chapman and Hall/CRC explores advanced computational methods for analysing epidemiological data, with practical application to COVID-19 and emerging infectious disease challenges. The book combines machine learning, statistical modelling, and artificial intelligence techniques to help researchers, data scientists, and public health professionals develop predictive systems and diagnostic tools. Covering both theoretical foundations and real-world implementation, it demonstrates how intelligent algorithms can extract meaningful patterns from complex health datasets, support decision-making during disease outbreaks, and improve preparedness for future pandemics. Ideal for those seeking to understand the intersection of AI and epidemiology.

Key Features

Published by Chapman and Hall/CRC, a leading publisher in computational intelligence and applied mathematics texts.

Focuses on machine learning and artificial intelligence methods tailored specifically for epidemiological data analysis.

Includes practical case studies and COVID-19 applications demonstrating real-world implementation of predictive models.

Suitable for researchers, data scientists, and public health professionals working with health datasets and outbreak prediction.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 November 2021
Listed Since
21 May 2021

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