Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond (Chapman & Hall/CRC Computational Intelligence and Its Applications)

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Description of Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond (Chapman & Hall/CRC Computational Intelligence and Its Applications)

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis and early detection of diseases arising out of outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic economic-social structure.
The book offers comprehensive coverage of the most essential topics, including:
A general overview of pandemics and their outbreak behavior.
A detailed overview of CI techniques.
Intelligent modeling, prediction and diagnostic measures for pandemics.
Prognostic models.
Post-pandemic socio-economic structure.
The accompanying case studies are based on real-world data sets available till date.
While other books may deal with this Covid-19 pandemic, none features the human immune systems as well as influences on the environmental disorder due to the ongoing pandemic.
The book is primarily intended to come to the benefit of medical professionals and healthcare workers along with the virologists who are essentially the frontline fighters of Covid-19 pandemic. In addition, it would also serve as an essential resource for relevant researchers in this interdisciplinary field apart from tutors, post-graduate and under-graduate students of information sciences.