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Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Manikant Roy, Lovi Raj Gupta
Copyright: © 2021 |Pages: 241
ISBN13: 9781799871880|ISBN10: 1799871886|ISBN13 Softcover: 9781799871897|EISBN13: 9781799871903
DOI: 10.4018/978-1-7998-7188-0
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MLA

Roy, Manikant, and Lovi Raj Gupta, editors. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7188-0

APA

Roy, M. & Gupta, L. R. (Eds.). (2021). Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. IGI Global. https://doi.org/10.4018/978-1-7998-7188-0

Chicago

Roy, Manikant, and Lovi Raj Gupta, eds. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7188-0

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Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease.

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
Back Materials
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Compilation of References
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About the Contributors
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Index
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