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Controlling epidemics with mathematical and machine learning models
Record Type:
Electronic resources : Monograph/item
Title/Author:
Controlling epidemics with mathematical and machine learning modelsAbraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban.
Author:
Varghese, Abraham,
other author:
Lacap, Eduardo M.,
Published:
Hershey, Pennsylvania :IGI Global,2023.
Description:
1 online resource (269 p.) :ill.
Subject:
Machine learning.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2
ISBN:
9781799883449 (electronic bk.)
Controlling epidemics with mathematical and machine learning models
Varghese, Abraham,1977-.
Controlling epidemics with mathematical and machine learning models
[electronic resource] /Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (269 p.) :ill. - Advances in computational intelligence and robotics (ACIR) book series. - Advances in computational intelligence and robotics (ACIR) book series..
Includes bibliographical references and index.
Chapter 1. Epidemiology models -- Chapter 2. The basic reproduction number -- Chapter 3. Basic compartmental models -- Chapter 4. Simulation of SIR model -- Chapter 5. Extended compartmental model -- Chapter 6. Graph theory approach to epidemic study -- Chapter 7. Network and epidemic model -- Chapter 8. Introduction to machine learning -- Chapter 9. Pairing regression model and R programming -- Chapter 10. Adaptive neuro fuzzy inference system for likelihood of admission to ICU for Covid-19 patients.
"The objective of this book is to make mathematical models for epidemical diseases, especially Covid-19, focusing on quarantine, isolation and vaccine effect for the control of the disease and providing simulation of the model to bedone with the help of python/matlab"--
ISBN: 9781799883449 (electronic bk.)Subjects--Topical Terms:
188639
Machine learning.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: RA651 / .V37 2023eb
Dewey Class. No.: 614.4
National Library of Medicine Call No.: WA 950 / .V37 2023eb
Controlling epidemics with mathematical and machine learning models
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Controlling epidemics with mathematical and machine learning models
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[electronic resource] /
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Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban.
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Hershey, Pennsylvania :
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IGI Global,
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2023.
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1 online resource (269 p.) :
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Advances in computational intelligence and robotics (ACIR) book series
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Includes bibliographical references and index.
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Chapter 1. Epidemiology models -- Chapter 2. The basic reproduction number -- Chapter 3. Basic compartmental models -- Chapter 4. Simulation of SIR model -- Chapter 5. Extended compartmental model -- Chapter 6. Graph theory approach to epidemic study -- Chapter 7. Network and epidemic model -- Chapter 8. Introduction to machine learning -- Chapter 9. Pairing regression model and R programming -- Chapter 10. Adaptive neuro fuzzy inference system for likelihood of admission to ICU for Covid-19 patients.
520
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"The objective of this book is to make mathematical models for epidemical diseases, especially Covid-19, focusing on quarantine, isolation and vaccine effect for the control of the disease and providing simulation of the model to bedone with the help of python/matlab"--
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Machine learning.
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Epidemiologic Methods.
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Machine Learning.
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Lacap, Eduardo M.,
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Sajath, Ibrahim,
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Kolamban, Shajidmon,
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1983-.
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IGI Global.
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Advances in computational intelligence and robotics (ACIR) book series.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2
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EB RA651 .V37 2023eb 2023
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2
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