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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 models/ Abraham 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.
[NT 15003449]:	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.
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:

533906
Machine learning.
Index Terms--Genre/Form:

542853
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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020 $a 9781799883449 (electronic bk.)
020 $a 1799883434
020 $a 9781799883432
035 $a (CaBNVSL)slc00003858
035 $a (OCoLC)1310646628
035 $a 00269752
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a RA651 $b .V37 2023eb
060 0 0 $a WA 950 $b .V37 2023eb
082 0 4 $a 614.4 $2 23
100 1 $a Varghese, Abraham, $d 1977-. $3 3675644
245 1 0 $a Controlling epidemics with mathematical and machine learning models $h [electronic resource] / $c Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (269 p.) : $b ill.
490 1 $a Advances in computational intelligence and robotics (ACIR) book series
504 $a Includes bibliographical references and index.
505 0 $a 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 $a "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"-- $c Provided by publisher.
650 0 $a Machine learning. $3 533906
650 0 $a Epidemiology $x Mathematical models. $3 660489
650 2 $a Epidemiological Models. $3 3675649
650 2 $a Epidemiologic Methods. $3 608919
650 2 $a Machine Learning. $3 3382522
650 2 $a Communicable Diseases $x epidemiology. $3 578825
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Lacap, Eduardo M., $d 1982-. $3 3675645
700 1 $a Sajath, Ibrahim, $d 1957-. $3 3675646
700 1 $a Kumar, Kamal, $d 1980-. $3 3675647
700 1 $a Kolamban, Shajidmon, $d 1983-. $3 3675648
710 2 $a IGI Global. $3 1361470
830 0 $a Advances in computational intelligence and robotics (ACIR) book series. $3 3311060
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2