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Controlling epidemics with mathematical and machine learning models

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Controlling epidemics with mathematical and machine learning models/ Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban.
作者:	Varghese, Abraham,
其他作者:	Kolamban, Shajidmon,
出版者:	Hershey, Pennsylvania :IGI Global, : 2023.,
面頁冊數:	1 online resource (269 p.) :ill. :
標題:	Communicable Diseases - epidemiology. -
電子資源:	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:

579519
Communicable Diseases
--epidemiology.Index Terms--Genre/Form:

554714
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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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 2 $a Communicable Diseases $x epidemiology. $3 579519
650 2 $a Machine Learning. $3 1137723
650 2 $a Epidemiologic Methods. $3 635871
650 2 $a Epidemiological Models. $3 1427697
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700 1 $a Kolamban, Shajidmon, $d 1983-. $3 1427696
700 1 $a Kumar, Kamal, $d 1980-. $3 1427695
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700 1 $a Lacap, Eduardo M., $d 1982-. $3 1427693
710 2 $a IGI Global. $3 805187
830 0 $a Advances in computational intelligence and robotics (ACIR) book series. $3 1155997
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