Controlling epidemics with mathematical and machine learning models:
"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 be done with the help of python/matlab"--
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2023.
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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 be done with the help of python/matlab"-- |
| Beschreibung: | 15 PDFs (269 pages) : illustrations Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799883449 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 1 | 0 | |a Controlling epidemics with mathematical and machine learning models |c Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2023. | |
| 300 | |a 15 PDFs (269 pages) : |b illustrations | ||
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| 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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 be done with the help of python/matlab"-- |c Provided by publisher. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 12/08/2022). | ||
| 650 | 0 | |a Epidemiology |x Mathematical models. | |
| 650 | 0 | |a Machine learning. | |
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| 650 | 2 | |a Epidemiologic Methods. | |
| 650 | 2 | |a Epidemiological Models. | |
| 650 | 2 | |a Machine Learning. | |
| 700 | 1 | |a Kolamban, Shajidmon |d 1983-, |e author. | |
| 700 | 1 | |a Kumar, Kamal |d 1980-, |e author. | |
| 700 | 1 | |a Lacap, Eduardo M. |d 1982-, |e author. | |
| 700 | 1 | |a Sajath, Ibrahim |d 1957- |e author. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 830 | 0 | |a Advances in computational intelligence and robotics (ACIR) book series. | |
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| author | Varghese, Abraham, 1977- Kolamban, Shajidmon 1983- Kumar, Kamal 1980- Lacap, Eduardo M. 1982- Sajath, Ibrahim 1957- |
| author_facet | Varghese, Abraham, 1977- Kolamban, Shajidmon 1983- Kumar, Kamal 1980- Lacap, Eduardo M. 1982- Sajath, Ibrahim 1957- |
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| contents | 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. |
| ctrlnum | (CaBNVSL)slc00003858 (OCoLC)1310646628 |
| dewey-full | 614.4 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 614 - Forensic medicine; incidence of disease |
| dewey-raw | 614.4 |
| dewey-search | 614.4 |
| dewey-sort | 3614.4 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00269752 |
| illustrated | Illustrated |
| indexdate | 2024-07-16T15:51:57Z |
| institution | BVB |
| isbn | 9781799883449 |
| language | English |
| oclc_num | 1310646628 |
| open_access_boolean | |
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| physical | 15 PDFs (269 pages) : illustrations Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2023 |
| publishDateSearch | 2023 |
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| publisher | IGI Global, |
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| series | Advances in computational intelligence and robotics (ACIR) book series. |
| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spelling | Varghese, Abraham, 1977-, author. Controlling epidemics with mathematical and machine learning models Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2023. 15 PDFs (269 pages) : illustrations text rdacontent electronic isbdmedia online resource rdacarrier 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. Restricted to subscribers or individual electronic text purchasers. "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 be done with the help of python/matlab"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/08/2022). Epidemiology Mathematical models. Machine learning. Communicable Diseases epidemiology. Epidemiologic Methods. Epidemiological Models. Machine Learning. Kolamban, Shajidmon 1983-, author. Kumar, Kamal 1980-, author. Lacap, Eduardo M. 1982-, author. Sajath, Ibrahim 1957- author. IGI Global, publisher. Print version: 1799883434 9781799883432 Advances in computational intelligence and robotics (ACIR) book series. FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2 Volltext |
| spellingShingle | Varghese, Abraham, 1977- Kolamban, Shajidmon 1983- Kumar, Kamal 1980- Lacap, Eduardo M. 1982- Sajath, Ibrahim 1957- Controlling epidemics with mathematical and machine learning models Advances in computational intelligence and robotics (ACIR) book series. 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. Epidemiology Mathematical models. Machine learning. Communicable Diseases epidemiology. Epidemiologic Methods. Epidemiological Models. Machine Learning. |
| title | Controlling epidemics with mathematical and machine learning models |
| title_auth | Controlling epidemics with mathematical and machine learning models |
| title_exact_search | Controlling epidemics with mathematical and machine learning models |
| title_full | Controlling epidemics with mathematical and machine learning models Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. |
| title_fullStr | Controlling epidemics with mathematical and machine learning models Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. |
| title_full_unstemmed | Controlling epidemics with mathematical and machine learning models Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, and Shajidmon Kolamban. |
| title_short | Controlling epidemics with mathematical and machine learning models |
| title_sort | controlling epidemics with mathematical and machine learning models |
| topic | Epidemiology Mathematical models. Machine learning. Communicable Diseases epidemiology. Epidemiologic Methods. Epidemiological Models. Machine Learning. |
| topic_facet | Epidemiology Mathematical models. Machine learning. Communicable Diseases epidemiology. Epidemiologic Methods. Epidemiological Models. Machine Learning. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2 |
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