| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
614.4 |
| 書名/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: |
Lacap, Eduardo M., |
| 出版者: |
Hershey, Pennsylvania : : IGI Global,, 2023. |
| 面頁冊數: |
1 online resource (269 p.) : : ill. |
| 標題: |
Machine learning. |
| 標題: |
Epidemiology - Mathematical models. |
| 標題: |
Epidemiological Models. |
| 標題: |
Epidemiologic Methods. |
| 標題: |
Machine Learning. |
| 標題: |
Communicable Diseases - epidemiology. |
| ISBN: |
9781799883449 (electronic bk.) |
| ISBN: |
1799883434 |
| ISBN: |
9781799883432 |
| 書目註: |
Includes bibliographical references and index. |
| 內容註: |
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. |
| 摘要、提要註: |
"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"-- |
| 電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8343-2 |