| Description |
1 online resource (xxviii, 290 pages) : illustrations (some color), maps |
| Contents |
An overview of global epidemics and the challenges faced -- Leveraging artificial intelligence and digital tech to help citizens, societies, and economies survive and strive during pandemics -- Towards an alternative to lockdown : pandemic management leveraging digital technologies and artificial intelligence -- Exploratory study of existing approaches for analyzing epidemics -- A data science perspective of real-world COVID-19 databases -- Preparing with predictions : forecasting epidemics with artificial intelligence -- The worlwide methods of artificial intelligence for detection and diagnosis of COVID-19 -- The role of AI in digital contact tracing -- Covid-19 accelerating the dynamics of artificial intelligence disruption -- Use of artificial intelligence in pharmacovigilance for social media network -- System-level knowledge representation for artificial intelligence during pandemics |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Artificial intelligence -- Medical applications.
|
|
Epidemics -- Data processing
|
|
Artificial intelligence -- Medical applications
|
|
Epidemics -- Data processing
|
| Form |
Electronic book
|
| Author |
Gruenwald, Le
|
|
Jain, Sarika.
|
|
Groppe, Sven.
|
| ISBN |
9780323900027 |
|
032390002X |
|
