1.

Record Nr.

UNINA9910483209303321

Autore

Fong Simon James

Titolo

Artificial Intelligence for Coronavirus Outbreak / / by Simon James Fong, Nilanjan Dey, Jyotismita Chaki

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021

ISBN

981-15-5936-8

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (84 pages)

Collana

SpringerBriefs in Computational Intelligence, , 2625-3704

Disciplina

610.28563

Soggetti

Computational intelligence

Artificial intelligence

Data structures (Computer science)

Health informatics

Computational Intelligence

Artificial Intelligence

Data Structures and Information Theory

Health Informatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

An Introduction to COVID-19 -- AI-enabled Technologies that Fight the Coronavirus Outbreak -- AI-empowered Data Analytics for Coronavirus Epidemic Monitoring and Control -- Conclusion.

Sommario/riassunto

This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives. The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical



practitioners, and anybody who is concerned about this global epidemic.