Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases (Hardcover, 1st ed. 2022)

This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 1023
Release date:	June 2022
First published:	2022
Editors:	Victor Chang • Harleen Kaur • Simon James Fong
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	248
Edition:	1st ed. 2022
ISBN-13:	978-3-03-104596-7
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-104596-3
Barcode:	9783031045967

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