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Title
Artificial intelligence and machine learning methods in COVID-19 and related health diseases / Victor Chang, Harleen Kaur, Simon James Fong, editors.
ISBN
9783031045974 (electronic bk.)
3031045971 (electronic bk.)
9783031045967
3031045963
Imprint
Cham : Springer, 2022.
Language
English
Description
1 online resource (254 pages)
Other Standard Identifiers
10.1007/978-3-031-04597-4 doi
Call Number
R859.7.A78
Dewey Decimal Classification
610.285/63
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 12, 2022).
Series
Studies in computational intelligence ; v. 1023.
Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis
A review of Machine Learning techniques to detect and treat COVID-19 using EHR data
Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario
Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach
Impact of COVID-19 on Indian Agriculture
Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.
