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Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases: Studies in Computational Intelligence, cartea 1023

Editat de Victor Chang, Harleen Kaur, Simon James Fong
en Limba Engleză Paperback – 30 iun 2023
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.


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Specificații

ISBN-13: 9783031045998
ISBN-10: 3031045998
Pagini: 248
Ilustrații: VIII, 248 p. 85 illus., 59 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.


Textul de pe ultima copertă

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.



Caracteristici

Demonstrates the research contributions and research novelty Discusses the prospective developments and innovative ideas in artificial intelligence States that COVID-19 is a huge challenge to humanity and the medical sciences