044 209 91 25 079 869 90 44
Notepad
The notepad is empty.
The basket is empty.
Free shipping possible
Free shipping possible
Please wait - the print view of the page is being prepared.
The print dialogue opens as soon as the page has been completely loaded.
If the print preview is incomplete, please close it and select "Print again".

Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases

BookHardcover
Ranking54700inTechnik
CHF218.00

Description

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.
More descriptions

Details

ISBN/GTIN978-3-031-04596-7
Product TypeBook
BindingHardcover
Publishing date29/06/2022
Edition1st ed. 2022
Series no.1023
Pages260 pages
LanguageEnglish
SizeWidth 160 mm, Height 241 mm, Thickness 20 mm
Weight559 g
Article no.32595680
CatalogsBuchzentrum
Data source no.39227956
Product groupTechnik
More details

Series

Author