Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention / edited by...
Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention / edited by Tanzila Saba, Amjad Rehman Khan.
About this item
Full title
Publisher
Boca Raton : CRC Press, Taylor & Francis Group, 2021.
Call Numbers
G 2021/1649
Record Identifier
MMS ID
Language
English
Formats
Physical Description
Physical content
xv, 305 pages : illustrations ; 24 cm.
Content type
text
Media type
unmediated
Carrier type
volume
Contents
Deep learning for COVID-19 infection's diagnosis, prevention and treatment / Amjad Rehman, Kashif Mehmood, Noor Ayesha -- Artificial intelligence in coronavirus detection -- recent findings and future perspectives / Syed Ale Hassan, Sahar Gull, Shahzad Akbar, Israr Hanif, Sajid Iqbal, Muhammad Waqas...
Publication information
Publisher
Boca Raton : CRC Press, Taylor & Francis Group, 2021.
Edition
First edition.
Place of Publication
Florida
Date Published
2021.
Subjects
More information
Scope and Contents
Summary
"Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. T...
Alternative Titles
Full title
Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention / edited by Tanzila Saba, Amjad Rehman Khan.
Authors, Artists and Contributors
Author / Artists
Notes
General note
Innovations in health informatics and healthcare: Using artificial intelligence and smart computing
Includes bibliographical references and index.
Contextual Information
Date Copyright
©2022
Identifiers
Primary Identifiers
Call Numbers
G 2021/1649
Record Identifier
74VKaa6X4KRb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VKaa6X4KRb
Other Identifiers
ISBN
0367692473
9780367692476
DDC
614.5924140285
MMS ID
991024419669502626