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Artificial Intelligence in Medical Virology (Record no. 103278)

MARC details
000 -LEADER
fixed length control field 04229nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-981-99-0369-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240729135818.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230421s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819903696
-- 978-981-99-0369-6
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSGL
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI099000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSG
Source thema
245 10 - TITLE STATEMENT
Title Artificial Intelligence in Medical Virology
250 ## - EDITION
Edition statement 1st ed. 2023.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Physical description XVI, 189 p. 1 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES TITLE
Series statement Medical Virology: From Pathogenesis to Disease Control,
International Standard Serial Number 2662-9828
505 0# - CONTENTS
Contents Chapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.
520 ## - ABSTRACT
Abstract This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.
650 #0 - SUBJECT HEADINGS
Subject term Virology.
9 (RLIN) 8273
650 #0 - SUBJECT HEADINGS
Subject term Diseases
General subdivision Causes and theories of causation.
650 #0 - SUBJECT HEADINGS
Subject term Artificial intelligence.
650 14 - SUBJECT HEADINGS
Subject term Virology.
9 (RLIN) 8273
650 24 - SUBJECT HEADINGS
Subject term Pathogenesis.
650 24 - SUBJECT HEADINGS
Subject term Artificial Intelligence.
700 1# - ADDED PERSONAL NAME
Added personal author Moy Chatterjee, Jyotir.
Relator term editor.
700 1# - ADDED PERSONAL NAME
Added personal author Saxena, Shailendra K.
Relator term editor.
710 2# - ADDED CORPORATE NAME
Added corporate author SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Medical Virology: From Pathogenesis to Disease Control,
International Standard Serial Number 2662-9828
856 ## - ONLINE RESOURCE
Uniform Resource Identifier <a href="#gotoholdings">#gotoholdings</a>
Link text Access resource
245 ## - TITLE STATEMENT
Medium [E-Book]
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
912 ## -
-- ZDB-2-SBL
912 ## -
-- ZDB-2-SXB
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Date last seen Uniform Resource Identifier Price effective from Koha item type
        Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Online 02/05/2024 Springer BiomedLifeSc_2023   02/05/2024 https://go.openathens.net/redirector/nhs?url=https://doi.org/10.1007/978-981-99-0369-6 02/05/2024 Electronic book
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