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Computerized Systems for Diagnosis and Treatment of COVID-19 (Record no. 103574)

MARC details
000 -LEADER
fixed length control field 03587nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-30788-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240729140104.0
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 230626s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031307881
-- 978-3-031-30788-1
072 #7 - SUBJECT CATEGORY CODE
Subject category code MQW
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC059000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MQW
Source thema
245 10 - TITLE STATEMENT
Title Computerized Systems for Diagnosis and Treatment of COVID-19
250 ## - EDITION
Edition statement 1st ed. 2023.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Physical description VI, 209 p. 91 illus., 67 illus. in color.
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
505 0# - CONTENTS
Contents Clinical impact of automatic diagnostic systems -- Lung segmentation from XRay -- Lung segmentation from CT Scan -- Covid Automatic Diagnostic based on XRay -- Covid Automatic Diagnostic based on CTScan -- Cardiovascular analysis of covid patients based on ECG -- Cognitive analysis of covid patients based on EEG -- AI Controlled Mechanical Ventilator for COVID-19 patients.
520 ## - ABSTRACT
Abstract This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
650 #0 - SUBJECT HEADINGS
Subject term Biomedical engineering.
9 (RLIN) 5387
650 #0 - SUBJECT HEADINGS
Subject term Therapeutics.
650 #0 - SUBJECT HEADINGS
Subject term Diagnosis.
650 #0 - SUBJECT HEADINGS
Subject term Diseases.
650 #0 - SUBJECT HEADINGS
Subject term Biophysics.
9 (RLIN) 5390
650 14 - SUBJECT HEADINGS
Subject term Biomedical Engineering and Bioengineering.
650 24 - SUBJECT HEADINGS
Subject term Therapeutics.
650 24 - SUBJECT HEADINGS
Subject term Diagnosis.
650 24 - SUBJECT HEADINGS
Subject term Diseases.
650 24 - SUBJECT HEADINGS
Subject term Bioanalysis and Bioimaging.
700 1# - ADDED PERSONAL NAME
Added personal author Lobo Marques, Joao Alexandre.
Relator term editor.
Authority record control number (orcid)0000-0002-6472-8784
700 1# - ADDED PERSONAL NAME
Added personal author Fong, Simon James.
Relator term editor.
710 2# - ADDED CORPORATE NAME
Added corporate author SpringerLink (Online service)
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
700 1# - ADDED PERSONAL NAME
-- https://orcid.org/0000-0002-6472-8784
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/10.1007/978-3-031-30788-1 02/05/2024 Electronic book
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