NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Intelligent computing applications for COVID-19 : (Record no. 4873)

MARC details
000 -LEADER
fixed length control field 05130cam a2200553 i 4500
001 - CONTROL NUMBER
control field 9781003141105
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122825.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210501t20212021flua ob 001 0 eng
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003141105
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003141102
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000423631
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000423638
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000423600
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000423603
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367692476
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367692483
Qualifying information paperback
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1251737596
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1251737596
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RA644.C67
Item number I578 2021
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJF
Source bicssc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 614.5/924140285
Edition number 23
245 00 - TITLE STATEMENT
Title Intelligent computing applications for COVID-19 :
Remainder of title predictions, diagnosis, and prevention /
Statement of responsibility, etc. edited by Tanzila Saba and Amjad Rehman Khan.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton, FL :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xv, 305 pages) :
Other physical details color illustrations.
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 0# - SERIES STATEMENT
Series statement Innovations in health informatics and healthcare : using artificial intelligence and smart computing
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 Aziz -- Solutions of differential equations for prediction of COVID-19 cases by homotopy perturbation method / Nahid Fatima and Monika Dhariwal -- Predictive models of hospital readmission rate using the improved AdaBoost in COVID 19 / Arash Raftarai, Rahemeh Ramazani Mahounaki , Majid Harouni, Mohsen Karimi, Shakiba Khadem Olghoran -- Nigerian Medical Laboratory diagnosis of COVID-19; from grass to grace / Obeta M. Uchejeso, Nkereuwem S. Etukudoh, Okoli C. Chukwudimma -- COVID-19 CT image segmentation and detection : review / Zahra Nourbakhsh -- Interactive medical chatbot for assisting COVID related queries / Aayush Gadia, Palash Nandi, Dipankar Das -- COVID-19 outbreak prediction after lockdown over based on current data analytics / Muhammad Kashif, Tariq Sadad, Zahid Mehmood -- A deep learning CNN model for genome sequence classification / Hemalatha Gunasekaran, K. Ramalakshmi, Shalini Ramanathan, R.Venkatesan -- The impact of lockdown strategies on COVID-19 cases with a confined sentiment analysis of COVID -19 tweets / Tanzila Saba, Hind Alaskar, Dalyah Ajmal, Erum Afzal -- A mathematical model and forecasting of nCovid19 : outbreak in India / G. Maria Jones, S. Godfrey Winster, A. George Maria Selvam and D. Vignesh -- Automatic lung infection segmentation of Covid-19 in CT scan images / Mohsen Karimi, Majid Harouni, Afrooz Nasr, Nakisa Tavakoli -- A review of feature selection algorithms in determining the factors affecting COVID-19 / Shadi Rafieipour, Sogand B Jaferi, Ziafat Rahmati, Nakisa Tavakoli, Shima Zarrabi Baboldasht -- Industry 4.0 technologies based diagnosis for COVID-19 / Manmeet Kaur, Mohan Singh, Jaskanwar Singh.
520 ## - SUMMARY, ETC.
Summary, etc. "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. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public"--
Assigning source Provided by publisher.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COVID-19 (Disease)
General subdivision Epidemiology
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COVID-19 (Disease)
General subdivision Epidemiology
-- Simulation methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COVID-19 (Disease)
General subdivision Diagnosis
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COVID-19 (Disease)
General subdivision Diagnosis
-- Simulation methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Medical applications.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element TECHNOLOGY / Operations Research
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Saba, Tanzila,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Khan, AR
Fuller form of name (Amjad Rehman),
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003141105">https://www.taylorfrancis.com/books/9781003141105</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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