Healthcare informatics for fighting COVID-19 and future epidemics / Lalit Garg, Chinmay Chakraborty, Saïd Mahmoudi, Victor S. Sohmen, editors.
Garg, Lalit, 1977- editor.; Chakraborty, Chinmay, 1984- editor.; Mahmoudi, Saïd, editor.; Sohmen, Victor S., editor.
2022
R858 .H43 2022
Available Online

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Title Healthcare informatics for fighting COVID-19 and future epidemics / Lalit Garg, Chinmay Chakraborty, Saïd Mahmoudi, Victor S. Sohmen, editors.
ISBN 9783030727529 (electronic bk.)
3030727521 (electronic bk.)
9783030727512
3030727513
DOI https://doi.org/10.1007/978-3-030-72752-9
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations
Other Standard Identifiers 10.1007/978-3-030-72752-9 doi
Call Number R858 .H43 2022
Dewey Decimal Classification 610.285
Summary This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics. Reveals solutions employing informatics for battling COVID-19 and other coronaviruses; Discusses health data analytics, knowledge sharing, and IoT in relation to informatics and COVID-19; Pertinent to researchers, professionals, and professors in informatics and related fields.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 16, 2021).
Added Author Garg, Lalit, 1977- editor.
Chakraborty, Chinmay, 1984- editor.
Mahmoudi, Saïd, editor.
Sohmen, Victor S., editor.
Series EAI/Springer innovations in communication and computing. 2522-8609
Available in Other Form Print version: 9783030727512
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Introduction
SECTION-1: Health Data Analytics and Mining for the COVID-19 pandemic
COVID-19 pandemic big data analytics and application
Artificial Intelligence approaches for the COVID-19 pandemic
Machine learning and deep learning for the COVID-19 pandemic
Cyber-Social Data Processing and Intelligence Mining for the COVID-19 pandemic
Cloud-based Intelligent systems for the COVID-19 pandemic
Smart hospital requirements for infectious diseases treatment
Big data-driven health risk identification
Pattern recognition in epidemic risk analysis
Predictive modelling for the COVID-19 pandemic and future epidemics
Image processing and computer vision for the COVID-19 pandemic
Sentiment analysis for the COVID-19 pandemic
Patient behaviour modelling for the COVID-19 pandemic
Decision Support Systems (DSS) for the COVID-19 pandemic
Disease outbreak and progression modelling and simulation for COVID-19 pandemic
SECTION-2: Information exchange, knowledge sharing, data storage, and security for the COVID-19 pandemic
COVID-19 information exchange
Knowledge-sharing for the COVID-19 pandemic
Blockchain for secured COVID-19 pandemic data handling
Ontology-based models for the COVID-19 pandemic
Cloud storage of the COVID-19 pandemic data
Data warehousing for the COVID-19 pandemic
Privacy and ethical issues for the COVID-19 pandemic information exchange and sharing
Text mining and natural language processing for the COVID-19 pandemic
Secure communication of the COVID-19 pandemic data
Ensuring the integrity and reliability of the COVID-19 pandemic information
Infodemic and fake news detection and its social spread prevention for the COVID-19 pandemic
Data integrity, consistency, and compliance for the COVID-19 pandemic
Health information impact assessment for the COVID-19 pandemic
Secure handling and exchange of patient-generated data for the COVID-19 pandemic
SECTION-3: The Internet of things (IoT) and the Internet of Everything (IoE) for the COVID-19 pandemic
Smart sensing for the COVID-19 pandemic
Cloud-based secure IoT system for the COVID-19 pandemic
Smart hospital for infectious diseases treatment
Android Apps for the COVID-19 pandemic
IoT and IoE application in microbial risk and healthcare
Wireless sensor networks for the COVID-19 pandemic
E-health, m-Health, and Telemedicine for the COVID-19 pandemic
Wearable computing for the COVID-19 pandemic
Hospital automation systems for the COVID-19 pandemic
IoT and IoE based patient monitoring systems for the COVID-19 pandemic
Security of IoT and IoE based data and devices for the COVID-19 pandemic
IoT and IoE Hardware and software platforms for the COVID-19 pandemic
Conclusion.

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