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Healthcare informatics for fighting COVID-19 and future epidemics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Healthcare informatics for fighting COVID-19 and future epidemics/ edited by Lalit Garg ... [et al.].
其他作者:	Garg, Lalit.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xix, 438 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Medical informatics. -
電子資源:	https://doi.org/10.1007/978-3-030-72752-9
ISBN:	9783030727529

Healthcare informatics for fighting COVID-19 and future epidemics
Healthcare informatics for fighting COVID-19 and future epidemics[electronic resource] /edited by Lalit Garg ... [et al.]. - Cham :Springer International Publishing :2022. - xix, 438 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030727529

Standard No.: 10.1007/978-3-030-72752-9doiSubjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R858 / .H43 2022

Dewey Class. No.: 610.285

Healthcare informatics for fighting COVID-19 and future epidemics
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520 $a 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.
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