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Table of Contents
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.
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.