Healthcare Informatics for Fighting COVID-19 and Future Epidemics

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 ofEverything (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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COVID-19 pandemic and epidemics;Smart hospitals and patient monitoring;Disease risk and disease progression modelling;Big-data analytics in healthcare;The Internet of Health Things;Internet of Medical Everything;Health data mining and machine learning