
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
- 1st Edition - April 5, 2022
- Imprint: Academic Press
- Editors: Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 0 5 4 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 3 7 8 - 3
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus out… Read more
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Request a sales quoteNovel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models.
In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics.
- Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread
- Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic
- Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak
Researchers and graduate students on medical informatics; clinicians; healthcare providers. Data scientists
1. Deep Learning Based Hybrid Models for Prediction of COVID-19 using Chest X-Ray2. Investigation of COVID-19 and Scientific Analysis big data analytics with the help of machine learning3. Designing a Conceptual Model in the Artificial Intelligence Environment for the Healthcare Sector4. Augmented Reality, Virtual Reality and New Age Technologies Demand Escalates Amid COVID-195. Using Interpretable Machine Learning Identify Factors Contributing to Covid-19 Cases in the Us6. Cloud-based Data Pipeline Orchestration Platform for COVID-19 Evidence-based Analytics7. Threat Model and Security Analysis of Video Conferencing Systems as a Communication Paradigm During COVID-19 Pandemic8. Role of Artificial intelligence in fast-track drug discovery and vaccine development for COVID-199. The economic impact of covid-19 and the role of AI10. An optimized CNN based automated COVID-19 lung infection identification technique from C.T. images
- Edition: 1
- Published: April 5, 2022
- No. of pages (Paperback): 298
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323900546
- eBook ISBN: 9780323903783
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Victor Chang
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Mohamed Abdel-Basset
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Muthu Ramachandran
Professor Muthu Ramachandran is currently a Cybersecurity, AI, and Blockchain Research Consultant at Forti5 Technologies, UK and a Professor Extraordinarius at University of South Africa (UNISA). Muthu is a certified IASME CE, ICA, IoT Cyber & IoT Assurance. Muthu is also an Editorial Board at Blockchain in Healthcare Today (BHTY, USA) and International Journal of Organizational and Collective Intelligence (IJOCI). Muthu has also been awarded as Top Blockchain Voices by LinkedIn. Previously, Muthu was a visiting Professor at Indian Institute of Technology (ISM) Dhanbad, India and at University of Southampton. Muthu has 35+ years of experiences in teaching & research in both academia and in industrial settings. Muthu was also an Associate Professor in the School of Built Environment, Engineering, and Computing at Leeds Beckett University in the UK for 18 years. Prior to his academic career, he spent nearly eight years in industrial research with Philips Research Labs, Volantis Systems Ltd, Surrey, UK, and at DRDO, Hyderabad, India as a Senior Scientist working on real-time systems, software architecture, reuse, and testing. Currently, Muthu has established several Software Engineering Frameworks: Software Security Engineering, Cybersecurity Engineering, AI Ethics and Quality, IoT SE, Cloud SE, Blockchain in Healthcare, etc.
Muthu has authored and co-authored numerous books, book chapters, journal articles, and conference papers, with significant contributions to the fields of computer science, software engineering, service computing, Agile SE, and Cloud software engineering. He is a recognized senior member of IEEE and ACM, a Fellow of BCS, and a Senior Fellow of Advance HE. Muthu has chaired and delivered keynote speeches at several conferences and workshops, including SE-CLOUD, SECE 2020 (IEEE COMPSAC), IoTBDS, DSC 2019-2022, and Complexis. He has actively participated in research projects across various domains of systems & software engineering, SPI for SMEs, emergency and disaster management systems, software components and architectures, software security engineering, and cloud computing.NG
Nicolas Green
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