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Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support.
Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.
- Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics
- Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods
- Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety
Biomedical Engineers, Computer Scientists, Researchers in the fields of Statistics, Mathematics, AI, and Epidemiology
1. A Case of 2019-nCoV Novel Coronavirus Outbreak
Asma Fatima, Khutaija Maheen and Kauser Hameed
2. Diagnostic Tools and Automated Decision Support Systems For COVID-19
Noor E. Hafsa
Khutaija Maheen, Fatima Rubeena and Kauser Hameed
4. Social Media Sentiment Analysis And Emotional Intelligence
Rameez Unnisa and Khutaija Maheen
5. Role of Technology in COVID-19 Pandemic
RAAZIA SAHER and Madiha Anjum
SANEH LATA YADAV, Ritika Dahiya and Surbhi Bhatia
- No. of pages:
- © Academic Press 2021
- 1st May 2021
- Academic Press
- Paperback ISBN:
Kauser Hameed, is a lecturer at King Faisal University –College of Computer Science - Information’s System department. She earned her Bachelor’s degree in Computer's Application from Osmania University, India in 2002 and completed her Master levels in Computer’s Application from the same campus in 2004. In more than a decade of her work experience, she hold promising and vivid work roles in multinational IT sectors such as GE Capitals and Sumtotal, while devoting her services in Academic later to that. Editing books, participating chapters and compiling academic videos is also one of her interesting diversions.
Lecturer, King Faisal University, College of Computer Science, Inforamtion's System Department, Al-Ahsa, Saudi Arabia
Surbhi Bhatia is doctorate in Computer Science and Engineering. She is also Project management Professional Certified from reputed Project Management Institute, USA. She is currently an Assistant Professor in Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has rich 8 years of teaching and academic experience. She is the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence and in SN Applied Sciences, Springer. She has published seven national and international patents. She has been granted Australian patent also titled "Dataset Discovery using Data Analytics using AI". She has published more than 30 papers in reputed journals and conferences in high indexing databases. She is currently serving as a guest editor of special issues in reputed journals of Springer (SN Applied Sciences, Indexing ESCI, Springer), Computer, Materials and Continua (Indexing SCI, Scopus), Internet of Things (Indexing: SCIE, Elsevier) and in many international conferences (indexing: Springer, IEEE, IOP) . She has delivered talks as keynote speaker in IEEE conferences and in faculty development programs. She has successfully authored two books from Springer and Wiley. Currently, she is editing three books from CRC Press, Elsevier and Springer. She has successfully completed funded research projects from Deanship of Scientific Research at King Faisal University. Her research areas are Data Mining, Machine Learning, and Information retrieval.
Assistant Professor, Department of Information Systems, King Faisal University, Hofuf, Saudi Arabia
Syed Tousif Ahmed holds a Masters of Computer Science and Engineering; graduated from Jawaharlal Nehru Technological University Hyderabad, India. His expertise lend strong hands on to High Performance Computing, Artificial Intelligence, Cloud database, Python, Linux administration and Data Science. Holding over 10 plus years of work experience in the field of Information Technology, he played vivid roles as working in Academics as well as in the industry. In his career journey he worked as a Database Administrator in University of Dammam, Oracle HR consultant at Extra Zonic Dammam, R and D associate at various funded research projects at renowned universities internationally and proved to show distinguished results. Currently, he is aspiring to pursue doctorate in one of his engrossing areas.
Masters of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, India
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