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Researches and Applications of Artificial Intelligence to Mitigate Pandemics

History, Diagnostic Tools, Epidemiology, Healthcare, and Technology

Kauser Hameed (Redaktør) ; Surbhi Bhatia (Redaktør) ; Syed Tousi Ahmed (Redaktør)

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. Les mer
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Paperback
Legg i
Vår pris: 1553,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 7 virkedager

Om boka

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.

Fakta

Innholdsfortegnelse

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

3. Epidemiology

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

6. Conclusions

SANEH LATA YADAV, Ritika Dahiya and Surbhi Bhatia

Om forfatteren

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. Dr. Surbhi Bhatia is doctorate in Computer Science and Engineering from Banasthali Vidypaith, India. She earned Project management Professional Certification from reputed?Project?Management Institute, USA.?She is currently an Assistant Professor in the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 8 years of teaching and academic experience.?She has published more than 40 papers in reputed journals and conferences in high indexing databases and?has?and has patents from US, Australia and India.??She has delivered talks as keynote speaker in IEEE conferences and participated in AICTE sponsored faculty development programs. She has successfully authored 2 books and edited 7 books from Wiley, CRC Press, Elsevier and Springer.? She has successfully been awarded 2 funded research?project grants from?Deanship of Scientific Research at King Faisal University and also from Ministry of Education, Saudi Arabia. Her research interests include Machine Learning, Sentiment analysis and Information?Retrieval. 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.