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Artificial Intelligence Applications in a Pandemic: COVID-19 [Kõva köide]

Edited by , Edited by (Ibn Zohr University, Morocco), Edited by (Mansoura University, Egypt), Edited by
  • Formaat: Hardback, 144 pages, kõrgus x laius: 234x156 mm, kaal: 331 g, 20 Tables, black and white; 39 Line drawings, black and white; 12 Halftones, black and white; 51 Illustrations, black and white
  • Sari: Smart and Intelligent Computing in Engineering
  • Ilmumisaeg: 18-Mar-2022
  • Kirjastus: CRC Press
  • ISBN-10: 0367644495
  • ISBN-13: 9780367644499
  • Formaat: Hardback, 144 pages, kõrgus x laius: 234x156 mm, kaal: 331 g, 20 Tables, black and white; 39 Line drawings, black and white; 12 Halftones, black and white; 51 Illustrations, black and white
  • Sari: Smart and Intelligent Computing in Engineering
  • Ilmumisaeg: 18-Mar-2022
  • Kirjastus: CRC Press
  • ISBN-10: 0367644495
  • ISBN-13: 9780367644499
The book demonstrates unique and useful applications of AI, in particular COVID-19 and examines the challenges in the advancement of artificial intelligence in advance medical science. It will be useful to undergrad and postgraduate students, analysts, academicians, and high quality researches between digital healthcare technologies.

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we come across myriad challenges during this pandemic. Scientists and developers are learning and finding a way to use artificial intelligence applications and natural language processing to comprehend and tackle this disease.

AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on finding how AI can be helpful in monitoring the situation from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and anybody managing a global pandemic.

Features:

  1. Directs the attention to the smart digital healthcare system in this COVID-19 pandemic.
  2. Simulates novel investigations and how they will be beneficial in understanding the pandemic.
  3. Presents the latest ideas developed for data scientists, doctors, engineers, and economists.
  4. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps.
  5. Explains some interesting and diverse types of challenges and data-driven healthcare applications.
Preface vii
Editors ix
1 Role of Artificial Intelligence in COVID-19
1(16)
S. Lalitha
H. T. Bhavana
K. N. Madhusudhan
Prascheth
Harshitha
2 Application of 3D Printing in COVID-19
17(20)
M. Anantha Sunil
T. Sanjana
Akshata Rai
Apoorva G. Kanthi
3 Role of IoT and AI in COVID-19
37(16)
Maligi Anantha Sunil
T. Sanjana
Akhil S. Raj
A. Abhishek
4 Potential Contributions of AI against COVID-19
53(8)
Sreeja Sarasamma
Yashbir Singh
5 A Comparative Study of COVID-19 Data Analysis Using R Programming
61(18)
Yagyanath Rimal
Bharatendra Rai
Vijay Singh Rathore
Sakuntala Pageni
Prakash Gautam
6 COVID Cases Analysis: Dynamic Animated Plots Using R Programming
79(14)
Yagyanath Rimal
Bharatendra Rai
Vijay Singh Rathore
Sakuntala Pageni
7 Tracking and Analyzing COVID-19 Pandemic Using Twitter and Topic Modelling
93(8)
Pradeep Gangwar
Yashbir Singh
Vrijendra Singh
8 Artificial Neural Network Application to Analyze 3D Image Printing Using Artificial Intelligence in COVID-19
101(12)
Paryati
Salahddine Krit
9 The Evolution of Emerging Market (EM) Sovereign CDS Spreads during COVID-19
113(18)
Nadir Oumayma
Daoui Driss
10 Prediction of COVID-19 Data Using Business Intelligence Tools
131(10)
Sara El Habbari
Mhamed-Amine Soumiaa
Mohamed Mansouri
Index 141
Salah-ddine Krit is currently an Associate Professor at the Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University Agadir Morocco. Dr. Krit is currently The Director of Engineering Science and Energies Laboratory and The Chief of Department of Mathematics, Informatics and Management.

Vrijendra Singh is presently an Associate Professor & Head, at Department of Information Technology, Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa.

Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE.

Yashbir Singh is currently Medical Scientist at the Heart and Vascular Institute, WVU Medicine, USA.