Applications of Artificial Intelligence in COVID-19

Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19.- Chapter 2. Artificial Intelligence based systems for combating COVID-19.- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19.- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19.- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods.- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19.- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and  Diagnosis.- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning.- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients.- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning.- Chapter 12. Machine learning application in COVID-19 drug development.- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach.- Chapter 14. Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine Learning.- Chapter 15. Predictive Risk Analysis by using Machine Learning during Covid-19.- Chapter 16. Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along With Recursive Feature Elimination for COVID-19.- Chapter 17. Artificial intelligence in mental healthcare during COVID-19 pandemic.- Chapter 18. Effect of Covid-19 on Autism Spectrum Disorder: Prognosis, diagnosis and therapeutics based On AI.- Chapter 19. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A Literature Review.- Chapter 20. Role of IoT and Social Networking in Mental Healthcare of Transgender Community in Covid-19 Pandemic.- Chapter 21.

Dr.Sachi Nandan Mohanty, He received his PostDoc from IIT Kanpur in the year 2019 and Ph.D., from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has edited 24 books in association with Springer and Wiley, His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 3 Best Paper Awards during his Ph.D at IIT Kharagpur from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He has awarded Best thesis award first prize by Computer Society of India in the year 2015. He has guided 6 PhD Scholar. He has published 60 International Journals of International repute and has been elected as FELLOWS of Institute of Engineers and IETE with Senior member of IEEE Computer Society Hyderabad chapter.

Prof. (Dr.) Shailendra K. Saxena is the Vice Dean and a Professor at King George's Medical University, Lucknow. His primary research interest is investigating the molecular mechanisms of host defense during human viral infections in order to develop predictive, preventive and therapeutic strategies against these diseases. He has received young scientist awards, and the BBSRC India Partnering Award and was named the Global Leader in Science by The Scientist magazine (USA). He has been elected a Fellow of The Academy of Environmental Biology, India (FAEB), and the Indian Virological Society (FIVS). He was also the recipient of the Dr. JC Bose National Award from the Department of Biotechnology (Govt. of India).

Jyotir Moy Chatterjee is currently working as an Assistant Professor of IT department at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. His research interests include cloud computing, machine