Contents
- Preface
- Acknowledgment
- Notes on the Editors
- Contributors
- Chapter 1 Deep Learning for COVID-19 Infection’s Diagnosis, Prevention, and Treatment
Amjad Rehman Khan, Kashif Mehmood, and Noor Ayesha
- Chapter 2 Artificial Intelligence in Coronavirus Detection—Recent Findings and Future Perspectives
Syed Ale Hassan, Sahar Gull, Shahzad Akbar, Israr Hanif, Sajid Iqbal, and Muhammad Waqas Aziz
- Chapter 3 Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Nahid Fatima and Monika Dhariwal
- Chapter 4 Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Arash Raftarai, Rahemeh Ramazani Mahounaki, Majid Harouni, Mohsen Karimi, and Shakiba Khadem Olghoran
- Chapter 5 Nigerian Medical ...
Get Intelligent Computing Applications for COVID-19 now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
