Description
Book SynopsisThis book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.
Trade Review“It is a good source for artificial Intelligence (AI) or healthcare students looking for graduate-level project ideas. It is also good reading for researchers in AI applications and healthcare.” (Maulik A. Dave, Computing Reviews, January 16, 2023)
Table of ContentsIntroduction.- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19.- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19.- Medical Imaging Diagnosis and Analysis for COVID-19.- Personalized Medicines and vaccines development for COVID-19.- Machine Learning and Behavioral Modification for COVID-19.- Smart Health Record Management Techniques for COVID-19.- Intelligent Clinical Trials for COVID-19.- Crowdsourcing and Data Collection for COVID-19.- Radiotherapy for COVID-19.- Outbreak Prediction for COVID-19.- Intelligent Mobile Applications for COVID-19.- Internet of Things enabled applications and design Challenges.- Big Data Enabled Solutions for COVID-19.- Electronic Governance Policies for Pandemic Crisis.- Use of Automation and Robots to Fight Coronavirus.- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19.- Unlocking Potentials of NLP to Fight against COVID-19 Crisis.- Chatbots for Coronavirus.- Conclusion.
