Computational Intelligence Techniques for Combating COVID-19
Verlag | Springer |
Auflage | 2022 |
Seiten | 390 |
Format | 15,5 x 2,1 x 23,5 cm |
Gewicht | 604 g |
Artikeltyp | Englisches Buch |
Reihe | EAI/Springer Innovations in Communication and Computing |
ISBN-10 | 3030689387 |
EAN | 9783030689384 |
Bestell-Nr | 03068938A |
This 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.
Inhaltsverzeichnis:
Introduction.- 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.
Rezension:
"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)