Applications of Artificial Intelligence in COVID-19 (Medical Virology: From Pathogenesis to Disease Control) 1st ed. 2021 Edition
by Sachi Nandan Mohanty (Editor), Shailendra K. Saxena (Editor), Suneeta Satpathy (Editor), Jyotir Moy Chatterjee (Editor)
The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
Product Details
Product Details
- Publisher : Springer; 1st ed. 2021 edition (September 30, 2021)
- Language : English
- Digital eBook : 615 pages

Supporting Sucking Skills In Breastfeeding Infants 2nd
The Pharmacist Guide to Implementing Pharmaceutical Care
Arbeitgeber Patient – Kundenorientierung in Gesundheitsberufen
Survival Guide Psychiatrie (German Edition) (German) Paperback – December 10, 2018
Concise Guide to Hematology 2nd ed. 2019 Edition
Diagnosis of Endometrial Biopsies and Curettings: A Practical Approach
Adolescents with Chronic Kidney Disease
Dilemma's bij dementie
Absolute Obstetric Anesthesia Review: The Complete Study Guide for Certification and Recertification
Mechanical Ventilation in Emergency Medicine 

