Titlebook: Applications of Artificial Intelligence in COVID-19; Sachi Nandan Mohanty,Shailendra K. Saxena,Jyotir M Book 2021 The Editor(s) (if applic

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Bernhard Schmidt,Rudolf Tippeltter this disease caused by coronavirus. Here an attempt is made to intimate a healthy normal person about the dangers of infection of nCOVID-19. To accomplish the goal of intimate the danger of infection via nCOVID-19, this chapter illustarte the concept of unsupervised learning using clustering met

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Christiane Gro?e,Hans-Günther Ro?bachgies for the healthy life. This virus is highly infectious and transmits extensively through human-to-human contact. This viral diseases which become pandemic in short time period generated requirement of cost effective diagnosis, treatment and easy control methods. The objective of this review is t

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https://doi.org/10.1007/978-3-662-65631-0atterns related to it. Hundreds of clinical trials are underway to generate the possible cure of the disease. Devastating and uncontrolled worldwide spread of COVID-19 triggered unprecedented global lock-downs and massive burden on healthcare systems. WHO World Health Organization has recommended im

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Empirische Controllingforschungtations such as cold, cough and fever, and the problem of breathing in progressively severe cases. This chapter is dedicated to the use of machine learning techniques for prediction of safe zone during COVID-19. At this point in the collective experience of coronavirus in the world, it seems clear t

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