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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Predictive Risk Analysis by Using Machine Learning During COVID-19is chapter, we propose a system which will collect the database available on government websites related to the statistics of COVID-19, and it will ease the traveller to make decisions for travelling. The application will show a list of places and when we click on a place, it will show different sta

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Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along with Recursive Featis proposed. This work aims to predict the stage of heart disease of a patient by employing machine learning algorithms. The stochastic gradient boosting algorithm along with Recursive Feature Elimination (RFE) for selecting the best features in the data and predicting the risk level of COVID-19 has

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https://doi.org/10.1007/978-3-531-93015-2ncements in gathering, investigating and testing of ordered and shapeless healthcare data for overall health defensive and safeguarding goals with application of computing technologies. Artificial intelligence (AI) with its enabled cognitive knowledge has proved itself a powerful assisting tool with

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Sind Jungen die neuen Bildungsverlierer? and countries. The diagnosis is a key part of the strategies to prevent further spread of the infection and patient treatment. The viral infection can be detected by RT-PCR or by antibody testing for specific IgM. The chest X-ray and CT scan often diagnose the COVID-19 earlier than the laboratory t

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Sind Jungen die neuen Bildungsverlierer?ronavirus 2 (SARS-CoV-2). Early diagnosis is the only way to control Covid-19 during this difficult situation. There are many methodologies currently available to test and diagnose Covid-19. For the etiologic diagnosis of this viral infection, standard molecular test such as real-time reverse transc

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Sind Jungen die neuen Bildungsverlierer?rld are enabling AI-oriented technologies to develop computerized models that can imitate human intelligence and better understand and analyze galactic volumes of data to identify patterns of interest and its perceptiveness. The said fields have already proven to be invaluable in predicting, classif