Abstract
Technology plays a vital role in our lives, and its role magnifies in crises like the COVID-19 pandemic. Technology reduced the effects of lockdown by helping in education, healthcare, industry sectors. This book chapter introduces an innovative system that uses contemporary machine learning techniques to stop the COVID-19 virus outbreak. This system provides guidance and awareness for individuals through chatbot, initial diagnosis for COVID-19 using chest X-ray. Moreover, it gives predictions for COVID-19 new cases. The proposed system can help individual and national healthcare systems curtailing the COVID-19 pandemic by offering chatbot about symptoms, precautions, and safety measures in early detection for COVID-19 cases. The developed system Predict chest X-ray for new coronavirus new case and the similar diagnosis symptoms to support governments by automatically reports for the future of the pandemic and helping the decision-makers make better decisions in quarantine lockdown.
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We want to record our appreciation and gratitude for the academy of scientific research and technology to cooperate and provide all possible resources to help us complete this research and build our innovative AI system.
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ElGohary, R., Hisham, A., Salama, M., Selim, Y.A.Y., Abdelwahab, M.S. (2022). A Machine Learning System for Awareness, Diagnosing and Predicting COVID-19. In: Hassanien, AE., Elghamrawy, S.M., Zelinka, I. (eds) Advances in Data Science and Intelligent Data Communication Technologies for COVID-19. Studies in Systems, Decision and Control, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-77302-1_2
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