A Machine Learning System for Awareness, Diagnosing and Predicting COVID-19

ElGohary, R.; Hisham, A.; Salama, M.; Selim, Y. A. Y.; Abdelwahab, M. S.

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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.