Abstract
Covid-19 pandemic changed our world as many people lost their jobs. Technology’s role is helping and facilitating our life, this role highlights situations like covid-19 virus pandemic. In this paper, we propose an innovative framework integrated with the latest machine learning techniques to assist of the covid-19 virus outbreak. The proposed framework provides three modules awareness and guidance for individuals through Chabot, diagnosis and prediction of COVID-19. The initial diagnosis for covid-19 using chest X-ray and predictions for covid-19 new cases. Moreover, the proposed framework has the potential to help citizens and national healthcare systems in curtailing the COVID-19 pandemic. The Chabot represent all the following: the symptoms, precautions and safety measures, early detection for COVID-19 cases using chest X-ray, predictions for covid-19 new cases to in light governments with the future of the pandemic. The proposed framework assist the decision makers to make improved decisions in quarantine and lock-down.
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Acknowledgement
Artificial intelligence Technology Center (AITC) at Misr University for science and Technology (MUST) would like to record our appreciation and gratitude for Academy of Scientific Research and Technology (ASRT) for their cooperation and support in this scientific research to develop an innovative deep learning framework. This research won in March 2020 among the best scientific research proposal in EGYPT from ASRT in the Apply Your Idea program.
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ElGohary, R., Hisham, A., Salama, M., Selim, Y.A.Y., Abdelwahab, M.S. (2021). A Deep Learning Solution Framework for Awareness, Diagnosing and Predicting COVID-19. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_5
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