Deep Learning Models for Predicting COVID-19 Using Chest X-Ray Images
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-75945-2_6
Reference61 articles.
1. M. Islam, S. Mahmud, L.J. Muhammad, et al., Wearable technology to assist the patients infected with novel coronavirus (COVID-19). SN Comput. Sci. 1, 320 (2020). https://doi.org/10.1007/s42979-020-00335-4
2. L.J. Muhammad, M.M. Islam, S.S. Usman, et al., Predictive data mining models for novel coronavirus (COVID-19) infected patients’ recovery. Springer Nat. Comput. Sci. 1 (2020). https://doi.org/10.1007/s42979-020-00216-w
3. L.J. Muhammad, E.A. Algehyne, S.S. Usman, et al., Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset. Springer Nat. Comput. Sci. (2020). https://doi.org/10.1007/s42979-020-00394-7
4. L.J. Muhammad, S.S. Usman, Power of artificial intelligence to diagnose and prevent further COVID-19 outbreak: a short communication. arXiv:2004.12463 [cs.CY] (2020)
5. S.M. Ayyoubzadeh, S.M. Ayyoubzadeh, H. Zahedi, et al., Predicting COVID-19 incidence through analysis of Google trends data in Iran: data mining and deep learning pilot study. JMIR Public Health Surveill. 6(2), e18828 (2020)
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