1. Aktoz M., Altay H., Aslanger E., Atalar E., Aytekin V., Baykan A. O., Barçın C., Barış N., Boyacı A. A. ve ark. (2020). COVID-19 Pandemisi ve Kardiyovasküler Hastalıklar Konusunda Bilinmesi Gerekenler.
2. Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & Kalhori, S. R. N. (2020). Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study. JMIR Public Health and Surveillance, 6(2), e18828.
3. Ciresan, D. C., Meier, U., Gambardella, L. M., & Schmidhuber, J. (2010). Deep big simple neural nets for handwritten digit recognition. Neural Computation, 22, 3207–3220.
COVID-19. Open Research Dataset (CORD-19). 2020.
4. de Moraes Batista, A. F., Miraglia, J. L., Donato, T. H. R., & Chiavegatto Filho, A. D. P. (2020). COVID-19 diagnosis prediction in emergency care patients: a machine learning approach. medRxiv.
5. Deng L, Yu D. Deep learning: methods and applications. Foundations and Trends® in Signal Processing 2014; 7(3-4): 197-387. http://dx.doi.org/10.1561/2000000039