Author:
Wang Jiaqi,Qian Cheng,Cui Suhan,Glass Lucas,Ma Fenglong
Publisher
Springer Nature Switzerland
Reference38 articles.
1. Abiodun, K.M., Awotunde, J.B., Aremu, D.R., Adeniyi, E.A.: Explainable ai for fighting covid-19 pandemic: Opportunities, challenges, and future prospects. In: Computational Intelligence for COVID-19 and Future Pandemics, pp. 315–332. Springer, Heidelberg (2022). https://doi.org/10.1007/978-981-16-3783-4_15
2. Studies in Computational Intelligence;AM Almars,2022
3. Borriello, A., Master, D., Pellegrini, A., Rose, J.M.: Preferences for a covid-19 vaccine in australia. Vaccine 39(3), 473–479 (2021)
4. Chlap, P., Min, H., Vandenberg, N., Dowling, J., Holloway, L., Haworth, A.: A review of medical image data augmentation techniques for deep learning applications. J. Med. Imaging Radiat. Oncol. 65(5), 545–563 (2021)
5. Choi, E., Bahadori, M.T., Schuetz, A., Stewart, W.F., Sun, J.: Doctor AI: predicting clinical events via recurrent neural networks. In: MLHC, pp. 301–318 (2016)
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