Author:
Housawi Abdulrahman,Alsaywid Basim,Lytras Miltiadis D.,Apostolaki Areti,Tolah Abrar W.,Abuzenada Maha,Almehda Manal Hassan
Reference37 articles.
1. Abdel-Basst, M., Mohamed, R., & Elhoseny, M. (2020). A model for the effective COVID-19 identification in uncertainty environment using primary symptoms and CT scans. Health Informatics Journal, 26, 1460458220952918, 1460458220952918–1460458220952918. Available from https://doi.org/10.1177/1460458220952918.
2. Systematic review of artificial intelligence techniques in the detection and classification of Covid-19 medical images in terms of evaluation and benchmarking: taxonomy analysis, challenges, future solutions and methodological aspects;Albahri;Journal of Infection and Public Health,2020
3. Residents’ training in COVID-19 pandemic times: An integrated survey of educational process, institutional support, anxiety and depression by the Saudi Commission for Health Specialties (SCFHS);Alsaywid;Sustainability,2020
4. How big data and artificial intelligence can help better manage the COVID-19 pandemic;Bragazzi;International Journal of Environmental Research and Public Health,2020
5. Artificial intelligence in prediction of mental health disorders induced by the Covid-19 pandemic among health care workers;Cosic;Croatian Medical Journal,2020
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献