A review of Deep learning methods in the study, prediction and management of COVID-۱۹
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 215
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شناسه ملی سند علمی:
ICIRES10_050
تاریخ نمایه سازی: 25 آبان 1400
چکیده مقاله:
Artificial intelligence has been considered one of the branches of computer science in the world, especially in Iran, for many years and has led to significant changes in medicine. Today, the scope of artificial intelligence has expanded to the point that it can be used in all areas of medicine, such as diagnosis, treatment, and prediction. In this article, after a brief overview of the application of artificial intelligence and deep learning models, the application of these systems in the field of COVID - ۱۹ prediction is discussed. First, the method used by artificial intelligence algorithms for prediction is explained. In the prediction phase, the algorithms extract patterns from the data after learning the COVID ۱۹. They are then able to identify the COVID - ۱۹ from new samples. We hope that this article will be attractive and helpful for researchers, professors, and students of medicine and artificial intelligence to get familiar with this science and solve complex problems effectively.
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نویسندگان
Jafar Abdollahi
Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran