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 19 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 19 They are then able to identify the COVID 19 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
کلیدواژهها
نویسندگان
Jafar Abdollahi
Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran
شیوه ارجاع
Abdollahi, Jafar,1400,A review of Deep learning methods in the study, prediction and management of COVID-19,10th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی20 آبان 1400