کنفرانس مهندسی برق ایران

صفحه اصلی / سی امین کنفرانس بین المللی مهندسی برق

Diagnosis of Covid 19 disease, flu, allergies, colds

نویسندگان :

Mahyar Mohammady¹ Marzieh Kamali²

1- دانشگاه صنعتی اصفهان 2- دانشگاه صنعتی اصفهان

کلمات کلیدی :

Covid 19،Deep learning،Artificial Neural Network (ANN)

چکیده :

In 2020 and by spreading the Covid 19 all over the world, one of the most challenging issues is how to distinguish Covid 19 from similar sicknesses since Covid 19 has lots of similar symptoms in comparison between allergies, colds and flu. Another way to distinguish Covid 19 is testing but it has some challenges, for example in some testing, the accuracy of the test is 50 percent and another test which have more accurate result, some days are needed to provide the result in some developing countries and this can be dangerous if the person has Covid 19. There will be great if we can distinguish the Covid 19 from the patient’s symptoms and in this research, an artificial neural network is trained to distinguish the Covid 19 just by the patient’s symptoms. For this purpose different types of supervised learning algorithms are implemented to find the best result for classification. We have focused on the symptoms of each patient and assumed them as inputs for our models and the output is the type of sickness. The structure which is used for this neural network is a multilayer feed-forward neural network.