Volume II Issue III July-September 2022

Name of Author : Dr. M. Shalini & Prof. A. Balakishan & Dr. E.L. Vanaja

Title of the paper : Covid-19 Diagnosis and Treatment Prediction Based on Deep Learning

Abstract: In a pandemic situation, automatic detection of the COVID-19 and prediction of medicines is a greater requirement, as there is limited medical equipment and medical staff. In this project, using the deep learning algorithm, automatic diagnosis as well as treatment prediction can be carried out, eliminating the need for manual COVID-19 prediction and check. We used the dataset Sarscov2, which contains 1230 non-Covid images and 1252 Covid lung CT scans. Automatic diagnosis and treatment prediction for COVID-19 is a proposed technique that aims to improve and smarten the health-care system. In this project, three algorithms are implemented such as Long-Short Term Memory LSTM, Generative Adversarial Networks GAN, and Extreme Machine Learning EML for diagnosis and treatment prediction. In this project as artificial intelligence is used, it provides us with very quick diagnostics. Physicians and researchers have a user-friendly interface ready to have Covid-19 or not have Covid, and obtaining information on treatment. Analysis shows that the deep learning technique, CNN-GAN performs more accurately than LSTM and EML.

Keywords : Artificial Intelligence, Machine Learning, Diagnosis, Treatment, Covid-19, Deep Learning

DOI :

Page No. : 49-56