Prediction of COVID-19 Severity by Applying Machine and Deep Learning Techniques

Abstract: This paper aims to help doctors predict how serious a COVID-19 patient’s condition might become using chest X-ray images and Artificial Intelligence (AI). By analyzing these images with advance deep learning and machine learning techniques, the system can identify patients at high risk early on, allowing doctors to act quickly and prioritize treatment. Key features are selected using smart methods like Principal Component Analysis (PCA), and models such as Bagging, AdaBoost, KNN, and LP Boost have shown excellent performance with up to 97% accuracy. This approach helps hospitals manage resources better and provide timely care to the patients who need it most. Proposed method outperforms the state of art techniques of Covid-19 severity prediction.

Keywords: machine learning, Covid-19 severity deep learning, PCA (Principal Component Analysis).