The Feature Extraction for Coronavirus Disease Classification Techniques

Abstract COVID-19 has been an epidemic since the end of 2019. The number of patients with COVID-19 continues to escalate until new variants emerge. The COVID-19 detection procedure begins with detecting early symptoms, furthermore confirmed by the swab and CXR methods. The process of swab and CXR takes a relatively long time since in CXR some patients have the same symptoms as pneumonia. This study carried out the classification of COVID-19 and not COVID-19 with feature extraction techniques and classification methods. The result of this study capable to identify CXR with COVID-19 and an accuracy of 96.5%. In addition, this study even compares the classification results without using feature extraction techniques. The comparison result showed that feature extraction was able to significantly improve accuracy.