Author:
Poola Rahul Gowtham,Lahari P. L.,Yellampalli Siva Sankar
Publisher
Springer Nature Switzerland
Reference8 articles.
1. Wynants, L., et al.: Prediction models for diagnosis and prognosis of covid-19: a systematic review and critical appraisal. BMJ 369 (2020)
2. Uphade, D., Muley, A.: Identification of parameters for classification of COVID-19 patient’s recovery days using machine learning techniques. J. Math. Comput. Sci. 12(3), 56 (2022)
3. Hasoon, J.N., et al.: COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images. Results in Physics 31 (2021)
4. Jawahar, M., et al.: Diagnosis of covid-19 using optimized pca based local binary pattern features. Int. J. Current Res. Rev. 13(6), 37–41 (2021)
5. Tuncer, T., Dogan, S., Ozyurt, F.: An automated residual exemplar local binary pattern and iterative relieff based COVID-19 detection method using chest X-ray image. Chemom. Intell. Lab. Syst. 203, 104054 (2020)