An effective machine learning approach for identifying non-severe and severe coronavirus disease 2019 patients in a rural Chinese population: The wenzhou retrospective study

• Main Authors: Wu, Peiliang, Ye, Hua, Cai, Xueding, Li, Chengye, Li, Shimin, Chen, Mengxiang, Wang, Mingjing, Heidari, Ali Asghar, Chen, Mayun, Li, Jifa, Chen, Huiling, Huang, Xiaoying, Wang, Liangxing
• Other Authors: COMPUTER SCIENCE
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: Coronavirus; COVID-19; Disease diagnosis; Feature selection; Slime mould algorithm; Support vector machine
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/232662
• Institution: National University of Singapore

10.1109/access.2021.3067311