Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases.

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作者： Ying,Cao ^[1] ; Tianhua,Yao ^[2] ; Ronghao,Li ^[3] ; Liang,Tan ^[1] ; Zhixiong,Zhang ^[3] ; Junsheng,Qi ^[1] ; Rui,Zhang ^[1] ; Yazhou,Wu ^[4] ; Zhiqiang,Chen ^[5] ; Changlin,Yin ^[6]

作者单位： Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China. ^[1] Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China. ^[2] School of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China. ^[3] Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China. asiawu@tmmu.edu.cn. ^[4] Department of Pediatrics, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), No. 30, Gaotan Yanzheng Street, Shapingba District, Chongqing, 400038, China. chenzhiqiang_cc@163.com. ^[5] Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China. ycl0315@163.com. ^[6]

关键词 COVID-19 Decision-making Machine learning Omicron Re-positive