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Predicting COVID-19 malignant progression with AI techniques

Xiang Bai, Cong Fang, Yu Zhou, Song Bai, Zaiyi Liu, Qianlan Chen, Yongchao Xu, Tian Xia, Shi Gong, Xudong Xie, Dejia Song, Ronghui Du, Chunhua Zhou, Chengyang Chen, Dianer Nie, Dandan Tu, Changzheng Zhang, Xiaowu Liu, Lixin Qin, Weiwei Chen,

Background: The coronavirus disease 2019 (COVID-19) has become a worldwide pandemic since mid-December 2019, which greatly challenge public medical systems. With limited medical resources, it is a natural strategy, while adopted, to access the severity of patients then determine the treatment priority. However, our work observes the fact that the ... Read more >>

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