Author: 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
Title: Predicting COVID-19 malignant progression with AI techniques Document date: 2020_3_23
ID: 50oy9qqy_10
Snippet: A total of 133 samples were included in the COVID-19 dataset. The robustness of the model was evaluated by five-fold cross-validation repeating five times, and each fold was obtained by category-wise sampling......
Document: A total of 133 samples were included in the COVID-19 dataset. The robustness of the model was evaluated by five-fold cross-validation repeating five times, and each fold was obtained by category-wise sampling.
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