Author: Hui Yu; Jianbo Shao; Yuqi Guo; Yun Xiang; Chuan Sun; Ye Yuan
Title: Data-driven discovery of clinical routes for severity detection in COVID-19 pediatric cases Document date: 2020_3_10
ID: fm6lf66a_5
Snippet: We started from one feature and increased the number of features in the clinical route, until the F1-score converges. We picked the classifier with less incomplete measurements for all the patients, when two classifiers with the same number of features performed the same. Results (39.05%). This is opposite to a previous report [2] . Children over 6-year-old have the highest infection rate (60.95%). All the children lived in Wuhan......
Document: We started from one feature and increased the number of features in the clinical route, until the F1-score converges. We picked the classifier with less incomplete measurements for all the patients, when two classifiers with the same number of features performed the same. Results (39.05%). This is opposite to a previous report [2] . Children over 6-year-old have the highest infection rate (60.95%). All the children lived in Wuhan.
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