Author: Yu, Hui; Shao, Jianbo; Guo, Yuqi; Xiang, Yun; Sun, Chuan; Yuan, Ye
Title: Data-driven discovery of clinical routes for severity detection in COVID-19 pediatric cases Cord-id: fm6lf66a Document date: 2020_3_10
ID: fm6lf66a
Snippet: The outbreak of COVID-19 epidemic has caused worldwide health concerns since Nov., 2019. A previous study described the demographic, epidemiologic, and clinical features for infected infants. However, compared with adult cases, little attention has been paid to the infected pediatric cases. Severity detection is challenging for children since most of children patients have mild symptoms no matter they are moderately or critically ill therein.
Document: The outbreak of COVID-19 epidemic has caused worldwide health concerns since Nov., 2019. A previous study described the demographic, epidemiologic, and clinical features for infected infants. However, compared with adult cases, little attention has been paid to the infected pediatric cases. Severity detection is challenging for children since most of children patients have mild symptoms no matter they are moderately or critically ill therein.
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