Author: Bo Shen; Xiao Yi; Yaoting Sun; Xiaojie Bi; Juping Du; Chao Zhang; Sheng Quan; Fangfei Zhang; Rui Sun; Liujia Qian; Weigang Ge; Wei Liu; Shuang Liang; Hao Chen; Ying Zhang; Jun Li; Jiaqin Xu; Zebao He; Baofu Chen; Jing Wang; Haixi Yan; Yufen Zheng; Donglian Wang; Jiansheng Zhu; Ziqing Kong; Zhouyang Kang; Xiao Liang; Xuan Ding; Guan Ruan; Nan Xiang; Xue Cai; Huanhuan Gao; Lu Li; Sainan Li; Qi Xiao; Tian Lu; Yi Judy Zhu; Huafen Liu; Haixiao Chen; Tiannan Guo
Title: Proteomic and Metabolomic Characterization of COVID-19 Patient Sera Document date: 2020_4_7
ID: nifz133q_3
Snippet: Identification of severe patients using machine learning 107 We next investigated the possibility of classify the severe COVID-19 108 patients based on the molecular signatures of proteins and metabolites (Table 109 S2). We built a random forest machine learning model based on proteomic the reason of incorrectly classified is unclear. 117 We then tested the model on an independent cohort of ten patients 118 ( Figure 2E , Table S3 ). All severe .....
Document: Identification of severe patients using machine learning 107 We next investigated the possibility of classify the severe COVID-19 108 patients based on the molecular signatures of proteins and metabolites (Table 109 S2). We built a random forest machine learning model based on proteomic the reason of incorrectly classified is unclear. 117 We then tested the model on an independent cohort of ten patients 118 ( Figure 2E , Table S3 ). All severe patients were correctly identified, except one previously been reported in COVID-19 (Liang et al., 2020) . SAA1 was 206 reported to be elevated in severe SARS patients, but was not specific to 207 SARC-CoV (Pang et al., 2006) . As a major contributor to acute phase 208 response, complement system plays a crucial role in eliminating invading 209 pathogens in the early stage of infection. Among those APPs, two proteins 210 belong to the complement membrane attack complex, including complement 6
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