Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.

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第一作者： Qin,Liu

第一单位： Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

作者： Qin,Liu ^[1] ; Baoguo,Pang ^[2] ; Haijun,Li ^[3] ; Bin,Zhang ^[4] ; Yumei,Liu ^[5] ; Lihua,Lai ^[1] ; Wenjun,Le ^[6] ; Jianyu,Li ^[1] ; Tingting,Xia ^[1] ; Xiaoxian,Zhang ^[7] ; Changxing,Ou ^[7] ; Jianjuan,Ma ^[8] ; Shenghao,Li ^[1] ; Xiumei,Guo ^[1] ; Shuixing,Zhang ^[4] ; Qingling,Zhang ^[7] ; Min,Jiang ^[9] ; Qingsi,Zeng ^[1]

作者单位： Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. ^[1] Department of Radiology, Huangpi District Hospital of Traditional Chinese Medicine, Wuhan, China. ^[2] Department of Radiology, Hankou Hospital of Wuhan, Wuhan, China. ^[3] Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, China. ^[4] Department of Respiratory, Hankou Hospital of Wuhan, Wuhan, China. ^[5] Department of Respiratory, First Affiliated Hospital of Guangxi University of Science and Technology, Liuzhou, China. ^[6] Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. ^[7] Department of Pediatric Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, China. ^[8] Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. ^[9]

关键词 COVID-19 chest CT critical illness machine learning prediction

DOI 10.21037/jtd-20-2580

PMID 33717594

发布时间 2022-04-21

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