期刊论文详细信息
Frontiers in Medicine | |
Identification and Prediction of Novel Clinical Phenotypes for Intensive Care Patients With SARS-CoV-2 Pneumonia: An Observational Cohort Study | |
Jinghui Yang1  Jun Wang2  Hui Chen2  Lei Xu3  Baodi Sun4  Zhu Zhu5  Yongsheng Li6  Shu Lu7  Jiangtao Yin8  Jun Gu9  Xiangrong Shao1,10  Li Zhang1,11  Xuesong Chen1,12  Nan Su1,13  | |
[1] Department of Critical Care Medicine, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China;Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, China;Department of Emergency Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China;Department of Emergency, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China;Department of General Surgery, The Affiliated Suzhou Science & Technology Town Hospital of Nanjing Medical University, Suzhou, China;Department of Intensive Care Medicine, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China;Department of Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China;Department of Intensive Care Unit, The Affiliated Hospital of Jiangsu University, Zhenjiang, China;Department of Respiratory Medicine, Affiliated Hospital of Nantong University, Nantong, China;Department of Respiratory Medicine, The Affliliation Hospital of Yangzhou University, Yangzhou, China;Department of Respiratory Medicine, Zhongda Hospital Southeast University, Nanjing, China;Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China;Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, China; | |
关键词: COVID-19; phenotypes; machine learning; intensive care unit; 28-day mortality; | |
DOI : 10.3389/fmed.2021.681336 | |
来源: Frontiers | |