The effect of artificial intelligence-driven, computed tomography-based assessment of body composition parameters on 28-day mortality of patients with severe fever with thrombocytopenia syndrome: a retrospective cohort study
Authors
Yang Fa (ORCID: https://orcid.org/0000-0002-3651-8886)
The effect of artificial intelligence-driven, computed tomography-based assessment of body composition parameters on 28-day mortality of patients with severe fever with thrombocytopenia syndrome: a retrospective cohort study
Yang Fa, Jianfeng Zhang, Xicheng Zhang, B Wang et al.
Journal
BMC Infectious Diseases
Topics
Viral Infections and Vectors
article
The effect of artificial intelligence-driven, computed tomography-based assessment of body composition parameters on 28-day mortality of patients with severe fever with thrombocytopenia syndrome: a retrospective cohort study
Yang Fa, Jianfeng Zhang, Xicheng Zhang, B Wang, Xin Zheng, Jie Yang, Fan Pu, Dilihumaer Zhayier, Shuting Liu, Ruihan Gao, Minfeng Xu, Bin Zhu
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC Infectious Diseases
Institutions
Union Hospital (HK), Alibaba Group (Cayman Islands) (KY), Union Hospital (CN), Alibaba Group (China) (CN), Huazhong University of Science and Technology (CN)