Efficacy and Safety of Anticoagulation Treatment in COVID-19 Patient Subgroups Identified by Clinical-Based Stratification and Unsupervised Machine Learning: A Matched Cohort Study

Efficacy and Safety of Anticoagulation Treatment in COVID-19 Patient Subgroups Identified by Clinical-Based Stratification and Unsupervised Machine Learning: A Matched Cohort Study

Objective: To explore the efficacy of anticoagulation in improving outcomes and safety of Coronavirus disease 2019 (COVID-19) patients in subgroups identified by clinical-based stratification and unsupervised machine learning.Methods: This single-center retrospective cohort study unselectively revie...

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Bibliographic Details
Main Authors: Yi Bian, Yue Le, Han Du, Junfang Chen, Ping Zhang, Zhigang He, Ye Wang, Shanshan Yu, Yu Fang, Gang Yu, Jianmin Ling, Yikuan Feng, Sheng Wei, Jiao Huang, Liuniu Xiao, Yingfang Zheng, Zhen Yu, Shusheng Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Medicine
Subjects:
COVID-19
anticoagulation
outcomes
mortality
bleeding events
unsupervised machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.786414/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.786414/full

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