Autopsy and statistical evidence of disturbed hemostasis progress in COVID-19: medical records from 407 patients.

Tiebin JiangBo LvHongxia LiuShiwen HeGuogang ZhangChanyi LiWanqiong LiWeilin LiYaqi HeTong ZhangYunyun WangWu MoNing YiLuying PengYing LiChunhong RuanChengyuan LiYaqi LiuPeipei LuoHuan JiangZhigang XueLiang LiuWenjun Wang

Published in: Thrombosis journal (2021)

Combining autopsy data, time-sequential changes and statistical methods to explore hemostasis-relevant indices among the different severities of the disease helps guide therapy and detect prognosis in COVID-19 infection.

Keyphrases

end stage renal disease
coronavirus disease
ejection fraction
sars cov
chronic kidney disease
newly diagnosed
healthcare
big data
machine learning
mesenchymal stem cells
deep learning
data analysis