A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients

BACKGROUND: COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. METHODS: COVID-19 patients who were admitted at Hankou Hospital and Huoshenshan Hospital i...

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Enregistré dans:
Détails bibliographiques
Publié dans:BMC Infect Dis
Auteurs principaux: Ma, Xiaojun, Wang, Huifang, Huang, Junwei, Geng, Yan, Jiang, Shuqi, Zhou, Qiuping, Chen, Xuan, Hu, Hongping, Li, Weifeng, Zhou, Chengbin, Gao, Xinglin, Peng, Na, Deng, Yiyu
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2020
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702207/
https://ncbi.nlm.nih.gov/pubmed/33256643
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-020-05614-2
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