Presepsin Predicts Severity and Secondary Bacterial Infection in COVID-19 by Bioinformatics Analysis
- DOI
- 10.1155/2022/9914927
- Published
- 2022-09-06
- Container
- Computational and Mathematical Methods in Medicine
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1155/2022/9914927,
title = {Presepsin Predicts Severity and Secondary Bacterial Infection in COVID-19 by Bioinformatics Analysis},
author = {Yufei Chang and Linan Liu and Hui Wang and Jinghe Liu and Yuwei Liu and Chunjing Du and Mingxi Hua and Xinzhe Liu and Jingyuan Liu and Ang Li},
year = {2022},
journal = {Computational and Mathematical Methods in Medicine},
doi = {10.1155/2022/9914927},
url = {https://doi.org/10.1155/2022/9914927}
}RIS
TY - JOUR TI - Presepsin Predicts Severity and Secondary Bacterial Infection in COVID-19 by Bioinformatics Analysis AU - Yufei Chang AU - Linan Liu AU - Hui Wang AU - Jinghe Liu AU - Yuwei Liu AU - Chunjing Du AU - Mingxi Hua AU - Xinzhe Liu AU - Jingyuan Liu AU - Ang Li PY - 2022 JO - Computational and Mathematical Methods in Medicine DO - 10.1155/2022/9914927 UR - https://doi.org/10.1155/2022/9914927 ER -
APA
Chang, Y., Liu, L., Wang, H., Liu, J., Liu, Y., Du, C., Hua, M., Liu, X., Liu, J., & Li, A. (2022). Presepsin Predicts Severity and Secondary Bacterial Infection in COVID-19 by Bioinformatics Analysis. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2022/9914927
Source records
- crossref · retrieved 2026-09-25T07:39:15.217Z