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Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis
Background: COVID-19 has been quickly spreading, making it a serious public health threat. It is important to identify phenotypes to predict the severity of disease and design an individualized treatment. Methods: We collected data from 213 COVID-19 patients in Wuhan Pulmonary Hospital from January...
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| Publicado no: | Front Med (Lausanne) |
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| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7690648/ https://ncbi.nlm.nih.gov/pubmed/33282887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2020.570614 |
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