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Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters
BACKGROUND: Immune and inflammatory dysfunction was reported to underpin critical COVID-19(coronavirus disease 2019). We aim to develop a machine learning model that enables accurate prediction of critical COVID-19 using immune-inflammatory features at admission. METHODS: We retrospectively collecte...
Autores principales: | Gao, Yue, Chen, Lingxi, Chi, Jianhua, Zeng, Shaoqing, Feng, Xikang, Li, Huayi, Liu, Dan, Feng, Xinxia, Wang, Siyuan, Wang, Ya, Yu, Ruidi, Yuan, Yuan, Xu, Sen, Li, Chunrui, Zhang, Wei, Li, Shuaicheng, Gao, Qinglei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891473/ https://www.ncbi.nlm.nih.gov/pubmed/33602326 http://dx.doi.org/10.1186/s40560-021-00531-1 |
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