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...

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Bibliografiska uppgifter
I publikationen:J Intensive Care
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2021
Ämnen:
Research
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7891473/
https://ncbi.nlm.nih.gov/pubmed/33602326
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40560-021-00531-1
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