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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

Ejemplares similares