An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19

A high-performing interpretable model is proposed to predict the risk of deterioration in coronavirus disease 2019 (COVID-19) patients. The model was developed using a cohort of 3028 patients diagnosed with COVID-19 and exhibiting common clinical symptoms that were internally verified (AUC 0.8517, 9...

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Detalles Bibliográficos
Autores principales: Jia, Lijing, Wei, Zijian, Zhang, Heng, Wang, Jiaming, Jia, Ruiqi, Zhou, Manhong, Li, Xueyan, Zhang, Hankun, Chen, Xuedong, Yu, Zheyuan, Wang, Zhaohong, Li, Xiucheng, Li, Tingting, Liu, Xiangge, Liu, Pei, Chen, Wei, Li, Jing, He, Kunlun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633326/
https://www.ncbi.nlm.nih.gov/pubmed/34848736
http://dx.doi.org/10.1038/s41598-021-02370-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633326/
https://www.ncbi.nlm.nih.gov/pubmed/34848736
http://dx.doi.org/10.1038/s41598-021-02370-4

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