Active regression model for clinical grading of COVID-19

Active regression model for clinical grading of COVID-19

BackgroundIn the therapeutic process of COVID-19, the majority of indicators that physicians have for assisting treatment have come from clinical tests represented by proteins, metabolites, and immune levels in patients’ blood. Therefore, this study constructs an individualized treatment model based...

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Bibliographic Details
Main Authors: Yuan Sh, Jierong Dong, Zhongqing Chen, Meiqing Yuan, Lingna Lyu, Xiuli Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Immunology
Subjects:
COVID-19
deep learning
active regression
feature engineering
clinical data
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1141996/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1141996/full

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