A Multi-Machine Learning Consensus Model Based on Clinical Features Reveals That Interleukin-10 Derived from Monocytes Leads to a Poor Prognosis in Patients with Coronavirus Disease-2019

The CRM provides accurate prognostic predictions for COVID-19 patients. Additionally, the study underscores the importance of early IL-10 level testing upon hospital admission, which could inform therapeutic strategies.

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Publication Details

Journal
Journal of Inflammation Research
Published
2024-09-01
DOI
https://doi.org/10.2147/jir.s472099
Primary Topic
COVID-19 Clinical Research Studies
Type
article
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article

A Multi-Machine Learning Consensus Model Based on Clinical Features Reveals That Interleukin-10 Derived from Monocytes Leads to a Poor Prognosis in Patients with Coronavirus Disease-2019

Zhixiong Ye, Yadong Yuan, Yiming Ma, Wensen Pan et al.
Journal of Inflammation Research
COVID-19 Clinical Research Studies
article

A Multi-Machine Learning Consensus Model Based on Clinical Features Reveals That Interleukin-10 Derived from Monocytes Leads to a Poor Prognosis in Patients with Coronavirus Disease-2019

Zhixiong Ye, Yadong Yuan, Yiming Ma, Wensen Pan, Linlin Fu, Kun Tang, Yike Zhang, Jing Yu, Tongtong Cui, Hening Kang
article en

Abstract

The CRM provides accurate prognostic predictions for COVID-19 patients. Additionally, the study underscores the importance of early IL-10 level testing upon hospital admission, which could inform therapeutic strategies.

Journal of Inflammation ResearchVol. Volume 17
Hebei Medical University (CN), Second Hospital of Hebei Medical University (CN)
No poverty
Openalex Percentile: Top 82%
COVID-19 Clinical Research Studies
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