Biological signatures and prediction of an immunosuppressive status—persistent critical illness—among orthopedic trauma patients using machine learning techniques

Biological signatures and prediction of an immunosuppressive status—persistent critical illness—among orthopedic trauma patients using machine learning techniques

BackgroundPersistent critical illness (PerCI) is an immunosuppressive status. The underlying pathophysiology driving PerCI remains incompletely understood. The objectives of the study were to identify the biological signature of PerCI development, and to construct a reliable prediction model for pat...

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Bibliographic Details
Main Authors: Mingxing Lei, Zhencan Han, Shengjie Wang, Chunxue Guo, Xianlong Zhang, Ya Song, Feng Lin, Tianlong Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Immunology
Subjects:
machine learning
persistent critical illness
biological signature
lymphocytes
immunosuppression
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.979877/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.979877/full

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