A simplified machine learning model utilizing platelet-related genes for predicting poor prognosis in sepsis

BackgroundThrombocytopenia is a known prognostic factor in sepsis, yet the relationship between platelet-related genes and sepsis outcomes remains elusive. We developed a machine learning (ML) model based on platelet-related genes to predict poor prognosis in sepsis. The model underwent rigorous eva...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	Yingying Diao, Yan Zhao, Xinyao Li, Baoyue Li, Ran Huo, Xiaoxu Han
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-11-01
Subjects:	machine learning random forest sepsis prognosis platelet-related genes
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2023.1286203/full