Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm

Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm

Sepsis-associated thrombocytopenia (SAT) is a common complication in the intensive care unit (ICU), which significantly increases the mortality rate and leads to poor prognosis of diseases. Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to estab...

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Bibliographic Details
Main Authors: Xuandong Jiang, Yun Wang, Yuting Pan, Weimin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Medicine
Subjects:
sepsis-associated thrombocytopenia
intensive care unit
machine learning
artificial intelligence
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.837382/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.837382/full

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