Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients

Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients

Abstract Background Predicting patient mortality risk facilitates early intervention in intensive care unit (ICU) patients at greater risk of disease progression. This study applies machine learning methods to multidimensional clinical data to dynamically predict mortality risk in ICU patients. Meth...

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Bibliographic Details
Main Authors: Pan Pan, Yue Wang, Chang Liu, Yanhui Tu, Haibo Cheng, Qingyun Yang, Fei Xie, Yuan Li, Lixin Xie, Yuhong Liu
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Journal of Big Data
Subjects:
Real-time prediction
Risk of death
Machine learning
Predictive models
ICU
Online Access:https://doi.org/10.1186/s40537-024-00896-8

Internet

https://doi.org/10.1186/s40537-024-00896-8

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