Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit

Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit

Abstract pressure injuries are significant concern for ICU patients on mechanical ventilation. Early prediction is crucial for enhancing patient outcomes and reducing healthcare costs. This study aims to develop a predictive model using machine learning techniques, specifically XGBoost combined with...

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Bibliographic Details
Main Authors: Li Zheng, Yu-juan Xue, Zhen-nan Yuan, Xue-zhong Xing
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Pressure ulcer
Mechanical ventilation
XGBoost
Online Access:https://doi.org/10.1038/s41598-025-92848-2
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https://doi.org/10.1038/s41598-025-92848-2

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