Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization--XGBoost machine learning model can be interpreted based on SHAP.

Journal: Intensive & critical care nursing

Published Date: May 2, 2024

Abstract

BACKGROUND: The occurrence of pressure injury in patients with diabetes during ICU hospitalization can result in severe complications, including infections and non-healing wounds.

Authors

Jie Xu

Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310000, China.
Tie Chen

Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Xixi Fang

Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
LiMin Xia

Shanghai Institute of Cardiovascular Disease.
Xiaoyun Pan

The First School of Medicine.

Keywords

Adult Aged Diabetes Mellitus Female Hospitalization Humans Incidence Intensive Care Units Machine Learning Male Middle Aged Predictive Value of Tests Pressure Ulcer ROC Curve

External Resources

View on PubMed Access via DOI PubMed (38701634)

Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization--XGBoost machine learning model can be interpreted based on SHAP.

Abstract

Authors

Keywords

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