Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings

Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings

Abstract Background Device-related pressure injury (DRPI) is a prevalent and severe problem for patients using medical devices. Timely identification of patients at high risk of DRPI is crucial for healthcare providers to make informed decisions and prevent DRPI quickly. Given the rapid advancements...

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Bibliographic Details
Main Authors: Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Device-Related Pressure Injury
Pressure Ulcer
Machine learning
Explainable artificial intelligence
Forecasting
Online Access:https://doi.org/10.1186/s12911-025-03090-9
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https://doi.org/10.1186/s12911-025-03090-9

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