Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning

Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning

Background: Traumatic brain injury (TBI) research often focuses on mortality rates or functional recovery, yet the critical need for long-term care among patients dependent on institutional or Respiratory Care Ward (RCW) support remains underexplored. This study aims to address this gap by employing...

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Bibliographic Details
Main Authors: Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
traumatic brain injury
long-term care
machine learning models
predictive analysis
Random Forest
SHAP analysis
Online Access:https://www.mdpi.com/2075-4418/15/1/20
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https://www.mdpi.com/2075-4418/15/1/20

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