Comprehensive Machine Learning-Based Prediction Model for Delirium Risk in Older Patients with Dementia: Risk Factors Identification.
Journal:
Clinical interventions in aging
Published Date:
May 15, 2025
Abstract
BACKGROUND: Delirium superimposed on dementia (DSD) is a severe complication in older adults with dementia, marked by fluctuating cognition, inattention, and altered consciousness. Detection is challenging due to symptom overlap, yet it contributes to cognitive decline, prolonged hospitalization, and increased mortality. Identifying key risk factors and developing an accurate prediction model is crucial for timely intervention. This study aimed to establish a machine learning-based model to predict delirium risk, focusing on significant predictors to aid clinical decision-making.