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Explainable Fall Risk Prediction in Older Adults U by Devesh Patel is a document available to read on EtoBox.
What is Explainable Fall Risk Prediction in Older Adults U about?
This research presents a machine learning model for predicting fall risk in older adults using gait measurements and various geriatric assessments. The model achieved an AUC of 0.80, indicating good predictive performance, and utilizes SHAP values to explain individual predictions, allowing for personalized health interventions. The study emphasizes the importance of early fall risk identification to enable timely caregiver interventions for older adults aged 65 and above.
- Author
- Devesh Patel
- Language
- EN