A fullstack AI-powered web application to assess fall risk in patients with Parkinson's Disease.
-
Updated
Aug 8, 2025 - Jupyter Notebook
A fullstack AI-powered web application to assess fall risk in patients with Parkinson's Disease.
Walkers & rollators in 2025 — quick guides, HowTo fit steps, and curated links to Walkers4Seniors.com.
Analysis of Parkinson’s patients to explore how dopaminergic medication dose (LEDD) affects gait and fall risk. Combining causal inference (IPTW) with machine learning (XGBoost, logistic models), we reveal that high LEDD improves some gait metrics but increases fall risk, highlighting a clinical trade-off.
Add a description, image, and links to the falls-prevention topic page so that developers can more easily learn about it.
To associate your repository with the falls-prevention topic, visit your repo's landing page and select "manage topics."