Bayesian latent-variable framework for gait instability and fall susceptibility in Parkinson’s disease
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Updated
Mar 11, 2026 - Jupyter Notebook
Bayesian latent-variable framework for gait instability and fall susceptibility in Parkinson’s disease
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.
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