<p class="jove_content">This study investigates associations between dietary trace elements and chronic low back pain using NHANES data. Interpretable machine learning models are applied to evaluate predictive performance and identify nutrients associated with reduced risk, providing insights into potential dietary factors linked to low back pain.</p>

prediction-chronic-low-back-pain-risk-based-on-dietary-trace-elements

Prediction of Chronic Low Back Pain Risk Based on Dietary Trace Elements Using Multiple Machine Learning Models and Dual Interpretability Frameworks

The relationship between dietary trace elements and the risk of chronic low back pain (LBP) remains unclear. Data from the National Health and Nutrition ...

Institution - Xiaoshan Hospital of Traditional Chinese Medicine

Articles Published in JoVE