Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES.

Checking your browser - reCAPTCHA Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.

Related documents

• Identification of Potential Key Biomarkers for Comorbid Depression and Obesity Through Integrated Bioinformatics Analysis and Experimental Verification.#1068711
• Effect Of A Weight-Loss Intervention On Oxidative Stress Biomarkers Among Breast Cancer Survivors In The Lifestyle, Exercise, And Nutrition (lean) Study#167498
• Social Data Commons: Health#1028141
• Activity-function transitions and interpretable machine learning for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults: a multi-cohort study.#1000942
• Frequency of fruit and vegetables consumption by level of disability (activity limitation), sex and age#815260