A study published in BMC Psychiatry illustrates how machine learning models, particularly XGBoost, were applied to NHANES data to predict depressive symptoms in cognitively impaired older adults. Researchers identified key predictors such as general health and memory difficulties. This research offers a practical framework for early screening and intervention in geriatric mental health.