L, S., C, L., X, X., & P, L. (2026). Interpretable machine learning models for predicting cognitive impairment using NHANES neuropsychological tests: Nutritional and sociodemographic associations. Frontiers in nutrition, 12, 1680290. https://doi.org/10.3389/fnut.2025.1680290
Chicago Style (17th ed.) CitationL, Song, Li C, Xiang X, and Lin P. "Interpretable Machine Learning Models for Predicting Cognitive Impairment Using NHANES Neuropsychological Tests: Nutritional and Sociodemographic Associations." Frontiers in Nutrition 12 (2026): 1680290. https://doi.org/10.3389/fnut.2025.1680290.
MLA (9th ed.) CitationL, Song, et al. "Interpretable Machine Learning Models for Predicting Cognitive Impairment Using NHANES Neuropsychological Tests: Nutritional and Sociodemographic Associations." Frontiers in Nutrition, vol. 12, 2026, p. 1680290, https://doi.org/10.3389/fnut.2025.1680290.