Meng, X.; Fang, Y.; Zhang, S.; Huang, P.; Wen, J.; Peng, J.; Yang, X.; Ji, G.; Wu, W.
Interpretable Machine Learning Identification of Dietary and Metabolic Factors for Metabolic Syndrome in Southern China: A Cross-Sectional Study. Nutrients 2025, 17, 3368.
https://doi.org/10.3390/nu17213368
AMA Style
Meng X, Fang Y, Zhang S, Huang P, Wen J, Peng J, Yang X, Ji G, Wu W.
Interpretable Machine Learning Identification of Dietary and Metabolic Factors for Metabolic Syndrome in Southern China: A Cross-Sectional Study. Nutrients. 2025; 17(21):3368.
https://doi.org/10.3390/nu17213368
Chicago/Turabian Style
Meng, Xi, Yiting Fang, Shuaijing Zhang, Panpan Huang, Jian Wen, Jiewen Peng, Xingfen Yang, Guiyuan Ji, and Wei Wu.
2025. "Interpretable Machine Learning Identification of Dietary and Metabolic Factors for Metabolic Syndrome in Southern China: A Cross-Sectional Study" Nutrients 17, no. 21: 3368.
https://doi.org/10.3390/nu17213368
APA Style
Meng, X., Fang, Y., Zhang, S., Huang, P., Wen, J., Peng, J., Yang, X., Ji, G., & Wu, W.
(2025). Interpretable Machine Learning Identification of Dietary and Metabolic Factors for Metabolic Syndrome in Southern China: A Cross-Sectional Study. Nutrients, 17(21), 3368.
https://doi.org/10.3390/nu17213368