Article Versions Notes

Masi D, Risi R, Biagi F, Vasquez Barahona D, Watanabe M, Zilich R, Gabrielli G, Santin P, Mariani S, Lubrano C, et al. Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome. Nutrients. 2022; 14(2):373. https://doi.org/10.3390/nu14020373

Masi, Davide, Renata Risi, Filippo Biagi, Daniel Vasquez Barahona, Mikiko Watanabe, Rita Zilich, Gabriele Gabrielli, Pierluigi Santin, Stefania Mariani, Carla Lubrano, and et al. 2022. "Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome" Nutrients 14, no. 2: 373. https://doi.org/10.3390/nu14020373

Masi, D., Risi, R., Biagi, F., Vasquez Barahona, D., Watanabe, M., Zilich, R., Gabrielli, G., Santin, P., Mariani, S., Lubrano, C., & Gnessi, L. (2022). Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome. Nutrients, 14(2), 373. https://doi.org/10.3390/nu14020373