Article Versions Notes

Kim Y, Kim Y, Hwang J, van den Broek TJ, Oh B, Kim JY, Wopereis S, Bouwman J, Kwon O. A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data. Antioxidants. 2021; 10(7):1132. https://doi.org/10.3390/antiox10071132

Kim, Youjin, Yunsoo Kim, Jiyoung Hwang, Tim J. van den Broek, Bumjo Oh, Ji Yeon Kim, Suzan Wopereis, Jildau Bouwman, and Oran Kwon. 2021. "A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data" Antioxidants 10, no. 7: 1132. https://doi.org/10.3390/antiox10071132

Kim, Y., Kim, Y., Hwang, J., van den Broek, T. J., Oh, B., Kim, J. Y., Wopereis, S., Bouwman, J., & Kwon, O. (2021). A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data. Antioxidants, 10(7), 1132. https://doi.org/10.3390/antiox10071132