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

• Main Authors: Youjin Kim (Author), Yunsoo Kim (Author), Jiyoung Hwang (Author), Tim J. van den Broek (Author), Bumjo Oh (Author), Ji Yeon Kim (Author), Suzan Wopereis (Author), Jildau Bouwman (Author), Oran Kwon (Author)
• Format: Book
• Published: MDPI AG, 2021-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Oxidative stress aggravates the progression of lifestyle-related chronic diseases. However, knowledge and practices that enable quantifying oxidative stress are still lacking. Here, we performed a proof-of-concept study to predict the oxidative stress status in a healthy population using retrospecti...