Data-driven identification of metabolic and cardiovascular biomarkers in high-altitude workers: a machine learning approach

ML models can effectively identify critical health indicators related to FFW in high-altitude environments. These tools offer the potential to improve occupational health assessments and support preventive decision making in vulnerable worker populations.