Early detection of low lean mass in adults using machine learning: a primary care-oriented approach

Machine learning models using simple and low-cost predictors can estimate the probability of LLM with acceptable discrimination. The proposed model may assist primary care clinicians in risk stratification once externally validated. Further work is needed to establish operational thresholds and evaluate real-world clinical utility.