Development of a machine learning-based nomogram for predicting atherosclerosis risk in patients with systemic lupus erythematosus

Key Points

• The aim is to create a prediction model for atherosclerosis risk in patients with systemic lupus erythematosus.
• Conducted an exploratory, hypothesis-generating study
• Developed a machine learning-based nomogram
• Performed internal validation of the prediction model
• The model provides interpretable predictions for atherosclerosis risk
• Emphasizes the need for external validation in independent cohorts before clinical use