- 🧬 **Machine Learning Models**: Developed to predict the risk of proliferative lupus nephritis (PLN) in patients with systemic lupus erythematosus (SLE) using various physiological and biochemical indicators.
- 🩺 **Classification of Lupus Nephritis**: Lupus nephritis is classified into proliferative (PLN) and non-proliferative types (NPLN), with PLN being more severe and associated with a higher risk of end-stage renal disease (ESRD).
- 🔍 **Importance of Early Diagnosis**: Rapid diagnosis and targeted treatment for PLN are crucial for improving patient prognosis, but traditional renal biopsy methods can be invasive and risky.
- 📊 **Predictor Variables Identified**: The study identified 11 key predictor variables, including blood pressure, serum creatinine, and anti-dsDNA levels, using logistic regression and LASSO variable selection.
- 🌟 **Non-Invasive Alternatives**: The machine learning models offer promising non-invasive diagnostic methods that could serve as reliable alternatives to renal biopsy, especially for patients who cannot undergo the procedure.