Supplementary file 1_Development and evaluation of a machine learning based risk prediction model for osteoporosis.docx

This study aims to evaluate the level of cytokines and other common blood biomarkers, and establish a machine learning-based risk prediction model for osteoporosis patients.</p>Methods<p>The clinical data of patients with osteoporosis who were hospitalized in the Seventh Medical Center of the Chinese People’s Liberation Army General Hospital from January 2023 to September 2024 were retrospectively collected. 16 cytokines and other potential predictive variables were analyzed to determine the independent risk factors.

Eleven machine learning models were established, and the performance of the models was evaluated using the ROC curve, the PR curve and the confusion matrix, and the optimal model was selected. SHAP to provide insights into the model’s predictions and construct a visual representation of the prediction model.</p>Results<p>A total of 187 patients were included, and 16 characteristics such as IL-8 were identified as risk characteristics.