The relationship between number of pregnancies and serum 25-hydroxyvitamin D levels in women with a prior pregnancy: a cross - sectional analysis, machine learning - based prediction model, and SHAP - assisted feature importance evaluation

In women with a prior pregnancy, an independent inverse association was observed between gravidity and vitamin D status and the XGBoost algorithm demonstrated superior performance in clinically predicting vitamin D levels using common blood test results which may facilitate timely detection and intervention for low serum vitamin D.