- Naive Bayes model predicts preterm birth risk in women with gestational diabetes and hypertensive disorders of pregnancy.
- Study used EMR data from two hospitals in China.
- 257 participants analyzed; model achieved AUC of 0.777.
- Key predictors include liver function and vascular stability metrics.
- Developed SMOTE for class imbalance in predictions.
- The model has potential for real-time clinical decision-making support.
Source: Frontiers in Endocrinology
Can AI Predict Preterm Birth in Diabetic, Hypertensive Pregnancies?
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February 24, 2026