From the Journals

Can AI Predict Preterm Birth in Diabetic, Hypertensive Pregnancies?

Retrospective study finds machine-learning model identifies clinical factors associated with preterm delivery in a high-risk obstetric population.

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  • 1

    Naive Bayes model predicts preterm birth risk in women with GDM and HDP.

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    Study used EMR data from two hospitals in China.

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    257 participants analyzed; model achieved AUC of 0.

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    Key predictors include liver function and vascular stability metrics.

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    Developed SMOTE for class imbalance in predictions.

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    The model has potential for real-time clinical decision-making support.

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    Suggest future validation studies in larger cohorts.

Original Source(s)

Can AI Predict Preterm Birth in Diabetic, Hypertensive Pregnancies?

Retrospective study finds machine-learning model identifies clinical factors associated with preterm delivery in a high-risk obstetric population.

  • by Julia Cipriano, MS, CMPP

  • February 24, 2026

  • 3 min

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