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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A Naive Bayes-based machine-learning model has been developed to predict preterm birth in pregnant women suffering from both gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP). Conducted by Kang et al., this dual-center study utilized electronic medical records from 257 pregnant women in China, demonstrating the model's strong predictive capabilities with an area under the curve (AUC) of 0.777. The study highlights the importance of tailored predictive tools for high-risk obstetric populations, aiming to enhance individualized risk management practices.

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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