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Objectives
To develop a machine‐learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accuracy and potential clinical efficacy in optimizing the use of Cesarean delivery in the context of suspected macrosomia.
Methods
We used electronic health records (EHR) from the Sheba Medical Center in Israel to develop the model (derivation cohort) and...
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