Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study
Journal of Medical Internet Research2025Vol. 27, pp. e70068–e70068
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Abstract
The study successfully developed a model that accurately predicts FGR development in patients with preeclampsia. The SHAP method captures highly relevant risk factors for model interpretation, alleviating concerns about the "black box" problem of ML techniques.
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