
A recent study aims to predict low birth weight by developing and validating a nomogram, utilizing variables like gestational age, haemoglobin levels, primigravida status, unplanned pregnancies, and preeclampsia. Based on a binary logistic model, the nomogram exhibited an AUROC of 84.3% and 80.1% internal validation. With strong discrimination performance and clinical benefit, the nomogram provides a rapid, personalized prediction tool for clinicians, aiding early identification and intervention.
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