Article

Machine Learning Estimation of Gestational Age at Delivery Using Linked Mother-Infant Electronic Health Records Across Two Health Systems

2026-05-25

Abstract excerpt

<h4>Objective</h4> This study aimed to train and evaluate supervised machine learning walgorithms using electronic health record (EHR) data to accurately estimate gestational age at delivery. <h4>Materials and Methods</h4> We trained random forest, gradient boosting, and ensemble models on EHR data of mother-infant dyads from Vanderbilt University Medical Center(VUMC) and replicated the analyses at University of...

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Literature Corpus work: da8be7c0-6005-55f9-8215-9e95d34910c2
DOI: 10.64898/2026.05.23.26353959

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