Article

Using Machine Learning and Administrative Data to Predict Premature Births

2023-05-03

Abstract excerpt

<h4>Objective: </h4> . To assess the potential of using machine learning and administrative birth data for predicting premature births. <h4>Design: </h4> . The performance of ordinary least square (OLS) and deep neural network (DNN) classifiers for predicting low birth weight (LBW) and preterm birth (PTB) was compared using randomly selected two million birth records from the US CDC between 2016 and 2018. One mil...

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Literature Corpus work: 7838e265-f9d3-5302-8134-202da44b9b66
DOI: 10.22541/au.168310637.76115942/v1

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