Predicting the risk of spontaneous premature births using clinical data and machine learning

Background:: Spontaneous preterm birth (sPTB) is a worldwide public health issue that affects millions of infants per year and causes long-lasting effects. Prediction of sPTB is critical for clinical management and patient referral to centers capable of treating preterm infants. The outstanding capa...

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Bibliographic Details
Main Authors: Marc Hershey, Heather H. Burris, David Cereceda, C. Nataraj
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822001927