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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-01-01
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Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914822001927 |