On the Use of Deep Learning Decompositions and Physiological Measurements for the Prediction of Preterm Pregnancies in a Cohort of Patients in Active Labor
Preterm pregnancies are one of the leading causes of morbidity and mortality amongst children under the age of five. This is a global issue and has been identified as an area requiring active research. The emphasis now is to identify and develop methods of predicting the likelihood of preterm birth....
Main Authors: | Ejay Nsugbe, José Javier Reyes-Lagos, Dawn Adams, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Michael Provost |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Engineering Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4591/27/1/20 |
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