On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines

On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines

Abstract Preterm birth is a global epidemic affecting millions of mothers across different ethnicities. The cause of the condition remains unknown but has recognised health‐based implications, in addition to financial and economic ones. Machine Learning methods have enabled researchers to combine da...

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Bibliographic Details
Main Authors: Ejay Nsugbe, Jose Javier Reyes‐Lagos, Dawn Adams, Oluwarotimi Williams Samuel
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Healthcare Technology Letters
Subjects:
support vector machines
physiological models
signal classification
medical signal processing
learning (artificial intelligence)
decision support systems
Online Access:https://doi.org/10.1049/htl2.12044

Internet

https://doi.org/10.1049/htl2.12044

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