Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring

Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring

Asphyxiation associated with metabolic acidosis is one of the common causes of fetal deaths. The paper aims to develop a feature extraction and prediction algorithm capable of identifying most of the features in the SISPORTO software package and late and variable decelerations. The resulting feature...

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Bibliographic Details
Main Authors: Vinayaka Gude, Steven Corns
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
cardiotocography
acidosis
support vector machines
random forests
machine learning
oversampling
Online Access:https://www.mdpi.com/2075-4418/12/11/2843

Internet

https://www.mdpi.com/2075-4418/12/11/2843

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