Machine Learning Algorithms Combining Slope Deceleration and Fetal Heart Rate Features to Predict Acidemia
Electronic fetal monitoring (EFM) is widely used in intrapartum care as the standard method for monitoring fetal well-being. Our objective was to employ machine learning algorithms to predict acidemia by analyzing specific features extracted from the fetal heart signal within a 30 min window, with a...
Main Authors: | Luis Mariano Esteban, Berta Castán, Javier Esteban-Escaño, Gerardo Sanz-Enguita, Antonio R. Laliena, Ana Cristina Lou-Mercadé, Marta Chóliz-Ezquerro, Sergio Castán, Ricardo Savirón-Cornudella |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/13/7478 |
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