TY  - JOUR
AU  - Esteban, Luis Mariano
AU  - Castán, Berta
AU  - Esteban Escaño, Javier
AU  - Sanz Enguita, Gerardo
AU  - Laliena, Antonio R.
AU  - Lou Mercadé, Ana Cristina
AU  - Chóliz Ezquerro, Marta
AU  - Castán, Sergio
AU  - Savirón Cornudella, Ricardo
PY  - 2023
DO  - 10.3390/app13137478
SN  - 2076-3417
UR  - https://hdl.handle.net/20.500.14352/110753
T2  - Applied Sciences
AB  - 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...
LA  - eng
M2  - 1
PB  - MDPI
KW  - Electronic fetal monitoring
KW  - Fetal heart rate
KW  - Acidemia
KW  - Machine learning
KW  - Clinical utility curve
TI  - Machine Learning Algorithms Combining Slope Deceleration and Fetal Heart Rate Features to Predict Acidemia
TY  - journal article
VL  - 13
ER  -