Machine Learning Algorithm to Predict Acidemia Using Electronic Fetal Monitoring Recording Parameters.
Javier Esteban-EscañoBerta CastánSergio CastánMarta Chóliz-EzquerroCésar AsensioAntonio R LalienaGerardo Sanz-EnguitaGerardo SanzLuis Mariano EstebanRicardo Savirón CornudellaPublished in: Entropy (Basel, Switzerland) (2021)
The combination of the variables extracted from EFM recording provided a predictive model of acidemia that showed good accuracy and provides a practical tool to prevent unnecessary cesarean sections.