Prediction of labor onset type: spontaneous vs induced; role of electrohysterography?

Highlights • Machine learning methods for medical labor induction is proposed. • A total of 33 predictive models using obstetrical data and electrophysiological parameters were developed and evaluated. • Electrophysiological parameters must be individually contextualized with patient obstetrical dat...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2017-06, Vol.144, p.127-133
Main Authors: Alberola-Rubio, Jose, Garcia-Casado, Javier, Prats-Boluda, Gema, Ye-Lin, Yiyao, Desantes, Domingo, Valero, Javier, Perales, Alfredo
Format: Article
Language:English
Subjects:
Area Under Curve
Electrohysterogram
Electrophysiological Phenomena
Female
Humans
Internal Medicine
Labor management
Labor Onset
Labor, Induced
Majority voting
Models, Theoretical
Other
Pregnancy
Support Vector Machine
SVM
Uterine Contraction
Uterine Monitoring - methods
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Summary:Highlights • Machine learning methods for medical labor induction is proposed. • A total of 33 predictive models using obstetrical data and electrophysiological parameters were developed and evaluated. • Electrophysiological parameters must be individually contextualized with patient obstetrical data (maternal clinical variables).
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2017.03.018