Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries

The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring methods and to the emergence of alternative methods of delivery...

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Veröffentlicht in:	American journal of obstetrics and gynecology 2020-09, Vol.223 (3), p.437.e1-437.e15
Hauptverfasser:	Guedalia, Joshua, Lipschuetz, Michal, Novoselsky-Persky, Michal, Cohen, Sarah M., Rottenstreich, Amihai, Levin, Gabriel, Yagel, Simcha, Unger, Ron, Sompolinsky, Yishai
Format:	Artikel
Sprache:	eng
Schlagworte:	cesarean delivery machine learning obstetrics personalized medicine prediction trial of labor vaginal delivery
Online-Zugang:	Volltext
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