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Editorial

. 2019 Mar;48(3):141-142.

doi: 10.1016/j.jogoh.2018.11.012. Epub 2018 Dec 1.

Machine learning to anticipate delivery room activity?

Albane de l'Espinay¹, Catherine Sauvage², Anne Buronfosse³, Olivier Billuart³, Jean-Patrick Lajonchère⁴, Elie Azria⁵

Affiliations

Affiliations

¹ Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Ecole polytechnique, Paris Saclay University, Palaiseau, France.
² Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France.
³ Medical Information Department, Paris Saint Joseph Hospital, Paris, France.
⁴ Executive Management, Paris Saint Joseph Hospital, Paris, France.
⁵ Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France; UMR1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Paris Descartes University, Paris, France. Electronic address: eazria@hpsj.fr.

PMID: 30513355
DOI: 10.1016/j.jogoh.2018.11.012

Editorial

Machine learning to anticipate delivery room activity?

Albane de l'Espinay et al. J Gynecol Obstet Hum Reprod. 2019 Mar.

. 2019 Mar;48(3):141-142.

doi: 10.1016/j.jogoh.2018.11.012. Epub 2018 Dec 1.

Authors

Albane de l'Espinay¹, Catherine Sauvage², Anne Buronfosse³, Olivier Billuart³, Jean-Patrick Lajonchère⁴, Elie Azria⁵

Affiliations

¹ Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Ecole polytechnique, Paris Saclay University, Palaiseau, France.
² Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France.
³ Medical Information Department, Paris Saint Joseph Hospital, Paris, France.
⁴ Executive Management, Paris Saint Joseph Hospital, Paris, France.
⁵ Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France; UMR1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Paris Descartes University, Paris, France. Electronic address: eazria@hpsj.fr.

PMID: 30513355
DOI: 10.1016/j.jogoh.2018.11.012

No abstract available

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