Machine learning to anticipate delivery room activity?
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| Title: | Machine learning to anticipate delivery room activity? |
|---|---|
| Authors: | de l'Espinay A; Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Ecole polytechnique, Paris Saclay University, Palaiseau, France., Sauvage C; Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France., Buronfosse A; Medical Information Department, Paris Saint Joseph Hospital, Paris, France., Billuart O; Medical Information Department, Paris Saint Joseph Hospital, Paris, France., Lajonchère JP; Executive Management, Paris Saint Joseph Hospital, Paris, France., Azria E; 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. |
| Source: | Journal of gynecology obstetrics and human reproduction [J Gynecol Obstet Hum Reprod] 2019 Mar; Vol. 48 (3), pp. 141-142. Date of Electronic Publication: 2018 Dec 01. |
| Publication Type: | Editorial |
| Journal Info: | Publisher: Elsevier Masson SAS Country of Publication: France NLM ID: 101701588 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2468-7847 (Electronic) Linking ISSN: 24687847 NLM ISO Abbreviation: J Gynecol Obstet Hum Reprod |
| Database: | MEDLINE Ultimate |
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