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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 30513355 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning to anticipate delivery room activity? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22de+l'Espinay+A%22">de l'Espinay A</searchLink>; Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Ecole polytechnique, Paris Saclay University, Palaiseau, France.<br /><searchLink fieldCode="AU" term="%22Sauvage+C%22">Sauvage C</searchLink>; Medical Information Department, Paris Saint Joseph Hospital, Paris, France; Maternity Unit, Paris Saint Joseph Hospital, DHU Risk and Pregnancy, Paris, France.<br /><searchLink fieldCode="AU" term="%22Buronfosse+A%22">Buronfosse A</searchLink>; Medical Information Department, Paris Saint Joseph Hospital, Paris, France.<br /><searchLink fieldCode="AU" term="%22Billuart+O%22">Billuart O</searchLink>; Medical Information Department, Paris Saint Joseph Hospital, Paris, France.<br /><searchLink fieldCode="AU" term="%22Lajonchère+JP%22">Lajonchère JP</searchLink>; Executive Management, Paris Saint Joseph Hospital, Paris, France.<br /><searchLink fieldCode="AU" term="%22Azria+E%22">Azria E</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101701588%22">Journal of gynecology obstetrics and human reproduction</searchLink> [J Gynecol Obstet Hum Reprod] 2019 Mar; Vol. 48 (3), pp. 141-142. <i>Date of Electronic Publication: </i>2018 Dec 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Editorial – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Masson+SAS%22">Elsevier Masson SAS </searchLink><i>Country of Publication: </i>France <i>NLM ID: </i>101701588 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-7847 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224687847%22">24687847 </searchLink><i>NLM ISO Abbreviation: </i>J Gynecol Obstet Hum Reprod |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=30513355 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jogoh.2018.11.012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 141 Titles: – TitleFull: Machine learning to anticipate delivery room activity? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: de l'Espinay A – PersonEntity: Name: NameFull: Sauvage C – PersonEntity: Name: NameFull: Buronfosse A – PersonEntity: Name: NameFull: Billuart O – PersonEntity: Name: NameFull: Lajonchère JP – PersonEntity: Name: NameFull: Azria E IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2019 Mar Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 2468-7847 Numbering: – Type: volume Value: 48 – Type: issue Value: 3 Titles: – TitleFull: Journal of gynecology obstetrics and human reproduction Type: main |
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