Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country.
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| Title: | Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country. |
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| Authors: | Torres-Torres J; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico., Villafan-Bernal JR; Laboratory of Immunogenomics and Metabolic Diseases, INMEGEN, Mexico City, Mexico., Martinez-Portilla RJ; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico., Hidalgo-Carrera JA; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico., Estrada-Gutierrez G; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico., Adalid-Martinez-Cisneros R; Servicios de Salud Pública de la Ciudad de México, Mexico City, Mexico., Rojas-Zepeda L; Maternal-Fetal Medicine Department, Instituto Materno Infantil del Estado de México, Toluca, Mexico., Acevedo-Gallegos S; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico., Camarena-Cabrera DM; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico., Cruz-Martínez MY; Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México Campus Norte, Huixquilucan, Mexico., Espino-Y-Sosa S; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico.; Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México Campus Norte, Huixquilucan, Mexico. |
| Source: | Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology [Ultrasound Obstet Gynecol] 2024 Mar; Vol. 63 (3), pp. 350-357. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons, Ltd Country of Publication: England NLM ID: 9108340 Publication Model: Print Cited Medium: Internet ISSN: 1469-0705 (Electronic) Linking ISSN: 09607692 NLM ISO Abbreviation: Ultrasound Obstet Gynecol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37774112 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Torres-Torres+J%22">Torres-Torres J</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Villafan-Bernal+JR%22">Villafan-Bernal JR</searchLink>; Laboratory of Immunogenomics and Metabolic Diseases, INMEGEN, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Martinez-Portilla+RJ%22">Martinez-Portilla RJ</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Hidalgo-Carrera+JA%22">Hidalgo-Carrera JA</searchLink>; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Estrada-Gutierrez+G%22">Estrada-Gutierrez G</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Adalid-Martinez-Cisneros+R%22">Adalid-Martinez-Cisneros R</searchLink>; Servicios de Salud Pública de la Ciudad de México, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Rojas-Zepeda+L%22">Rojas-Zepeda L</searchLink>; Maternal-Fetal Medicine Department, Instituto Materno Infantil del Estado de México, Toluca, Mexico.<br /><searchLink fieldCode="AU" term="%22Acevedo-Gallegos+S%22">Acevedo-Gallegos S</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Camarena-Cabrera+DM%22">Camarena-Cabrera DM</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.<br /><searchLink fieldCode="AU" term="%22Cruz-Martínez+MY%22">Cruz-Martínez MY</searchLink>; Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México Campus Norte, Huixquilucan, Mexico.<br /><searchLink fieldCode="AU" term="%22Espino-Y-Sosa+S%22">Espino-Y-Sosa S</searchLink>; Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.; Obstetrics and Gynecology Department, The American British Cowdray Medical Center, Mexico City, Mexico.; Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México Campus Norte, Huixquilucan, Mexico. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229108340%22">Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology</searchLink> [Ultrasound Obstet Gynecol] 2024 Mar; Vol. 63 (3), pp. 350-357. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons%2C+Ltd%22">John Wiley & Sons, Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9108340 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-0705 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209607692%22">09607692 </searchLink><i>NLM ISO Abbreviation: </i>Ultrasound Obstet Gynecol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37774112 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/uog.27510 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 350 Titles: – TitleFull: Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Torres-Torres J – PersonEntity: Name: NameFull: Villafan-Bernal JR – PersonEntity: Name: NameFull: Martinez-Portilla RJ – PersonEntity: Name: NameFull: Hidalgo-Carrera JA – PersonEntity: Name: NameFull: Estrada-Gutierrez G – PersonEntity: Name: NameFull: Adalid-Martinez-Cisneros R – PersonEntity: Name: NameFull: Rojas-Zepeda L – PersonEntity: Name: NameFull: Acevedo-Gallegos S – PersonEntity: Name: NameFull: Camarena-Cabrera DM – PersonEntity: Name: NameFull: Cruz-Martínez MY – PersonEntity: Name: NameFull: Espino-Y-Sosa S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2024 Mar Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1469-0705 Numbering: – Type: volume Value: 63 – Type: issue Value: 3 Titles: – TitleFull: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Type: main |
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