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A Novel Predictive Machine Learning Model Integrating Cytokines in Cervical-Vaginal Mucus Increases the Prediction Rate for Preterm Birth.
Borboa-Olivares, Hector; Rodríguez-Sibaja, Maria Jose; Espejel-Nuñez, Aurora; Flores-Pliego, Arturo; Mendoza-Ortega, Jonatan; Camacho-Arroyo, Ignacio; González-Camarena, Ramón; Echeverría-Arjonilla, Juan Carlos; Estrada-Gutierrez, Guadalupe.
Afiliação
  • Borboa-Olivares H; Community Interventions Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico.
  • Rodríguez-Sibaja MJ; PhD Program in Biological and Health Sciences, Universidad Autónoma Metropolitana, Mexico City 09310, Mexico.
  • Espejel-Nuñez A; Department of Maternal-Fetal Medicine, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico.
  • Flores-Pliego A; Department of Immunobiochemistry, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico.
  • Mendoza-Ortega J; Department of Immunobiochemistry, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico.
  • Camacho-Arroyo I; Department of Bioinformatics and Statistical Analysis, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City 11000, Mexico.
  • González-Camarena R; Unidad de Investigación en Reproducción Humana, Instituto Nacional de Perinatología, Facultad de Química, Universidad Nacional Autónoma de Mexico, Mexico City 11000, Mexico.
  • Echeverría-Arjonilla JC; Department of Health Sciences, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City 09310, Mexico.
  • Estrada-Gutierrez G; Department of Electrical Engineering, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City 09310, Mexico.
Int J Mol Sci ; 24(18)2023 Sep 08.
Article em En | MEDLINE | ID: mdl-37762154
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México