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Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models.
Villalaín, Cecilia; Herraiz, Ignacio; Domínguez-Del Olmo, Paula; Angulo, Pablo; Ayala, José Luis; Galindo, Alberto.
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  • Villalaín C; Fetal Medicine Unit, Department of Obstetrics and Gynecology, University Hospital "12 de Octubre", Research Institute Hospital 12 de Octubre (imas12), Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS Network), Complutense Univers
  • Herraiz I; Fetal Medicine Unit, Department of Obstetrics and Gynecology, University Hospital "12 de Octubre", Research Institute Hospital 12 de Octubre (imas12), Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS Network), Complutense Univers
  • Domínguez-Del Olmo P; Department of Computer Architecture and Automation, Faculty of Informatics of the Complutense University, Madrid, Spain.
  • Angulo P; Department of Computer Architecture and Automation, Faculty of Informatics of the Complutense University, Madrid, Spain.
  • Ayala JL; Department of Computer Architecture and Automation, Faculty of Informatics of the Complutense University, Madrid, Spain.
  • Galindo A; Fetal Medicine Unit, Department of Obstetrics and Gynecology, University Hospital "12 de Octubre", Research Institute Hospital 12 de Octubre (imas12), Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin (RICORS Network), Complutense Univers
Front Cardiovasc Med ; 9: 910701, 2022.
Article en En | MEDLINE | ID: mdl-35845049
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2022 Tipo del documento: Article