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

Villalaín, Cecilia; Herraiz, Ignacio; Domínguez-Del Olmo, Paula; Angulo, Pablo; Ayala, José Luis; Galindo, Alberto.

Afiliação

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 em En | MEDLINE | ID: mdl-35845049

Palavras-chave

HELLP syndrome; machine-learning; placental abruption; prediction; preeclampsia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2022 Tipo de documento: Article

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