Complete blood count as a biomarker for preeclampsia with severe features diagnosis: a machine learning approach

• Autores principales: Daniella Castro Araújo (Autor), Alexandre Afonso de Macedo (Autor), Adriano Alonso Veloso (Autor), Patricia Nessralla Alpoim (Autor), Karina Braga Gomes (Autor), Maria das Graças Carvalho (Autor), Luci Maria SantAna Dusse (Autor)
• Formato: Libro
• Publicado: BMC, 2024-10-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

Abstract Objective This study introduces the complete blood count (CBC), a standard prenatal screening test, as a biomarker for diagnosing preeclampsia with severe features (sPE), employing machine learning models. Methods We used a boosting machine learning model fed with synthetic data generated t...