Data-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach

BACKGROUND: Preterm birth (PTB) is a growing health issue worldwide, currently considered the leading cause of newborn deaths. To address this challenge, the present work aims to develop an algorithm capable of accurately predicting the week of delivery supporting the identification of a PTB in Braz...

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Detalles Bibliográficos
Autores principales: Rocha, Thiago Augusto Hernandes, de Thomaz, Erika Bárbara Abreu Fonseca, de Almeida, Dante Grapiuna, da Silva, Núbia Cristina, Queiroz, Rejane Christine de Sousa, Andrade, Luciano, Facchini, Luiz Augusto, Sartori, Marcos Luiggi Lemos, Costa, Dalton Breno, Campos, Marcos Adriano Garcia, da Silva, Antônio Augusto Moura, Staton, Catherine, Vissoci, João Ricardo Nickenig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904131/
https://www.ncbi.nlm.nih.gov/pubmed/36777406
http://dx.doi.org/10.1016/j.lana.2021.100053

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