Data-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach-Reference-Cited by-同舟云学术

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

Published:2021-11 Issue: Volume:3 Page:100053
ISSN:2667-193X
Container-title:The Lancet Regional Health - Americas
language:en
Short-container-title:The Lancet Regional Health - Americas

Author:

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^ORCID,Costa Dalton Breno,Campos Marcos Adriano Garcia,da Silva Antônio Augusto Moura,Staton Catherine,Vissoci João Ricardo Nickenig

Publisher

Elsevier BV

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4. Epidemiology of preterm birth;Purisch;Semin. Perinatol.,2017

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