Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and populati...

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Detalles Bibliográficos
Autores principales: Wong, Kingsley, Tessema, Gizachew A., Chai, Kevin, Pereira, Gavin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646808/
https://www.ncbi.nlm.nih.gov/pubmed/36352095
http://dx.doi.org/10.1038/s41598-022-23782-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646808/
https://www.ncbi.nlm.nih.gov/pubmed/36352095
http://dx.doi.org/10.1038/s41598-022-23782-w

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