Predicting preterm birth using machine learning techniques in oral microbiome

Preterm birth prediction is essential for improving neonatal outcomes. While many machine learning techniques have been applied to predict preterm birth using health records, inflammatory markers, and vaginal microbiome data, the role of prenatal oral microbiome remains unclear. This study aimed to...

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Detalles Bibliográficos
Autores principales: Hong, You Mi, Lee, Jaewoong, Cho, Dong Hyu, Jeon, Jung Hun, Kang, Jihoon, Kim, Min-Gul, Lee, Semin, Kim, Jin Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689490/
https://www.ncbi.nlm.nih.gov/pubmed/38036587
http://dx.doi.org/10.1038/s41598-023-48466-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689490/
https://www.ncbi.nlm.nih.gov/pubmed/38036587
http://dx.doi.org/10.1038/s41598-023-48466-x

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