Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Oral microbiome and preterm birth
por: Vidmar Šimic, Marijana, et al.
Publicado: (2023) -
Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research
por: Golob, Jonathan L., et al.
Publicado: (2023) -
Microbiome of Saliva and Plaque in Children According to Age and Dental Caries Experience
por: Lee, Eungyung, et al.
Publicado: (2021) -
Preterm Birth Is Correlated With Increased Oral Originated Microbiome in the Gut
por: Yin, Chunhua, et al.
Publicado: (2021) -
The vaginal microbiome and preterm birth
por: Fettweis, Jennifer M., et al.
Publicado: (2019)