Predicting vaginal birth after previous cesarean: Using machine‐learning models and a population‐based cohort in Sweden

INTRODUCTION: Predicting a woman’s probability of vaginal birth after cesarean could facilitate the antenatal decision‐making process. Having a previous vaginal birth strongly predicts vaginal birth after cesarean. Delivery outcome in women with only a cesarean delivery is more unpredictable. Theref...

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Detalles Bibliográficos
Autores principales: Lindblad Wollmann, Charlotte, Hart, Kyle D., Liu, Can, Caughey, Aaron B., Stephansson, Olof, Snowden, Jonathan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Birth
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048592/
https://www.ncbi.nlm.nih.gov/pubmed/33031579
http://dx.doi.org/10.1111/aogs.14020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048592/
https://www.ncbi.nlm.nih.gov/pubmed/33031579
http://dx.doi.org/10.1111/aogs.14020

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