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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...
שמור ב:
| הוצא לאור ב: | Acta Obstet Gynecol Scand |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
John Wiley and Sons Inc.
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8048592/ https://ncbi.nlm.nih.gov/pubmed/33031579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/aogs.14020 |
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