ArticleScientific reports2025
Machine learning prediction models for mode of delivery in prolonged pregnancies in Sweden.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Prediction of low 5-minute Apgar scores: development and internal validation of parity-stratified clinical prediction models for sub-Saharan Africa.BMC pregnancy and childbirth · 2026Article
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5 authors.
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Abstract
Induction of labour and not "expectant management" is often recommended to prevent adverse perinatal outcomes in late-term pregnancies, but no prognostic prediction model exists for an individualized decision-making. The present study used a data-driven approach to predict mode of delivery at or beyond 41 gestational weeks considering the obstetric management. Low-risk nulliparous women were derived from the nationwide Swedish Medical Birth Register (1998-2019). A two-day-wise prediction in four study groups with increasing gestational age (e.g. group 1: induced at 41
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