Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana

Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana

Abstract Background Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robust approach to predicting/diagnosing a heal...

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Main Authors: Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Pregnancy and Childbirth
Subjects:
Accuracy
Caesarean section
Ghana
Machine learning
Prediction
Pregnant women
Online Access:https://doi.org/10.1186/s12884-025-07716-8
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https://doi.org/10.1186/s12884-025-07716-8

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