Artificial intelligence models for predicting the mode of delivery in maternal care

Artificial intelligence models for predicting the mode of delivery in maternal care

<h3>Background</h3><p dir="ltr">Accurate prediction of the mode of delivery is critical in maternal care to improve prenatal counseling, optimize clinical decision-making, and reduce maternal and neonatal complications. </p><h3>Objectives</h3><p dir=&...

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Bibliographic Details
Main Author: Rawan AlSaad (14159019) (author)
Other Authors: Thomas Farrell (3933833) (author), Joy Dela Cruz (21399260) (author), Alaa Abd-Alrazaq (17430900) (author), Rajat Thomas (21399263) (author), Javaid Sheikh (5534825) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Reproductive medicine
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Pregnancy
Cesarean
Vaginal birth
Maternal
Mode of delivery
Women's health
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