Predicting adverse pregnancy outcome in Rwanda using machine learning techniques.

Predicting adverse pregnancy outcome in Rwanda using machine learning techniques.

<h4>Background</h4>Adverse pregnancy outcomes pose significant risk to maternal and neonatal health, contributing to morbidity, mortality, and long-term developmental challenges. This study aimed to predict these outcomes in Rwanda using supervised machine learning algorithms.<h4>M...

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Bibliographic Details
Main Authors: Theogene Kubahoniyesu, Ignace Habimana Kabano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0312447
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