Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest

Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest

IntroductionMaternal health is a critical aspect of public health that affects the wellbeing of both mothers and infants. Despite medical advancements, maternal mortality rates remain high, particularly in developing countries. AI-based models provide new ways to analyze and interpret medical data,...

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Bibliographic Details
Main Authors: Taofeeq Oluwatosin Togunwa, Abdulhammed Opeyemi Babatunde, Khalil-ur-Rahman Abdullah
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
maternal health
artificial neural networks
random forest
deep learning
machine learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1213436/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2023.1213436/full

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