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An Explainable Maximum Expected Utility-Optimized Ensemble for Early Prediction of Gestational Diabetes Mellitus

2025-12-16

Abstract excerpt

<title>Abstract</title> <p>Gestational Diabetes Mellitus (GDM) is a growing global health concern associated with adverse maternal and neonatal outcomes. Early and accurate prediction of GDM can significantly enhance clinical decision-making and reduce complications. In this study, we present an explainable, Maximum Expected Utility (MEU)-optimized stacking ensemble model for early GDM prediction using structured...

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Literature Corpus work
3624fe24-a973-5f9a-8662-96653aa51c07
DOI
10.21203/rs.3.rs-8277133/v1
Open publication

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An Explainable Maximum Expected Utility-Optimized Ensemble for Early Prediction of Gestational Diabetes MellitusDOI 10.21203/rs.3.rs-8277133/v1
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