An Explainable Fuzzy Framework for Assessing Preeclampsia Classification

An Explainable Fuzzy Framework for Assessing Preeclampsia Classification

<b>Background:</b> Preeclampsia remains a leading cause of maternal morbidity worldwide. There is a critical need for predictive systems that not only perform accurately but also provide interpretable insights for clinical decision-making. This work introduces SK-MOEFS, an explainable fr...

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Bibliographic Details
Main Authors: Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biomedicines
Subjects:
disorders in pregnancy
preeclampsia
fuzzy systems
explainable machine learning
Online Access:https://www.mdpi.com/2227-9059/13/6/1483
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