Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

AbstractGestational diabetes is characterized by hyperglycemia diagnosed during pregnancy. High blood sugar levels are likely to affect both the mother and child. This disease frequently goes undiagnosed due to its fewer prominent symptoms, resulting in severe unmanaged hyperglycemia, obesity, child...

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Bibliographic Details
Main Authors: Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga P., Devadas Bhat, Swathi K. S.
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
Gestational diabetes
explainable artificial intelligence
machine learning
data balancing
synthetic minority oversampling technique with edited nearest neighbor
visceral adipose deposit
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2024.2330266

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