Early gestational diabetes mellitus risk predictor using neural network with NearMiss

Gestational diabetes mellitus (GDM) is globally recognized as a significant pregnancy-related condition, contributing to complex complications for both mothers and infants. Traditional glucose tolerance tests lack the ability to identify the risk of GDM in early pregnancy, hindering effective preven...

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Veröffentlicht in:	Gynecological endocrinology Jg. 41; H. 1; S. 2470317
Hauptverfasser:	Zhao, Min, Su, Xiaojie, Huang, Lihong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Taylor & Francis Group 01.12.2025
Schlagworte:	Adult Diabetes, Gestational - diagnosis Diabetes, Gestational - epidemiology Female Gestational diabetes mellitus Glucose Tolerance Test Humans logistic regression NearMiss neural network algorithms Neural Networks, Computer Pregnancy Risk Assessment - methods Risk Factors Gestational diabetes mellitus logistic regression NearMiss neural network algorithms
ISSN:	0951-3590, 1473-0766, 1473-0766
Online-Zugang:	Volltext
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