Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus

Zhimin Zhang; Ying Feng; Yu Zhang; Xia Li; Yanfei Li; Lulu Sun; Xianying Li; Hui Du; Jingxiao Zhang

doi:10.12659/MSM.944513

11 October 2024 : Clinical Research

Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus

Zhimin Zhang^1ABCDEFG, Ying Feng^1ABCDEF, Yu Zhang^2ABC, Xia Li^1ABC, Yanfei Li^3BCF, Lulu Sun^1BC, Xianying Li^1D, Hui Du^1AEFG, Jingxiao Zhang^1AEFG*

DOI: 10.12659/MSM.944513

Med Sci Monit 2024; 30:e944513

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Figure 5 Clarke error grid analysis with 2 axesFigure depicts the clinical relevance of errors by the recurrent neural network (RNN) model at a 24-h prediction horizon. (Figure was generated using Python software, version 3.12.3, Python Software Foundation).

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Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus

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