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 4 The relative importance of the calculated input variables in predicting the hypoglycemia in the first 24 hours of lifeThe global sensitivity analysis shows the percentage contribution of the input variables for predicting the hypoglycemia in the first 24 h of life using the artificial neural network (ANN) model. (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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