Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal Hypoglycemia

Hypoglycemia is a common metabolic disorder that occurs in the neonatal period. Early identification of neonates at risk of developing hypoglycemia can optimize therapeutic strategies in neonatal care. This study aims to develop a machine learning model and implement a predictive application to assi...

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Hlavní autoři:	Lin-Yu Wang, Lin-Yen Wang, Mei-I Sung, I-Chun Lin, Chung-Feng Liu, Chia-Jung Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-07-01
Edice:	Diagnostics
Témata:	neonatal hypoglycemia term late preterm prediction model machine learning explainability
On-line přístup:	https://www.mdpi.com/2075-4418/14/14/1571
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