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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Autors principals:	Lin-Yu Wang, Lin-Yen Wang, Mei-I Sung, I-Chun Lin, Chung-Feng Liu, Chia-Jung Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-07-01
Col·lecció:	Diagnostics
Matèries:	neonatal hypoglycemia term late preterm prediction model machine learning explainability
Accés en línia:	https://www.mdpi.com/2075-4418/14/14/1571
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