An interpretable machine-learning model for predicting the efficacy of nonsteroidal anti-inflammatory drugs for closing hemodynamically significant patent ductus arteriosus in preterm infants

BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been widely used in the closure of ductus arteriosus in premature infants. We aimed to develop and validate an interpretable machine-learning model for predicting the efficacy of NSAIDs for closing hemodynamically significant patent duct...

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Detalles Bibliográficos
Autores principales: Liu, Tai-Xiang, Zheng, Jin-Xin, Chen, Zheng, Zhang, Zi-Chen, Li, Dan, Shi, Li-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110971/
https://www.ncbi.nlm.nih.gov/pubmed/37082702
http://dx.doi.org/10.3389/fped.2023.1097950

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110971/
https://www.ncbi.nlm.nih.gov/pubmed/37082702
http://dx.doi.org/10.3389/fped.2023.1097950

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