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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...
Autores principales: | Liu, Tai-Xiang, Zheng, Jin-Xin, Chen, Zheng, Zhang, Zi-Chen, Li, Dan, Shi, Li-Ping |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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