Diagnostic Value and Effectiveness of an Artificial Neural Network in Biliary Atresia

Objectives: Biliary atresia (BA) is a devastating pediatric liver disease. Early diagnosis is important for timely intervention and better prognosis. Using clinical parameters for non-invasive and efficient BA diagnosis, we aimed to establish an artificial neural network (ANN). Methods: A total of 2...

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Detalles Bibliográficos
Autores principales: Liu, Jia, Dai, ShuYang, Chen, Gong, Sun, Song, Jiang, JingYing, Zheng, Shan, Zheng, YiJie, Dong, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438882/
https://www.ncbi.nlm.nih.gov/pubmed/32903817
http://dx.doi.org/10.3389/fped.2020.00409

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438882/
https://www.ncbi.nlm.nih.gov/pubmed/32903817
http://dx.doi.org/10.3389/fped.2020.00409

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