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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Dettagli Bibliografici
Pubblicato in:Front Pediatr
Autori principali: Liu, Jia, Dai, ShuYang, Chen, Gong, Sun, Song, Jiang, JingYing, Zheng, Shan, Zheng, YiJie, Dong, Rui
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2020
Soggetti:
Pediatrics
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7438882/
https://ncbi.nlm.nih.gov/pubmed/32903817
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fped.2020.00409
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