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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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| Publicado no: | Front Pediatr |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | 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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