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

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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Bibliographic Details
Main Authors: Jia Liu, ShuYang Dai, Gong Chen, Song Sun, JingYing Jiang, Shan Zheng, YiJie Zheng, Rui Dong
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Pediatrics
Subjects:
biliary atresia
obstructive jaundice
diagnosis
gamma-glutamyl transpeptidase
non-invasive
Online Access:https://www.frontiersin.org/article/10.3389/fped.2020.00409/full

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