Artificial neural network accurately predicts hepatitis B surface antigen seroclearance.

Artificial neural network accurately predicts hepatitis B surface antigen seroclearance.

<h4>Background & aims</h4>Hepatitis B surface antigen (HBsAg) seroclearance and seroconversion are regarded as favorable outcomes of chronic hepatitis B (CHB). This study aimed to develop artificial neural networks (ANNs) that could accurately predict HBsAg seroclearance or seroconve...

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Main Authors: Ming-Hua Zheng, Wai-Kay Seto, Ke-Qing Shi, Danny Ka-Ho Wong, James Fung, Ivan Fan-Ngai Hung, Daniel Yee-Tak Fong, John Chi-Hang Yuen, Teresa Tong, Ching-Lung Lai, Man-Fung Yuen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0099422&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0099422&type=printable

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