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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/101c2f6e867646469e73a4e00a35bc93
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https://doaj.org/article/101c2f6e867646469e73a4e00a35bc93

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