Using machine learning models to predict HBeAg seroconversion in CHB patients receiving pegylated interferon‐α monotherapy

BACKGROUND AND OBJECTIVE: Though there are many advantages of pegylated interferon‐α (PegIFN‐α) treatment to chronic hepatitis B (CHB) patients, the response rate of PegIFN‐α is only 30 ~ 40%. Therefore, it is important to explore predictors at baseline and establish models to improve the response r...

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Detalles Bibliográficos
Autores principales: Shang, Hongyan, Hu, Yuhai, Guo, Hongyan, Lai, Ruimin, Fu, Ya, Xu, Siyi, Zeng, Yongbin, Xun, Zhen, Liu, Can, Wu, Wennan, Guo, Jianhui, Ou, Qishui, Chen, Tianbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701889/
https://www.ncbi.nlm.nih.gov/pubmed/36181316
http://dx.doi.org/10.1002/jcla.24667

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701889/
https://www.ncbi.nlm.nih.gov/pubmed/36181316
http://dx.doi.org/10.1002/jcla.24667

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