Use of a Deep Learning Approach for the Sensitive Prediction of Hepatitis B Surface Antigen Levels in Inactive Carrier Patients

Deep learning is a subset of machine learning that can be employed to accurately predict biological transitions. Eliminating hepatitis B surface antigens (HBsAgs) is the final therapeutic endpoint for chronic hepatitis B. Reliable predictors of the disappearance or reduction in HBsAg levels have not...

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Detalles Bibliográficos
Autores principales: Kamimura, Hiroteru, Nonaka, Hirofumi, Mori, Masaya, Kobayashi, Taichi, Setsu, Toru, Kamimura, Kenya, Tsuchiya, Atsunori, Terai, Shuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779966/
https://www.ncbi.nlm.nih.gov/pubmed/35054079
http://dx.doi.org/10.3390/jcm11020387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779966/
https://www.ncbi.nlm.nih.gov/pubmed/35054079
http://dx.doi.org/10.3390/jcm11020387

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