A machine learning-based treatment prediction model using whole genome variants of hepatitis C virus

In recent years, the development of diagnostics using artificial intelligence (AI) has been remarkable. AI algorithms can go beyond human reasoning and build diagnostic models from a number of complex combinations. Using next-generation sequencing technology, we identified hepatitis C virus (HCV) va...

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Detalles Bibliográficos
Autores principales: Haga, Hiroaki, Sato, Hidenori, Koseki, Ayumi, Saito, Takafumi, Okumoto, Kazuo, Hoshikawa, Kyoko, Katsumi, Tomohiro, Mizuno, Kei, Nishina, Taketo, Ueno, Yoshiyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644079/
https://www.ncbi.nlm.nih.gov/pubmed/33152046
http://dx.doi.org/10.1371/journal.pone.0242028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644079/
https://www.ncbi.nlm.nih.gov/pubmed/33152046
http://dx.doi.org/10.1371/journal.pone.0242028

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