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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...
שמור ב:
| הוצא לאור ב: | PLoS One |
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| Main Authors: | , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7644079/ https://ncbi.nlm.nih.gov/pubmed/33152046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0242028 |
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