An integrated AI approach to predict potential influenza variants
A procedure involving several elements from biology, artificial intelligence, statistics, and mathematics to forecast influenza A variants to a very short term is proposed. This new mechanism tackles the huge complexity of this kind of forecast in a systematic way. Results show forecasts of both rec...
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| Format: | article |
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2024
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| Online Zugang: | https://repositorio.puce.edu.ec/handle/123456789/45044 |
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