Загрузка...
Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model
SARS-CoV-2, a novel coronavirus mostly known as COVID-19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. As of June 15, already more than 7.9 million people have been infected and 432k people died. This RNA virus has the ability to do the mutation in the hum...
Сохранить в:
| Опубликовано в: : | Chaos Solitons Fractals |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier Ltd.
2020
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7293453/ https://ncbi.nlm.nih.gov/pubmed/32565626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2020.110018 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|