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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...
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| 出版年: | Chaos Solitons Fractals |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier Ltd.
2020
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| 主題: | |
| オンライン･アクセス: | 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 |
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