I would like to know which application scenarios need Sequence learning method ( RNN, LSTM, GRU and so on ), such as medical video pattern analysis and time series forecasting for fighting against COVID-19? I wonder in what other scenarios we need to mine time correlation? I specialize in sequence learning. I don't know what I can do more effectively to help more people.
DR SUN!! But, like never before, we are collecting and sharing what we learn about the virus. ... Once a person or group has become infected, we need to predict the risk of that ... the therapies that we're using, are all based on that genome sequence .
https://www.datarevenue.com/en-blog/machine-learning-covid-19
“The question we ask ourselves is, how are the virus sequences different ... They will also learn which parts of the virus are most stable and ... that we have the capability and the capacity in Alberta to contribute to ... key to fighting COVID-19 since it was first detected in Wuhan, China, in late December 2019.
https://www.folio.ca/genome-sequencing-key-to-tracking-combatting-covid-19-virus-u-of-a-researchers/
https://www.hospitaltimes.co.uk/how-genomics-can-help-the-fight-against-covid-19/
Regards--
Yes, indeed. We need sequential models based on panel data and together with regression models we may need other statistical models based on computer vision related databases., before machine learning methods we need a lot of medical data as well numerical & visual data etc.
Follow This Link Please:
https://www.who.int/emergencies/diseases/novel-coronavirus-2019?gclid=Cj0KCQjw6PD3BRDPARIsAN8pHuFdMOyJazEs8UFQy-9f
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