Machine learning model to predict and prevent the dangerous virus. Is there is any geospetial technology behind it
Hello Debashis De
Hope this may help you:
https://towardsdatascience.com/machine-learning-methods-to-aid-in-coronavirus-response-70df8bfc7861
Regards
I recommended
https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
https://cran.r-project.org/package=coronavirus
https://towardsdatascience.com/chasing-the-data-coronavirus-802d8a1c4e9a
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30026-1/fulltext
https://www.reddit.com/r/datasets/comments/eu6vlf/any_suggestions_for_getting_corona_virus_data/
Катастрофа наступает тогда когда количество вновь заболевших больше оставшихся свободных коек и вновь прибывших просто не лечат.
To predict the spread of coronovirus it is necessary to take into account two periods when the number of available beds corresponds to incoming patients and when a disaster occurs i.e. infected people have nowhere to go and they are simply not treated and they lie on the floor in the street and freely spread the infection.
In my neuroinformational system "NeuroFinExpert" analysis of the financial state of enterprises, I analyzed internal and external factors affecting it,as well as elements of support from the state, and this formed a training and test sample of analysis and forecasting of financial stability.But when this system is broken and people have already been abandoned and are not treated as in Spain and Italy , there is nothing to predict, from 5 to 9% of the number of infected people will die, and the number of infected will increase at the same rate.
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