I've read one article about the Corona Virus Disease, that you can find in this link below
https://www.medrxiv.org/content/10.1101/2020.02.14.20023028v2
They've used DL method to " to extract COVID-19's graphical features and provide a clinical diagnosis ahead of the pathogenic test, thus saving critical time for disease control ".
Therefore, I found that it's interesting to get involved in such a study and try to get a solution for this disease.
Now, I'm looking forward to working with a group of researchers to discover this topic.
IF anyone is interested, please let me know so we can start right away!
Please go through the following links.
https://arxiv.org/ftp/arxiv/papers/2002/2002.09334.pdf
https://www.biorxiv.org/content/10.1101/2020.01.21.914044v2.full.pdf
I think, machine learning algorithms could help with recognition analysis, for example images data (face data sets of such patients, or may be action etc data sets ). However., obtaining such data may be a bit challenge. I think at the moment translation or panel data for regression models are available. However., such data may be processed via already well established algorithms. The models may be parametric, non-parametric or deep learning based is not an issue.
https://www.medrxiv.org/content/medrxiv/early/2020/02/18/2020.02.14.20023028.full.pdf
https://www.medrxiv.org/content/10.1101/2020.02.14.20023028v1.full.pdf
https://www.preprints.org/manuscript/202002.0230/download/final_file
https://www.medrxiv.org/content/medrxiv/early/2020/02/26/2020.02.25.20021568.full.pdf
https://www.biorxiv.org/content/10.1101/2020.02.03.932350v3.full-text
Dear Mokhaled Al-Hamadani,
You can have more data for this project : https://www.kaggle.com/de5d5fe61fcaa6ad7a66/coronavirus-dataset-update-0206
https://www.kaggle.com/sudalairajkumar/covid19-in-italy/tasks
https://www.kaggle.com/imdevskp/covid-19-analysis-viz-prediction-comparisons
Please go through the following links.
https://arxiv.org/ftp/arxiv/papers/2002/2002.09334.pdf
https://www.biorxiv.org/content/10.1101/2020.01.21.914044v2.full.pdf
Dear Muhammad Ali thanks a lot for all your answers and great collaboration with my questions. I really appreciate that!
Cristian Ramos-Vera thanks a lot for all the links that you shared with me!
These publications can be helpful:
COVID-19 coronavirus epidemic has a natural origin: https://www.sciencedaily.com/releases/2020/03/200317175442.htm
Bat Coronaviruses in China: https://www.mdpi.com/1999-4915/11/3/210
Regards
The World Health Organization’s Key Messages and Actions for COVID-19 Prevention and Control in Schools can be helpful.
Find attached
Dear Dr. Adasa Nkrumah thanks a lot for sharing these links with me! I really appreciate it
Machine Learning: An Answer to Coronavirus - Analytics Insight
www.analyticsinsight.net › machine-learning-answer-co...
Apr 1, 2020
Deep learning COVID-19 detection bias: accuracy through ...
link.springer.com › articleMay 27, 2020 - Detection of COVID-19 cases' accuracy is posing a conundrum for scientists, physicians, and policy-makers
Dear Abhijit Mitra , thanks a lot for your reply. I really appreciate your comment.
Many things to learn yet and everyday new things, new guidelines are coming. Still there is controversy on origin and transmission and lots of discussions are going on herd immunity and effective vaccine.
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