Published March 16, 2021
| Version 5
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Relating SARS-Cov-2 Infection Risks To Relative Risks of Dietary Items in Different Ethnicities By Machine Learning
Authors/Creators
- 1. Sharif University of Technology, Tehran, Iran
- 2. Malek Ashtar University of Technology, Tehran, Iran
- 3. Shahid Beheshti University, Tehran, Iran
Description
By applying different machine Learning algorithms, we noticed that the above equation holds for 27 different ethnicities, with a somehow good accuracy 85%. So we could reason that the diet has a key role in Risks of apparent SARS-Cov-2.
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COVID-DIET.pdf
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