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SARS‐CoV‐2 is affecting different countries all over the world, with significant variation in infection‐rate and death‐ratio. We have previously shown a presence of a possible relationship between different variables including… Click to show full abstract
SARS‐CoV‐2 is affecting different countries all over the world, with significant variation in infection‐rate and death‐ratio. We have previously shown a presence of a possible relationship between different variables including the Bacillus Calmette–Guérin (BCG) vaccine, average age, gender, and malaria treatment, and the rate of spread, severity and mortality of COVID‐19 disease. This paper focuses on developing machine learning models for this relationship.
Keywords:
machine learning;
spread severity;
severity mortality
Journal Title: International Journal of Clinical Practice
Year Published: 2021
Link to full text (if available)
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Journal Title: International Journal of Clinical Practice
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!