The question is, do you want to know?
University of Copenhagen researchers fed a computer program with health data from 3,944 Danish COVID-19 patients, as well as any underlying conditions.
They then trained it to look for patterns in a patients’ prior illness to determine the risk factors and potential outcome from Covid-19 and found that BMI, age and being male were the highest risk factors when it came to the likelihood of dying.
After “learning” from the data, the AI can determine with 90% certainty if a person will die if they contract the disease.
It might seem like a good idea to put those most at risk at the front of the line for the vaccine, but don’t count on it. It’s highly unlikely that any government would suggest that men go first.
In order of priority, the underlying conditions that are most associated with dying from COVID-19 are: BMI, age, high blood pressure, being male, neurological diseases, COPD, asthma, diabetes and heart disease.
Study author Mads Nielsen said:
“The likelihood of dying or ending up on a respirator is heightened if you are male, have high blood pressure or a neurological disease.”
Once admitted to the hospital with Covid-19, the computer software can predict with 80 percent accuracy whether the person will need a respirator, the team found.
Certain diseases and health factors have a greater influence on whether a patient ends up on a respirator than others after being infected, according to the study.
The group at the greatest risk of dying from coronavirus if they contract the disease are old, fat white men with high blood pressure, according to the researchers.