Researchers fed a computer program with health data from 3,944 Danish COVID-19 patients to determine the mortality risk.

MDDI Staff

February 10, 2021

1 Min Read
IMG_Feb102021at11615PM.jpg
maestrovideo -stock.adobe.com

Researchers at the University of Copenhagen’s Department of Computer Science have used artificial intelligence to assess whether a person will die from COVID-19 or not.

Based on patient data from the Capital Region of Denmark and Region Zealand, the results of the study demonstrate that artificial intelligence can, with up to 90% certainty, determine whether an uninfected person who is not yet infected will die of COVID-19 or not if they are unfortunate enough to become infected.

Once admitted to the hospital with COVID-19, the computer can predict with 80% accuracy whether the person will need a respirator.

Researchers fed a computer program with health data from 3,944 Danish COVID-19 patients. This trained the computer to recognize patterns and correlations in both patients' prior illnesses and in their bouts against COVID-19.

The diseases and health factors that, according to the study, have the most influence on whether a patient ends up on a respirator after being infected with COVID-19 are in order of priority: BMI, age, high blood pressure, being male, neurological diseases, COPD, asthma, diabetes and heart disease.

The AI-fueled research comes at a time when there are more than 2.3 million reported deaths from COVID-19 worldwide, according to statistics from worldometers.info. There are about 108 million reported cases and nearly 80 million have recovered, the website shows.

Sign up for the Design News Daily newsletter.

You May Also Like