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Researchers Use AI to Assess Whether a Person Will Die from COVID-19


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

University Of Copenhagen Department Computer Science , Computer Science , Capital Region , Region Zealand , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , கணினி அறிவியல் , மூலதனம் பகுதி , பகுதி ஜீலாந்து ,

Artificial Intelligence Can Tell If An Uninfected Person Would Die From COVID-19 With 90 Percent Accuracy


According to
Eurek Alert!, the assessment has an accuracy rate of around 90 percent after analyzing the data of almost 4,000 Danes who suffered from COVID-19.
Health experts hope to use the tool in order to understand which members of the population should receive the vaccine first and make a more effective roll-out in the midst of second waves occurring across the globe.
In addition, the model was also able to predict with around 80 percent accuracy which patients would need a respirator if infected. This information could help doctors better care for patients by knowing almost immediately who will be requiring the machines and hopefully save lives in the process. Health experts hope that combining infection rate patterns with the population s health data will be able to predict which hospitals should be sent respirators to avoid shortages in the event of a sudden outbreak. ....

Astrazeneca Covid , Heathcliff Omalley Getty , University Of Copenhagen Department Computer Science , University Of Copenhagen , Lab Technicians , Professor Mads Nielsen , Heathcliffo Malley , Corona Virus , ஹீத் கிளிஃப் ஓமல்லேய் கெட்டி , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் , ஆய்வகம் தொழில்நுட்ப வல்லுநர்கள் , ப்ரொஃபெஸர் மாட்ஸ் நீல்சன் , கொரோனா வைரஸ் ,