The research team at the National Health Insurance Service Ilsan Hospital announced that it has developed a machine learning model for predicting a COVID-19 mortality risk in patients at the point of care, the Korea Herald reported.
The model not only predicted the final outcome — whether patients will die or recover — but also early mortality
According to the researchers, the machine model was able to estimate poor outcomes in patients with COVID-19 for over 90 per cent of the cases. The model considered information such as medical history, age, sex, and income level in predicting the prognosis of patients. It also considered findings from epidemiological surveys such as the route of infection.
The report said the study found that being 70 or older, being male, the presence of symptoms at the time of diagnosis, diabetes mellitus, hypertension, cancer, chronic lung disease or asthma were associated with increased COVID-19-related mortality.
Globally, total cases have reached 46.5 million, with 1.2 million deaths and 31.1 million recoveries. – BusinessNewsAsia.com