Healthcare IT News January 22, 2021
By using patient age, sex and daily clinical state, the machine learning model also predicts the probability of in-hospital mortality.
A group of Israeli scientists published a paper in the Journal of the American Medical Informatics Association this week showcasing how a machine learning model can predict the illness trajectory of COVID-19 patients by using individual characteristics.
The model predicts the patient’s disease course in terms of clinical states – moderate, severe or critical – as well as hospital utilization.
“Given the danger of unprecedented burden on healthcare systems due to COVID-19, there is a need for tools helping decision-makers plan resource allocation on the unit, hospital and national levels,” wrote the researchers.
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