“Researchers from Russia's Federal Medical and Biological Agency analyzed a great number of clinical and diagnostic parameters of a sample of over 6,900 patients who had symptoms of varying severity. This allowed them to develop mathematical models of the outcome of the disease based on machine learning algorithms,” the statement reads.
These algorithms confirmed that a number of clinical factors can help predict the severity of the course of the disease with a high degree of accuracy (about 90%). The clinical factors that were taken into account in the analysis were ferritin, C-reactive protein, erythrocyte sedimentation rate, neutrophil-lymphocyte ratio, respiratory rate and others.
The FMBA concluded that the likelihood of death of coronavirus patients increases with age, gender, body mass index and glucose levels.
Written by belta.by
