Machine learning model predicts mortality in COVID-19 patients


Machine learning tools selected three biomarkers—lactic dehydrogenase, lymphocyte and high-sensitivity C-reactive protein levels—that can predict the mortality of COVID-19 patients from blood samples from 485 infected individuals in Wuhan, China, according to paper published in Nature Machine Intelligence. These tools predicted the mortality of individual patients more than ten days in advance of their outcomes with more than 90% accuracy.





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