EPISODE · Feb 23, 2021 · 17 MIN
Machine Learning-Based Algorithm to Predict Death from COVID-19
from Springer Nature · host Springer Nature
Dr. Netto discusses with his two guests, Dr. Peter MCaffrey from the UTMB in Galveston and Dr. Adam Booth, their publication on developing a machine learning model using 5 serum chemistry laboratory parameters for the prediction of death from COVID-19. The discussion is followed by a conversation on the exciting role of AI and social media in Pathology given the unique expertise of the guests. Associated article: Development of a prognostic model for mortality in COVID-19 infection using machine learning https://www.nature.com/articles/s41379-020-00700-x
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Machine Learning-Based Algorithm to Predict Death from COVID-19
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