Machine Learning Turns Up COVID Surprise

June 6, 2023

(IEEE Spectrum) – In one recent effort, researchers at Northwestern University have applied machine learning to electronic health records to produce a more granular, day-to-day analysis of pneumonia in an intensive care unit (ICU), where patients received assistance breathing from mechanical ventilators. The analysis, published 27 April in the Journal of Clinical Investigation, includes clustering of patient days by machine learning, which suggests that long-term respiratory failure and the risk of secondary infection are much more common in COVID-19 patients than the subject of much early COVID fears—cytokine storms. (Read More)