Prediction models for respiratory outcomes in patients with COVID-19: integration of quantitative computed tomography parameters, demographics, and laboratory features
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DOI: 10.21037/jtd-22-1076
Abstract: Background We aimed to develop integrative machine-learning models using quantitative computed tomography (CT) parameters in addition to initial clinical features to predict the respiratory outcomes of coronavirus disease 2019 (COVID-19). Methods This was a retrospective… read more here.
Keywords: prediction models; pneumonia hypoxia; respiratory failure; hypoxia respiratory ... See more keywords