Predicting long covid in the national covid cohort collaborative using super learner: cohort study

HIGHLIGHTS

• What: The authors report the calibration metrics for each candidate algorithm (logistic regression, Lasso, gradient boosting, and random forest) and the ensemble algorithm in Figure 1.
• Who: Butzin-Dozier et al et al. from the University of Alabama at Birmingham Birmingham, School of Public Health, University of California, Berkeley, Berkeley, CA USA have published the research: Preprint - 10.2196/53322, in the Journal: (JOURNAL)
• Future: Future studies should seek to parse the contributions of respiratory symptoms to PASC through the pathways of baseline susceptibility to COVID-19 versus phenotyping of severe COVID-19 . . .
  

   

  

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