Automated machine learning optimizes and accelerates predictive modeling from covid-19 high throughput datasets

HIGHLIGHTS

• who: Georgios Papoutsoglou from the University of have published the paper: Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets, in the Journal: Scientific Reports Scientific Reports
• what: The translational value of these findings is questionable as the model presents two severe drawbacks. Τhreshold optimization was also possible as follows: the circles on the ROC curve of the model shown in Fig 2A correspond to different classification thresholds. Upon validation in independent datasets, the model showed rather poorer performance (albeit, only ten samples were available for validation). Although the authors . . .
  

   

  

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