Predictive power for thrombus detection after atrial appendage closure: machine learning vs. classical methods

HIGHLIGHTS

• who: Pablo Antu00fanez-Muiu00f1os and colleagues from the University of Salamanca, Salamanca, Spain have published the Article: Predictive Power for Thrombus Detection after Atrial Appendage Closure: Machine Learning vs. Classical Methods, in the Journal: (JOURNAL)
• what: In a vast majority of cases, the models focus mainly on the significance of the variables and do not provide a value that assesses the goodness-of-fit of the regression. Compared to previous studies, the authors report the goodness-of-fit of the models . Despite the large number of patients, the retrospective nature of the study is also . . .
  

   

  

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