Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning

HIGHLIGHTS

• who: Elissa Rennert-May from the Department of Medicine, University of Calgary, Calgary, AB, Canada have published the Article: Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning, in the Journal: (JOURNAL) of December/31,/2019
• what: A secondary objective of the study was to assess if machine learning techniques with training of logistic regression models would outperform the pre -selected codes. A test set was not used because the primary aim was a comparison of the different approaches. The study . . .
  

   

  

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