Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures

HIGHLIGHTS

• who: Vera Ru00f6hr and Susanne Koch from the Kessler Foundation, United States Duke University, United States have published the Article: Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures, in the Journal: (JOURNAL)
• what: On this basis, the authors aim to develop a robust machine_learning model to predict POD, showing that incorporating EEG signatures improves the risk evaluation. The authors focus on two main types of artifacts: high amplitude artifacts and frequency artifacts. The authors show that taking the medication into account can improve the results of the overall risk . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.