Frontal electroencephalogram based drug, sex, and age independent sedation level prediction using non-linear machine learning algorithms

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• who: S. M. Ramaswamy from the Department of Anaesthesiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands have published the Article: Frontal electroencephalogram based drug, sex, and age independent sedation level prediction using non-linear machine learning algorithms, in the Journal: (JOURNAL)
• what: The authors evaluated the performance of four machine_learning algorithms: elastic net logistic regression (EN-LR) , support vector machine with Gaussian kernel (SVM-G) , random forest (RF) , and Ensemble tree with bagging (ET-B) that are commonly used for binary classification problems. The authors compared the performance of four machine_learning models . . .
  

   

  

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