Exploiting machine learning algorithms and methods for the prediction of agitated delirium after cardiac surgery: Models development and validation study

Medicine & Life Sciences

• Delirium 100%
• Machine Learning 98%
• Validation Studies 96%
• Thoracic Surgery 78%
• Datasets 31%
• Support Vector Machine 19%
• Area Under Curve 12%
• Costs and Cost Analysis 9%
• Decision Trees 9%
• Forests 9%
• Nursing Homes 8%
• Cognitive Dysfunction 6%
• Mental Disorders 6%
• Stroke 5%
• Aptitude 5%
• Logistic Models 5%