A novel model to label delirium in an intensive care unit from clinician actions

Medicine & Life Sciences

• Delirium 86%
• Intensive Care Units 62%
• Machine Learning 25%
• Datasets 23%
• Electronic Health Records 23%
• Area Under Curve 12%
• Biological Models 10%
• Logistic Models 9%
• Guidelines 9%
• Support Vector Machine 9%
• Forests 8%
• Confusion 8%
• Critical Care 6%
• Databases 4%
• Morbidity 4%
• Mortality 3%

Engineering & Materials Science

• Intensive care units 100%
• Labels 63%
• Logistic regression 13%
• Health 13%
• Machine learning 13%
• Random forests 6%
• Labeling 6%
• Support vector machines 5%
• Classifiers 4%

Social Sciences

• clinician 64%
• clinical guidelines 17%
• electronics 13%
• regression 11%
• logistics 9%
• health 8%
• Medical information 7%
• learning 6%
• morbidity 6%
• mortality 5%
• performance 2%
• literature 2%