Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study

Keyphrases

• Model-driven Development 100%
• Delirium 100%
• Acute Care Setting 100%
• Machine Learning Classifiers 100%
• Delirium Screening 100%
• Nursing Data 100%
• Observation Scale 50%
• Prediction Model 33%
• Machine Learning Models 33%
• Area under the Receiver Operating Characteristic Curve 16%
• Switzerland 16%
• Screening Program 16%
• Inclusion Criteria 16%
• Clinical Practice 16%
• Teaching Hospital 16%
• Existing Data 16%
• Structured Data 16%
• Demographic Characteristics 16%
• Machine Learning Based 16%
• Patients at Risk 16%
• Tertiary Teaching 16%
• Predictive Models 16%
• Missing Data 16%
• Screening Method 16%
• Training Set 16%
• Screening Protocol 16%
• Gradient Boosting Machine 16%
• Nursing Process 16%
• Process Planning 16%
• Zurich 16%
• Data Collection Process 16%
• Machine Model 16%
• Delirium Prediction 16%

Nursing and Health Professions

• Delirium 100%
• Acute Care Setting 100%
• Area under the Curve 18%
• Screening 18%
• Receiver Operating Characteristic 9%
• Clinical Practice 9%
• Teaching Hospital 9%
• Nursing Process 9%

Pharmacology, Toxicology and Pharmaceutical Science

• Delirium 100%