Performance Evaluation of a Supervised Machine Learning Pain Classification Model Developed by Neonatal Nurses

Keyphrases

• Classification Model 100%
• Performance Evaluation 100%
• Machine Learning Models 100%
• Supervised Machine Learning 100%
• Neonatal nurses 100%
• Pain Classification 100%
• Neonatal Intensive Care Unit 80%
• Intensive Care nurses 80%
• Brain-inspired 60%
• Coding System 60%
• Facial Coding 60%
• Neonate 40%
• Inter-rater Reliability 40%
• Neurodevelopmental 20%
• Pain Assessment 20%
• Facial Expression 20%
• Area under the Receiver Operating Characteristic Curve 20%
• Machine Learning Solutions 20%
• Validation Studies 20%
• Non-associated 20%
• Solution Approach 20%
• Pain Scale 20%
• Assessment Practices 20%
• Pain Intensity 20%
• Human-in-the-loop 20%
• Current Pain 20%
• Embedded Machine Learning 20%
• Human-centered Design 20%
• Labeled Data 20%
• Video Sequences 20%
• Weighted Mean 20%
• Pain Recognition 20%
• Implications for Practice 20%
• Implications for Research 20%
• Pain Expression 20%
• Retrospective Validation 20%
• Neonatal Pain 20%
• Heel Lance 20%
• Classification Machine Learning 20%
• Observational Pain Tools 20%
• Automated Monitoring System 20%

Nursing and Health Professions

• Area under the Curve 100%
• Neonatal Nurse 100%
• Supervised Machine Learning 100%
• Neonatal Intensive Care Unit 80%
• Pain Assessment 60%
• Interrater Reliability 40%
• Neonates 40%
• Pain Intensity 20%
• Receiver Operating Characteristic 20%