Predicting long-term neurocognitive outcome after pediatric intensive care unit admission for bronchiolitis-preliminary exploration of the potential of machine learning

Keyphrases

• Intensive Care Unit Admission 100%
• Machine Learning 100%
• Pediatric Intensive Care Unit 100%
• Bronchiolitis 100%
• Psychosocial Outcomes 100%
• Young Age 33%
• Neurocognitive Function 33%
• Low Birth Weight 33%
• Verbal Memory 33%
• Linear Regression 22%
• Linear Regression Analysis 22%
• Prediction Model 22%
• Low Socioeconomic Status 22%
• Poor Performance 22%
• Machine Learning Models 22%
• Low Intelligence 22%
• Cross-sectional Observational Study 11%
• Demographic Characteristics 11%
• Healthy Peers 11%
• Laboratory Results 11%
• Outcome Prediction 11%
• Intervention Characteristics 11%
• Mechanical Ventilation 11%
• Model Performance 11%
• K-nearest 11%
• Ventilatory Parameters 11%
• Computerized Cognitive Assessment 11%
• Disease Parameters 11%
• Regression Tree 11%
• Memory Outcome 11%

Psychology

• Linear Regression 100%
• Learning Model 50%
• Demographic Characteristic 25%
• Neurocognitive Function 25%