Prediction of Systemic-to-Pulmonary Artery shunt surgery outcomes using administrative data

Keyphrases

• Surgical Outcomes 100%
• Administrative Data 100%
• Clinical Judgment 100%
• Systemic-to-pulmonary Shunt 100%
• Machine Learning Approach 100%
• Shunt Surgery 100%
• Clinical Outcomes 50%
• Patient Outcomes 50%
• Patient Care 50%
• Postoperative Outcomes 50%
• Tetralogy of Fallot 50%
• Cardiac Surgery 50%
• Postoperative Length of Stay 50%
• Children's Hospital 50%
• Veno-venous Extracorporeal Membrane Oxygenation (VV-ECMO) 50%
• Patient-specific 50%
• System Database 50%
• Clinical Practice 50%
• Pediatric Health Information System 50%
• Specific Factors 50%
• Clinical Decision-making 50%
• Machine Learning 50%
• Administrative Database 50%
• Random Forest 50%
• Newborn Period 50%
• Procedure Specific 50%
• Pulmonary Blood Flow 50%
• Multimodal Data 50%

Medicine and Dentistry

• Systemic Pulmonary Shunt 100%
• Patient Care 50%
• Pediatrics 50%
• Newborn Period 50%
• Tetralogy of Fallot 50%
• Heart Surgery 50%
• Extracorporeal Membrane Oxygenation 50%
• Health Information System 50%
• Clinical Decision Making 50%
• Lung Blood Flow 50%