Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques

Keyphrases

• Hip Fracture 100%
• Internal Validation 100%
• Development Validation 100%
• Machine Learning Techniques 100%
• Multivariable Prediction Model 100%
• Anamnestic 66%
• University Hospital 33%
• Biochemical Parameters 33%
• Area under the Curve 33%
• Receiver Operating Characteristic Curve 33%
• 12-month Mortality 33%
• External Validation 33%
• Online Tool 33%
• 6-month Mortality 33%
• Level of Care 33%
• Receiver Operating Characteristic 33%
• Generalized Linear Model 33%
• Preoperative Information 33%
• Z-test 33%
• 3-month Mortality 33%
• Extreme Gradient Boosting 33%
• Feature Selection 33%
• Decision Curve Analysis 33%
• XGB Model 33%
• Copenhagen, Denmark 33%
• Consecutive Patients 33%
• Calibration Slope 33%
• Random Forest Model 33%

Medicine and Dentistry

• Hip Fracture 100%
• Prediction Model 100%
• Nonoxinol 9 33%
• Feature Extraction 33%
• Area under the Curve 33%

Nursing and Health Professions

• Hip Fracture 100%
• University Hospital 33%
• Perioperative 33%
• Area under the Curve 33%
• Nonoxinol 9 33%
• Random Forest 33%
• Feature Extraction 33%