Chronic subdural hematoma outcome prediction using logistic regression and an artificial neural network

Keyphrases

• Outcome Prediction 100%
• Logistic Regression 100%
• Artificial Neural Network 100%
• Chronic Subdural Hematoma 100%
• Training Set 50%
• Regression Model 50%
• Area under the Curve 50%
• Hematoma 50%
• Glasgow Outcome Scale 50%
• Validation Set 50%
• Glasgow Coma Scale 50%
• Brain Atrophy 50%
• Midline Shift 50%
• Intraspinal Air 50%
• Recurrence Risk 25%
• Favorable Outcome 25%
• Regression Analysis 25%
• Potential Predictors 25%
• Superior Performance 25%
• Feed-forward Back-propagation 25%
• Back-propagation Artificial Neural Network (BP-ANN) 25%
• Four-layer 25%
• Artificial Neural Network Model 25%
• Hyperdense 25%
• Hematoma Density 25%
• Regression Neural Network 25%
• At Discharge 25%
• Haematoma Thickness 25%

Neuroscience

• Neural Network 100%
• Subdural Hematoma 100%
• Artificial Neural Network 100%
• Hematoma 80%
• Midline Shift 40%
• Coma 40%

Mathematics

• Logistic Regression 100%
• Neural Network 100%
• Artificial Neural Network 100%
• Regression Model 40%
• Test Set 40%
• Training Set 20%