Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room

Medicin och livsvetenskap

• Acute Coronary Syndrome 63%
• Hospital Emergency Service 50%
• Logistic Models 41%
• ROC Curve 32%
• Calibration 26%
• Chest Pain 24%
• Electrocardiography 20%
• Odds Ratio 16%
• Machine Learning 14%
• Principal Component Analysis 13%
• Sensitivity and Specificity 9%
• Occupational Groups 9%
• Population 4%
• Therapeutics 2%

Ingenjörs- och materialvetenskap

• Emergency rooms 100%
• Logistic regression 69%
• Neural networks 38%
• Electrocardiography 17%
• Calibration 13%
• Principal component analysis 8%
• Logistics 8%
• Personnel 6%
• Machine learning 6%