Using statistical and machine learning methods to evaluate the prognostic accuracy of SIRS and qSOFA

Medicine & Life Sciences

• Systemic Inflammatory Response Syndrome 100%
• Machine Learning 90%
• Sepsis 64%
• Decision Trees 55%
• Logistic Models 29%
• Hospital Emergency Service 21%
• Odds Ratio 17%
• Mortality 13%
• Sensitivity and Specificity 13%
• Confidence Intervals 10%
• Hospital Mortality 8%
• Health Personnel 7%
• ROC Curve 7%
• Area Under Curve 7%
• Retrospective Studies 5%

Engineering & Materials Science

• Logistic regression 88%
• Decision trees 77%
• Machine learning 58%
• Labels 13%