Early detection of septic shock onset using interpretable machine learners

Medicine & Life Sciences

• Septic Shock 100%
• Sepsis 58%
• Machine Learning 54%
• Electronic Health Records 37%
• Forests 28%
• Sensitivity and Specificity 18%
• Logistic Models 15%
• Clinical Decision Support Systems 15%
• Centers for Medicare and Medicaid Services (U.S.) 15%
• Decision Trees 15%
• Support Vector Machine 14%
• Delivery of Health Care 14%
• Translational Medical Research 13%
• Health Insurance 12%
• Information Storage and Retrieval 11%
• Datasets 9%
• Linear Models 9%