Machine learning prediction for COVID-19 disease severity at hospital admission

Social Sciences

• hospital admission 100%
• predictive model 43%
• mortality 29%
• prognostication 27%
• learning 23%
• clinical care 22%
• hospitalization 19%
• illness 14%
• resources 7%
• time 6%

Medicine & Life Sciences

• Machine Learning 79%
• Artificial Respiration 28%
• Area Under Curve 16%
• Sensitivity and Specificity 14%
• Resource Allocation 11%
• Forests 11%
• Mortality 10%
• Critical Illness 9%
• Hospitalization 7%
• Health Care Outcome Assessment 6%

Engineering & Materials Science

• Machine learning 51%
• Artificial Respiration 47%
• Random forests 24%
• Resource allocation 9%
• Classifiers 8%