Prediction and detection models for acute kidney injury in hospitalized older adults

Social Sciences

• logistics 61%
• regression 50%
• etiology 27%
• morbidity 26%
• Health Care System 26%
• management 25%
• medication 22%
• mortality 22%
• learning 17%
• drug 17%
• costs 14%
• evaluation 11%
• experience 8%

Medicine & Life Sciences

• Acute Kidney Injury 100%
• ROC Curve 27%
• Area Under Curve 26%
• Machine Learning 18%
• Logistic Models 15%
• Decision Trees 10%
• Support Vector Machine 9%
• Hospital Costs 9%
• Diuretics 8%
• Disease Management 8%
• Angiotensin-Converting Enzyme Inhibitors 7%
• Respiratory Insufficiency 7%
• Length of Stay 6%
• Demography 5%
• Delivery of Health Care 4%
• Morbidity 4%
• Kidney 4%
• Mortality 4%
• Therapeutics 1%

Engineering & Materials Science

• Logistic regression 87%
• Machine learning 38%
• Health care 26%
• Decision trees 25%
• Deterioration 23%
• Support vector machines 21%
• Recovery 17%
• Costs 9%