Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study

Medicine & Life Sciences

• Postoperative Complications 72%
• Retrospective Studies 56%
• Area Under Curve 30%
• Emergencies 28%
• Deep Learning 25%
• Precision Medicine 20%
• Surgeons 19%
• Current Procedural Terminology 13%
• Anatomic Models 12%
• Computer Neural Networks 12%
• Databases 11%
• Morbidity 11%
• Mortality 9%
• Quality Improvement 9%
• Health Care Costs 8%
• ROC Curve 7%
• Datasets 7%
• Population 7%
• Demography 6%
• Delivery of Health Care 5%
• Therapeutics 3%

Business & Economics

• Neural Networks 100%
• Surgery 32%
• Emergency 27%
• Deep Learning 19%
• Prediction 17%
• Morbidity 16%
• Mortality 13%
• Data Base 12%
• Electronic Health 10%
• Receiver Operating Characteristic Curve 9%
• Model Testing 8%
• Resistance to Change 8%
• Performance Metrics 7%
• Performance 7%
• Health Care Costs 7%
• Prediction Model 7%
• Network Model 6%
• Pathway 6%
• Medicine 6%
• Financial Resources 6%
• Quality Improvement 6%
• Damage 6%
• Demographics 5%
• Healthcare 5%
• Leverage 5%
• United States of America 2%