Identifying who has long COVID in the USA: a machine learning approach using N3C data

Business & Economics

• Machine Learning 100%
• United States of America 30%
• Electronic Health Record 25%
• Learning Model 19%
• Severe Acute Respiratory Syndrome 17%
• Health Care Utilization 17%
• Medication 15%
• Shapley Value 15%
• Health 8%
• Clinical Trials 7%
• Infection 7%
• Inpatients 7%
• Patient Care 7%
• Repository 7%
• Cohort 6%
• Emergency 6%
• Funding 6%
• Data Sources 6%
• Train 6%
• Operator 5%
• Demographics 5%

Medicine & Life Sciences

• Machine Learning 86%
• Electronic Health Records 19%
• SARS Virus 18%
• Patient Acceptance of Health Care 15%
• National Institutes of Health (U.S.) 13%
• National Center for Advancing Translational Sciences (U.S.) 12%
• Pandemics 6%
• Proxy 6%
• Information Storage and Retrieval 5%
• Dyspnea 5%
• Inpatients 5%
• Patient Care 4%
• Emergencies 4%
• Clinical Trials 4%
• Demography 4%
• Antigens 4%
• Polymerase Chain Reaction 3%
• Infections 3%
• Population 2%
• Therapeutics 1%