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1. The Prevalence of Post-Acute Sequelae of COVID-19 in Solid Organ Transplant Recipients: Evaluation of Risk in the National COVID Cohort Collaborative (N3C)

2. Effect of Paxlovid Treatment on Long COVID Onset: An EHR-Based Target Trial Emulation from N3C

3. Genetic and Survey Data Improves Performance of Machine Learning Model for Long COVID

4. Reengineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A study from the N3C and RECOVER consortia

5. The N3C governance ecosystem: a model socio-technical partnership for the future of collaborative analytics at scale

6. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

7. Nonelective coronary artery bypass graft outcomes are adversely impacted by Coronavirus disease 2019 infection, but not altered processes of care: A National COVID Cohort Collaborative and National Surgery Quality Improvement Program analysis

8. An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)

11. Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative

12. Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs

13. Hormone Replacement Therapy and COVID-19 Outcomes in Solid Organ Transplant Recipients Compared with the General Population

15. Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

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

20. NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study

22. Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration

24. Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative

28. Characterizing Long COVID: Deep Phenotype of a Complex Condition

29. Who has long-COVID? A big data approach

32. Children with SARS-CoV-2 in the National COVID Cohort Collaborative (N3C)

33. Characterizing Long COVID: Deep Phenotype of a Complex Condition

35. NSAID use and clinical outcomes in COVID-19 patients: A 38-center retrospective cohort study

36. Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information

38. Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research

39. Identifying optimal survey-based algorithms to distinguish diabetes type among adults with diabetes

46. Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon

47. Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

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