Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30697, first published .
The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

Journals

  1. El Emam K, Mosquera L, Fang X. Validating a membership disclosure metric for synthetic health data. JAMIA Open 2022;5(4) View
  2. Thomas J, Foraker R, Zamstein N, Morrow J, Payne P, Wilcox A, Haendel M, Chute C, Gersing K, Walden A, Bennett T, Eichmann D, Guinney J, Kibbe W, Liu H, Pfaff E, Robinson P, Saltz J, Spratt H, Starren J, Suver C, Williams A, Wu C, Gabriel D, Hong S, Kostka K, Lehmann H, Moffitt R, Morris M, Palchuk M, Zhang X, Zhu R, Amor B, Bissell M, Clark M, Girvin A, Lee A, Miller R, Walters K, Chae Y, Cook C, Dest A, Dietz R, Dillon T, Francis P, Fuentes R, Graves A, McMurry J, Neumann A, O'Neil S, Sheikh U, Volz A, Zampino E, Austin C, Bozzette S, Deacy M, Garbarini N, Kurilla M, Michael S, Rutter J, Temple-O'Connor M, Bradwell K, Manna A, Qureshi N, Saltz M, Bramante C, Harper J, Hernandez W, Koraishy F, Mariona F, Mattapally S, Saha A, Vedula S, Fu Y, Mathews N, Mendelevitch O. Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). Journal of the American Medical Informatics Association 2022;29(8):1350 View
  3. Murtaza H, Ahmed M, Khan N, Murtaza G, Zafar S, Bano A. Synthetic data generation: State of the art in health care domain. Computer Science Review 2023;48:100546 View
  4. Theodorou B, Xiao C, Sun J. Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model. Nature Communications 2023;14(1) View
  5. Llewellyn N, Nehl E, Dave G, DiazGranados D, Flynn D, Fournier D, Hoyo V, Pelfrey C, Casey S. Translation in action: Influence, collaboration, and evolution of COVID‐19 research with Clinical and Translational Science Awards consortium support. Clinical and Translational Science 2024;17(1) View
  6. Lun R, Siegal D, Ramsay T, Stotts G, Dowlatshahi D, de Carvalho L. Synthetic data in cancer and cerebrovascular disease research: A novel approach to big data. PLOS ONE 2024;19(2):e0295921 View
  7. El Emam K, Mosquera L, Fang X, El-Hussuna A. An evaluation of the replicability of analyses using synthetic health data. Scientific Reports 2024;14(1) View