Resource and Response Type Classification for Consumer Health Question Answering. - William R. Kearns; Jason A. Thomas (AMIA, 2018)

UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference. - William R. Kearns; Wilson Lau; Jason A. Thomas (BioNLP@ACL, 2019)

Demonstrations in Synthetic Data and the National COVID Cohort Collaborative (N3C). - Adam B. Wilcox; Randi E. Foraker; Jason A. Thomas; Jon D. Morrow; Noa Zamstein (AMIA, 2021)

Predicting COVID-19 Regional Case Loads with Synthetic Data. - Adam B. Wilcox; Noa Zamstein; Randi E. Foraker; Jason A. Thomas; Kenneth Wilkins; Jon D. Morrow (AMIA, 2021)

Prediction of COVID-19 Case Severity Using Synthetic Data Derived from the National COVID Cohort Collaborative. - Noa Zamstein; Andrew J. Neumann; Randi E. Foraker; Jason A. Thomas; Adam B. Wilcox; Jon D. Morrow (AMIA, 2021)

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). - Jason A. Thomas; Randi E. Foraker; Noa Zamstein; Jon D. Morrow; Philip R. O. Payne; Adam B. Wilcox; Melissa A. Haendel; Christopher G. Chute; Kenneth R. Gersing; Anita Walden; Tellen D. Bennett; David A. Eichmann; et al. (J. Am. Medical Informatics Assoc., 2022)