Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C. - Sihang Jiang; Johanna Loomba; Suchetha Sharma; Donald E. Brown (BIBM, 2022)

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. - Saurav Sengupta; Johanna Loomba; Suchetha Sharma; Donald E. Brown; Lorna E. Thorpe; Melissa A. Haendel; Christopher G. Chute; Stephanie S. Hong (BIBM, 2022)

Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. - Donald E. Brown; Suchetha Sharma; James A. Jablonski; Arthur Weltman (BioData Min., 2022)

A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. - Sihang Jiang; Johanna Loomba; Andrea Zhou; Suchetha Sharma; Saurav Sengupta; Donald E. Brown (ICMLA, 2023)

Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. - Saurav Sengupta; Johanna Loomba; Suchetha Sharma; Scott A. Chapman; Donald E. Brown (ICMLA, 2023)

Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. - Nazanin Moradinasab; Suchetha Sharma; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Kenneth C. Bilchick; Dan M. Cooper; Arthur Weltman; Donald E. Brown (Data Min. Knowl. Discov., 2024)