Suchetha Sharma

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Multivariate Time Series

Statistical Methods

Top Venues

Publications

Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. Data Min. Knowl. Discov. 38 (3) (2024)
Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown
Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. ICMLA (2023)
Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. ICMLA (2023)
Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald E. Brown
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C. BIBM (2022)
Donald E. Brown, Suchetha Sharma, James A. Jablonski, Arthur Weltman
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. BioData Min. 15 (1) (2022)
Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. BIBM (2022)
Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. CoRR (2022)