Suchetha Sharma

According to our database, Suchetha Sharma authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Detecting Spike Wave Discharges (SWD) using 1-dimensional Residual UNet.

Saurav Sengupta, Scott Kilianski, Suchetha Sharma, Sakina Lashkeri, Ashley McHugh, Mark Beenhakker, Donald E. Brown

CoRR, January, 2026

2024

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., May, 2024

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

Proceedings of the International Conference on Machine Learning and Applications, 2023

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

Proceedings of the International Conference on Machine Learning and Applications, 2023

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

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022