Suchetha Sharma

Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data

A. Weltman, Donald E. Brown, Suchetha Sharma, 2022, BioData Mining.

Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program

R. Moffitt, M. Haendel, H. Spratt, 2022, medRxiv.

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

J. Loomba, Sihang Jiang, Donald E. Brown, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid

M. Haendel, L. Thorpe, S. Sengupta, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection.

Michael I. Jordan, Jasmine A. Berry, Mollie R. Cummins, 2023, JAMA.

Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative.

S. Redline, R. Moffitt, M. Haendel, 2023, Sleep.

Enabling Clinically Relevant and Interpretable Deep Learning Models for Cardiopulmonary Exercise Testing

Donald E. Brown, S. Angadi, Suchetha Sharma, 2022, 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

Lessons Learned: A Case Study in Creating a Data Pipeline using Twitter’s API

Jason Tiezzi, Rice Tyler, Suchetha Sharma, 2020, 2020 Systems and Information Engineering Design Symposium (SIEDS).

Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

R. Moffitt, J. McMurry, S. Russell, 2023, BMC Public Health.

Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C

S. Sengupta, Suchetha Sharma, Johanna J. Loomba, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).