Search Results - "Sharma, Suchetha"

Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study by Hill, Elaine L, Mehta, Hemalkumar B, Sharma, Suchetha, Mane, Klint, Singh, Sharad Kumar, Xie, Catherine, Cathey, Emily, Loomba, Johanna, Russell, Seth, Spratt, Heidi, DeWitt, Peter E, Ammar, Nariman, Madlock-Brown, Charisse, Brown, Donald, McMurry, Julie A, Chute, Christopher G, Haendel, Melissa A, Moffitt, Richard, Pfaff, Emily R, Bennett, Tellen D

“…More than one-third of individuals experience post-acute sequelae of SARS-CoV-2 infection (PASC, which includes long-COVID). The objective is to identify risk…”
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Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data by Brown, Donald E, Sharma, Suchetha, Jablonski, James A, Weltman, Arthur

“…Cardiopulmonary exercise testing (CPET) provides a reliable and reproducible approach to measuring fitness in patients and diagnosing their health problems…”
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185 Stroke and COVID Population: A Health Equity Analysis by Assefa, Ethan, Hutcherson, Esau, Apatira, Suliah, Milton, Dahnielle, Javaid, Rehan, Brown, Don, Sharma, Suchetha, Loomba, Johanna

“…OBJECTIVES/GOALS: Observational studies suggest unequal effects of COVID-19 on the population of the U.S. distinguished by race and ethnicity. Our primary…”
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Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning by Moradinasab, Nazanin, Sharma, Suchetha, Bar-Yoseph, Ronen, Radom-Aizik, Shlomit, C. Bilchick, Kenneth, M. Cooper, Dan, Weltman, Arthur, Brown, Donald E.

“…The multivariate time series classification (MTSC) task aims to predict a class label for a given time series. Recently, modern deep learning-based approaches…”
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A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data by Jiang, Sihang, Loomba, Johanna, Zhou, Andrea, Sharma, Suchetha, Sengupta, Saurav, Brown, Donald E.

“…Since the COVID-19 pandemic in 2020, there are numerous studies and researches on the long term effect of COVID-19 on both patient level and social level with…”
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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 by L Mandel, Hannah, Colleen, Gunnar, Abedian, Sajjad, Ammar, Nariman, Charles Bailey, L, Bennett, Tellen D, Daniel Brannock, M, Brosnahan, Shari B, Chen, Yu, Chute, Christopher G, Divers, Jasmin, Evans, Michael D, Haendel, Melissa, Hall, Margaret A, Hirabayashi, Kathryn, Hornig, Mady, Katz, Stuart D, Krieger, Ana C, Loomba, Johanna, Lorman, Vitaly, Mazzotti, Diego R, McMurry, Julie, Moffitt, Richard A, Pajor, Nathan M, Pfaff, Emily, Radwell, Jeff, Razzaghi, Hanieh, Redline, Susan, Seibert, Elle, Sekar, Anisha, Sharma, Suchetha, Thaweethai, Tanayott, Weiner, Mark G, Jae Yoo, Yun, Zhou, Andrea, Thorpe, Lorna E

“…Abstract Study Objectives Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed…”
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Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C by Sengupta, Saurav, Loomba, Johanna, Sharma, Suchetha, Chapman, Scott A., Brown, Donald E.

“…Post-acute sequelae of SARS-Co V-2 infection (PASC), also known as Long COVID, is an emerging medical condition in the aftermath of the COVID-19 pandemic…”
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Leveraging multi-site electronic health data for characterization of subtypes: a pilot study of dementia in the N3C Clinical Tenant by Sharma, Suchetha, Liu, Jiebei, Abramowitz, Amy Caroline, Geary, Carol Reynolds, Johnston, Karen C, Manning, Carol, Van Horn, John Darrell, Zhou, Andrea, Anzalone, Alfred J, Loomba, Johanna, Pfaff, Emily, Brown, Don

“…To provide a foundational methodology for differentiating comorbidity patterns in subphenotypes through investigation of a multi-site dementia patient dataset…”
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Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C by Jiang, Sihang, Loomba, Johanna, Sharma, Suchetha, Brown, Donald

“…It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of…”
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Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C by Jiang, Sihang, Loomba, Johanna, Sharma, Suchetha, Brown, Donald

“…It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of…”
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Lessons Learned: A Case Study in Creating a Data Pipeline using Twitter's API by Tiezzi, Jason, Tyler, Rice, Sharma, Suchetha

“…With over 300 million users, including frequent postings by elites across the political and entertainment fields, Twitter has become a rich field for mining…”
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Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid by Sengupta, Saurav, Loomba, Johanna, Sharma, Suchetha, Brown, Donald E, Thorpe, Lorna, Haendel, Melissa A, Chute, Christopher G, Hong, Stephanie

“…Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive…”
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Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid by Sengupta, Saurav, Loomba, Johanna, Sharma, Suchetha, Brown, Donald E., Thorpe, Lorna, Haendel, Melissa A, Chute, Christopher G, Hong, Stephanie

“…Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive…”
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Enabling Clinically Relevant and Interpretable Deep Learning Models for Cardiopulmonary Exercise Testing by Jablonski, James A., Angadi, Siddhartha S., Sharma, Suchetha, Brown, Donald E.

“…Cardiopulmonary exercise testing (CPET) provides a safe, objective, and reliable assessment of cardiorespiratory fitness and is a valuable method used by…”
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Using Machine Learning to Predict Development of Heart Failure, during Post-Acute COVID-19, by Race and Ethnicity by Cathey, Emily, Delelegn, Bezawit, Landi, AnnaMaria, Sharma, Suchetha, Loomba, Johanna, Mazimba, Sula, Brown, Donald E.

“…Roughly 6 million Americans have Heart Failure (HF), and this number could increase to 8 million by 2030 [1]. As of early 2022, about 76 million Americans have…”
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