Johanna Loomba

According to our database, Johanna Loomba authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs.

Shawn T. O'Neil, Charisse R. Madlock-Brown, Kenneth Wilkins, Brenda M. McGrath, Hannah E. Davis, Gina S. Assaf, Hannah Wei, Parya Zareie, Evan T. French, Johanna Loomba, Julie A. McMurry, Andrea Zhou, Christopher G. Chute, Richard A. Moffitt, Emily R. Pfaff, Yun Jae Yoo, Peter Leese, Robert F. Chew, Michael Lieberman, Melissa A. Haendel

npj Digit. Medicine, 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

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.

Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai

J. Am. Medical Informatics Assoc., 2022

The iTHRIV Commons: a cross-institution information and health research data sharing architecture and web application.

Johanna Loomba, Glenn S. Wasson, Ravi Kiran Reddy Chamakuri, Pabitra Kumar Dash, Stephen G. Patterson, Mary M. A. Potter, Jason Edward Krisch, Martha M. Tenzer, Karen C. Johnston, Donald E. Brown

J. Am. Medical Informatics Assoc., 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