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BMC Medicine|February 16, 2023
Coding long COVID: characterizing a new disease through an ICD-10 lensEmily R Pfaff, Charisse Madlock-Brown, John M Baratta, et al.
Medrxiv : the Preprint Server for Health Sciences|September 12, 2022
Coding Long COVID: Characterizing a new disease through an ICD-10 lensEmily R Pfaff, Charisse Madlock-Brown, John M Baratta, et al.
The Lancet. Digital Health|May 19, 2022
Identifying who has long COVID in the USA: a machine learning approach using N3C dataEmily R Pfaff, Andrew T Girvin, Tellen D Bennett, et al.
Medrxiv : the Preprint Server for Health Sciences|October 14, 2022
Long COVID Risk and Pre-COVID Vaccination: An EHR-Based Cohort Study from the RECOVER ProgramM Daniel Brannock, Robert F Chew, Alexander J Preiss, et al.
Medrxiv : the Preprint Server for Health Sciences|May 19, 2023
Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: an EHR-based Target Trial Emulation from N3CAbhishek Bhatia, Alexander J Preiss, Xuya Xiao, et al.
Nature Communications|May 22, 2023
Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER programM Daniel Brannock, Robert F Chew, Alexander J Preiss, et al.
Journal of the American Medical Informatics Association : JAMIA|April 24, 2016
An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth StudyVictor W Zhong, Jihad S Obeid, Jean B Craig, et al.
Medrxiv : the Preprint Server for Health Sciences|August 29, 2022
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 programElaine Hill, Hemal Mehta, Suchetha Sharma, et al.
Plos Medicine|January 17, 2025
Effect of nirmatrelvir/ritonavir (Paxlovid) on hospitalization among adults with COVID-19: An electronic health record-based target trial emulation from N3CAbhishek Bhatia, Alexander J Preiss, Xuya Xiao, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2026
Large language models for cancer registry abstraction: a real-world evaluation across models, variables, and cancer typesJoshua T Fuchs, Matthew J Satusky, Peter J Leese, et al.
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