Finding Long-COVID: Temporal Topic Modeling of Electronic Health Records from the N3C and RECOVER Programs

October 2024 in “ npj Digital Medicine ”

Shawn T. O’Neil, Charisse Madlock‐Brown, Kenneth J. Wilkins, Ryan McGrath, Hannah Davis, Gina Assaf, Hannah Wei, Parya Zareie, Evan French, Johanna Loomba, Julie A. McMurry, Andrea Zhou, Christopher G. Chute, Richard A. Moffitt, Emily Pfaff, Yun Jae Yoo, Peter Leese, Robert Chew, Michael W. Lieberman, Melissa Haendel, the N3C and RECOVER Consortia

Studysummary This study observed that patients with COVID-19 had many conditions and phenotypes that increased post-infection, varying by demographics and infection wave, which could enhance understanding and diagnostics of Long-COVID.

Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer

View this study on nature.com →

Discuss this study in the Community →

Research cited in this study

1 / 1 results

research Alopecia in Patients with COVID-19: A Systematic Review and Meta-Analysis

25 citations , February 2022 in “JAAD International”

This review analyzed data on alopecia types associated with COVID-19, suggesting androgenetic alopecia may be a risk factor for severe COVID-19, while telogen effluvium often follows infection and alopecia areata tends to relapse in those with preexisting disease.