Identifying who has long COVID in the USA: a machine learning approach using N3C data

BACKGROUND: Post-acute sequelae of SARS-CoV-2 infection, known as long COVID, have severely affected recovery from the COVID-19 pandemic for patients and society alike. Long COVID is characterised by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous definition. Studies...

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Detalles Bibliográficos
Autores principales: Pfaff, Emily R, Girvin, Andrew T, Bennett, Tellen D, Bhatia, Abhishek, Brooks, Ian M, Deer, Rachel R, Dekermanjian, Jonathan P, Jolley, Sarah Elizabeth, Kahn, Michael G, Kostka, Kristin, McMurry, Julie A, Moffitt, Richard, Walden, Anita, Chute, Christopher G, Haendel, Melissa A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110014/
https://www.ncbi.nlm.nih.gov/pubmed/35589549
http://dx.doi.org/10.1016/S2589-7500(22)00048-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110014/
https://www.ncbi.nlm.nih.gov/pubmed/35589549
http://dx.doi.org/10.1016/S2589-7500(22)00048-6

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