Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

BACKGROUND: Characterizing Post-Acute Sequelae of COVID (SARS-CoV-2 Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal attributes, and definitions. Scalable characterization of PASC sub-phenotypes can enhance screening capacities, disease management, and treatm...

Descripción completa

Detalles Bibliográficos
Autores principales: Dagliati, Arianna, Strasser, Zachary H., Hossein Abad, Zahra Shakeri, Klann, Jeffrey G., Wagholikar, Kavishwar B., Mesa, Rebecca, Visweswaran, Shyam, Morris, Michele, Luo, Yuan, Henderson, Darren W., Samayamuthu, Malarkodi Jebathilagam, Tan, Bryce W.Q., Verdy, Guillame, Omenn, Gilbert S., Xia, Zongqi, Bellazzi, Riccardo, Murphy, Shawn N., Holmes, John H., Estiri, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511779/
https://www.ncbi.nlm.nih.gov/pubmed/37745021
http://dx.doi.org/10.1016/j.eclinm.2023.102210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511779/
https://www.ncbi.nlm.nih.gov/pubmed/37745021
http://dx.doi.org/10.1016/j.eclinm.2023.102210

Ejemplares similares