364 Identification of Symptom-Based Phenotypes in PASC Patients through Bipartite Network Analysis: Implications for Patient Triage and Precision Treatment Strategies

OBJECTIVES/GOALS: Approximately 10% of COVID-19 patients experience multiple symptoms weeks and months after the acute phase of infection. Our goal was to use advanced machine learning methods to identify PASC phenotypes based on their symptom profiles, and their association with critical adverse ou...

Descripción completa

Detalles Bibliográficos
Autores principales: Bhavnani, Suresh K., Zhang, Weibin, Hatch, Sandra, Urban, Randall, Tignanelli, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Valued Approaches
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209176/
http://dx.doi.org/10.1017/cts.2022.207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209176/
http://dx.doi.org/10.1017/cts.2022.207

Ejemplares similares